how to do phd in iit delhi

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Minimum Qualifications for admission to Part-time and Sponsored (full-time) PhD Programmes

The following eligibility conditions apply for the Part-time and sponsored full-time programmes.

Only employees of Public Sector Undertakings or Government Departments or Research and Development Organizations or Private Industries (approved by Faculty Boards) are eligible for admission to these programmes.

The minimum full-time experience required after obtaining the qualifying degree and as on date of registration, is given below in Table 2:

Minimum qualification for these candidates is the same as for full-time candidates, except that the requirement of qualifying in a national examination is waived.

For part-time candidates from outside NCR (or at a radial distance of more than 50 km from IIT Delhi), there is a minimum residency requirement of 6 months. DRC/CRC/SRC may specify a higher residency requirement based on the courses recommended as well as the background.

Sponsored (full-time) candidates seeking admission to a Ph.D. programme on the basis of study leave, must submit a “Sponsorship Certificate” on a proper letter head from the appropriate authority in the organization clearly stating the following:

Part-time candidates are required to submit a “No Objection Certificate” (NOC) on a proper letter head from the appropriate authority in the organization clearly stating the following:

he/she will be fully relieved from duty and permitted to reside at the Institute for the period of required residency that is essential for completing the course work (this is not a requirement for candidates who are working in NCR or organizations located within a distance of 50 km from the Institute);

that his/her official duties permit him/her to attend required classes as per the Time Table of IIT Delhi;

that his/her official duties permit him/her to devote sufficient time for research;

facilities for research in the candidate’s field of research are available at the candidate’s place of work, in case the proposed Ph. D. research plan requires him/her to use these facilities when the candidate is physically present at this place of work.

Template of this NOC is available on the IIT Delhi PG admissions website. Kindly note that lack of confirmation and clarity on one or more of the above points in the NOC may make prevent the applicant’s application being processed, even if he/she qualify in the interview/screening.

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M. Tech Admissions 

PhD Admissions 

PhD Admissions

ADMISSION PROCEDURES AND REQUIREMENTS

Ph.D. Programmes

The award of the Ph.D. degree is in recognition of high achievements, independent research and application of scientific knowledge to the solution of technical and scientific problems. Creative and productive inquiry is the basic concept underlying the research work. The details of research programmes in various Departments/Centres are given in Annexure-I.

Course work and other academic requirements:

In order to overcome any deficiency in the breadth of fundamental training or proper foundation for advanced work; special make up or pre-doctoral courses are given by each Department/ Centre. These courses are given either by faculty member or by guests speakers and specialists in the profession. Normally candidates having a B.Tech./M.Sc./M.A. or equivalent degree are required to complete a minimum of 12 * credits with a minimum required GPA of 7.5. M.Tech or equivalent degree holders are required to complete a minimum of 6* credits with a minimum required GPA of 7.5.

*A Department/Centre may specify a higher credit requirement for all their PhD programmes and/or require an individual scholar to complete a larger number of credits based on his/her background and preparation level.

Admission to the PhD Programmes:

Admission to the Ph.D. programmes is normally made on the basis of a interview conducted by the Department/Centre concerned through its Department research committee (DRC) / Centre research committee (CRC). DRC/CRC may decide to conduct a written test as well to screen the candidates.  Appl icat ions are  invi ted  f rom candidates by advertising  the programmes in Employment News/leading newspapers in March for the first semester and in October, for the second semester every year.

Admission schedule:

Normally, Ph.D. programmes are advertised in the month of March and October each year in the Employment news as well as in leading newspapers and admissions are carried out in the months of May and December. Further, admission to Ph.D programme is possible any time in the year through DRC/CRC. They can be allowed to join any time though the course registration in such cases will be possible only at the beginning of the next semester. Candidates seeking admission under this clause must fulfill the required academic qualification/ experience at the time of interview. They must also join within 4 weeks after the issue of admission offer unless specifically permitted to do so. Admission is subject to vacancy being available in the relevant specializations. Duration of the programmes: Minimum period of registration required for students with M.Tech. or equivalent qualifications is 2 years whereas those with B.Tech. or equivalent qualifications is 3 years. All candidates are allowed a maximum of 7 years for submission of their thesis.

I(a) Minimum Qualifications for admission to Full-time PhD Programmes:

The following table defines the minimum qualifications required for admission to fulltime PhD programmes at IIT Delhi for  General/OBC (Non-creamy Layer)  category students. Please note:

These are Institute minimum requirements and any Department/Centre operating through their DRC/CRC can specify higher short-listing criteria than what is specified here.

• This table includes most of the degrees but each DRC/CRC is free to specify the qualifications and disciplines acceptable for admission to their programmes.

• Candidates in the final year of their programmes and who expect to complete all their qualifying degree requirements before third week of July 2012 are eligible to apply for admissions. For short-listing purposes, their performance till the preceding semester (preceding year if their programmes are year based) would be considered but their admission would be subject to their meeting the minimum eligibility criteria after their final qualifying examination results are announced.

I(b) Minimum Qualifications for admission to Part-time and Sponsored (full-time) PhD Programmes:

The following eligibility conditions apply for the Part-time and sponsored full-time programmes.

1. Only employees of Public Sector Undertakings or Government Departments or Research and Development Organizations or Private Industries (approved by Faculty Boards) are eligible for admission to these programmes.

2. All candidates should have a minimum experience of two years as on 1st August, 2012 for admission in July 2012.

3. Minimum qualification for these candidates is the same as for full-time candidates except that the requirement of qualifying in a national examination (column 3 in Table 1) is waived off.

4. For part-time candidates from outside NCR (or at a radial distance of more than 50 KMs from IIT Delhi), there is a minimum residency requirement of 6 months. DRC/CRC may specify a higher residency requirement based on the courses recommended as well as the background.

5. Sponsored (full-time) candidates seeking admission to a Ph.D programme on the basis of study leave, must submit a “Sponsorship certificate” on a proper letterhead from the appropriate authority in the organization clearly stating the following:

- for the period of his/her studies in the programme, the candidate would be treated as on duty with usual salary and allowances, and

- that he/she will be fully relieved and granted study leave for a minimum period of 3 years  (2years for M.Tech. and equivalent degree holders).

6. Part-time candidates are required to submit a “No Objection Certificate” on a proper letterhead from the appropriate authority in the organization clearly stating the following:

- the candidate is permitted to pursue studies on a part-time basis

- that his/her official duties permit him/her to devote sufficient time for research.

- facilities for research in the candidate’s field of research are available at the candidate’s place of work; and

- he/she will be fully relieved from duty and permitted to reside at the Institute for the period required residency (This is not a requirement for candidates who are working in NCR or in organizations located within a distance of 50 KMs from the Institute).

For more information visit the IIT Delhi website

Link:   http://admissions.iitd.ac.in/psp/app/EMPLOYEE/EMPL/h/?tab=PAPP_GUEST

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Doctor of Philosophy (Ph.D.)

The award of Ph.D. degree is in recognition of high achievements, independent research and application of scientific knowledge to the solution of technical and scientific problems. Creative and productive inquiry is the basic concept underlying the research work. In order to overcome any deficiency in the breadth of fundamental training or proper foundation for advanced work, special preliminary or pre-doctoral courses are given by this department.

These courses are given either by faculty members or by guest-speakers and specialists in the profession.

Course requirements:

The requirement of pre-Ph.D. Course Credits/work for Ph.D. student having B.Tech. or equivalent degree will be 20 credits. In case the Ph.D. student having completed 20 credits is unable to complete the research at the Ph.D. level for any reason whatsoever, he/she be allowed to complete M.S.(Research) degree requirement.

M.Tech. or equivalent degree holders are required to complete a minimum of 6 credits. The department may require a larger number of credits in general or in specific cases. The course requirement will be determined by the Department Research Committee (DRC) on the recommendations of the supervisor after due consideration of the background of the student in relation to the proposed topic of research. These courses can be prescribed from existing M.Tech. courses, special pre-Ph.D. courses including laboratory, seminar, foreign language, etc. Normally, no independent study course will be allowed for Ph.D. students.

Full-time M.Tech. and M.S.(R) students of IIT Delhi interested in joining the Ph.D. programme within two years of completion of their M.Tech./M.S.(R) will be granted waiver of residency period. The course work requirements be made up by either additional credits (6 credits as per present norms) taken during their M.Tech./M.S.(R) period (over and above their minimum Degree requirements) or in the summer semester (first or second) by identifying courses. In all cases, such credit transfer be recommended by the concerned DRC as relevant to their Ph.D. programme. The minimum CGPA requirement for the course work is 7.50. If the CGPA at the end of any semester is above 7.00 but less than 7.50, he/she will be asked to take more courses in order to make up the required CGPA. If the SGPA at the end of the first semester and CGPA at the end of any subsequent semester is below 7.00, he/she will have to discontinue the doctoral programme. The course work must be completed within the first two semesters of joining the programme.

A student shall be formally registered/admitted to the candidacy of Ph. D. degree only after he/she has cleared the comprehensive examination. Students would be permitted to take the comprehensive examination only after they have submitted a research plan and have completed the course work (including compulsory audit course - HUL 810 Communication Skills). Full-time and part-time students must clear the comprehensive examination within a period of 18 months and 24 months, respectively, from the date of joining. A maximum of two chances will be given to any student to clear the comprehensive examination. Every student, after having completed the comprehensive examination must formally register for the candidacy on a form obtainable from the PG Section.

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PhD in Economics

The department offers a PhD program in seven academic disciplines (Economics, Literature, Linguistics, Philosophy, Policy, Psychology, and Sociology). The PhD program consists of both full time and part-time students.

Who can apply?

Eligibility: M.A./M.Sc (2 years)/M.Com/M.B.A/M.Phil or B.Tech/BE/B.Sc Engg. (4 years) or M.Tech/ME/MS Research (2-3 years)/M.D/ D.M./M.S/M.DS

Minimum qualifications: 60% marks or 6.00 CGPA on a 10-point scale and qualified GATE/ CSIR/ UGC-NET or JRF/ICAR/ICMR/ DST - INSPIRE Fellowship (check the prospectus of the current admission cycle for details about the exemptions and clarifications.)

Application process: Eligible candidates can apply for the programme at PG Admission Portal .

PhD under UQ-IITD Academy of Research (UQIDAR)

The University of Queensland (UQ), a top 50 global university, and the Indian Institute of Technology Delhi (IITD), an Institute of Eminence, have joined forces to create a joint PhD program that will allow scholars to deliver global impact.

All successful UQIDAR PhD applicants will be offered a scholarship to enable students to focus on their research.

Read more: https://uqidar.org/

• Go to IITD Website

Admission to the PhD programmes is normally made on the basis of an interview of eligible candidates conducted by the Department, through its Department Research Committee (DRC). The DRC may decide to conduct a written test as well, or multiple interviews, or other ways or testing, in order to screen the candidates. Applications are invited from candidates by advertising the programmes in Employment News/web portals in March for the first semester and in October for the second semester every year.

The Department offers both full time and part-time PhD programs and students are admitted twice a year. Students with Masters or Bachelors degree in relevant disciplines with either CSIR/UGC/GATE qualification can apply. Core research areas in the department include:

Structure-property correlation in advanced materials, Metal matrix composites, 3D printing, nanoscale friction and wear, Auxetic materials, Materials characterization using advanced microscopy, phase transformations, tools, functionally graded materials, nanomaterials.

Synthesis of polymers, structure-property correlation in polymers, Rheology and processing of polymers, polymer matrix composites, tribology and mechanical behaviour of polymers, membranes for various applications, antifouling and antibiofouling materials.

High-Temperature Materials

Advanced ceramics, high entropy alloys, materials for extreme environments, thermal barrier coatings, Alloy processing and properties, refractory metals and compounds

Computational Materials Science

First-principles Density Functional Theory (DFT) based materials simulations and design, Molecular dynamics, Excited-state properties, Computational Catalysis, Micromagnetic simulations

Electronic Materials

Semiconductor nanostructures and device applications, Magnetic nanowires and magnetic tunnel junctions for spintronic device applications; Organic electronics.

The Department offers a Ph.D. program in Biochemical Engineering and Biotechnology. The award of the Ph.D. degree is in recognition of high achievements, independent research and application of scientific knowledge to the solution of technical and scientific problems. Creative and productive inquiry is the basic concept underlying the research work.

Information Brochure 2020-2021

In order to overcome any deficiency in the breadth of fundamental training or proper foundation for advanced work, special make up or pre-doctoral courses are given by the Department. Normally candidates having a B.Tech./M.Sc. are required to complete a minimum of 20 credits with a minimum required GPA of 7.5. M.Tech. or equivalent degree holders are required to complete a minimum of 6* credits with a minimum required GPA of 7.5.

M.Tech or equivalent, M.Sc. or equivalent, B.Tech or equivalent degree holders of a particular discipline with a valid GATE score or qualification in national level examinations like CSIR/UGC-NET, DBT-JRF, ICMR-JRF, INSPIRE, etc are eligible for admission.

Minimum period of registration required for students with M.Tech. or equivalent qualifications is 2 years whereas those with B.Tech./M.Sc or equivalent qualifications is 3 years. All candidates are allowed a maximum of 14 registered semester for submission of their thesis.

Admission to the Ph.D. programmes is normally made on the basis of an written test to screen the candidates and interview of shortlisted candidates. The selection process is conducted by the Department through its Department Research Committee (DRC).

A scheme for the award of Teaching/Research Assistantship for providing financial assistance to the students exists. In terms of this scheme, those non-sponsored students who are admitted on full-time basis to Ph.D. programs are considered for the award of Teaching/Research Assistantship, under which they will be paid Rs.25,000/- per month for first two years (as JRF) and Rs. 28,000/- per month for next three years (as SRF). These students would be required to provide assistance of 8 hours/week to the Department.

PhD Ordinance

Means to a beginning (Published by IndiaBioscience, Sep 2020)

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Masters in Public Policy

The School of Public Policy has launched a program on Masters in Public Policy or MPP in Science Technology and Innovation (STI) and Development in June 2021. For more details on the program, please see the MPP in STI and Development Information Brochure:  Click here

Admissions will take place once a year prior to the summer break. We look forward to receiving applications for the MPP program in future admissions cycle. Details of the admission process will be updated on this page.  For information on institute minimum qualification criteria please see the IIT Delhi   information brochure on the admissions page.

The institute offers merit-cum-means scholarships for eligible candidates who are admitted to the program. Details can be sought from the PG Section at IIT Delhi. 

For details about admission process please see under "MPP Admission" on this page.

MPP Programme - Course Plan:   here

List of SPP Courses floated for Academic Year 2023-24, Semester I:  here

PhD in Public Policy

The PhD program in Public Policy aims to train students to perform cutting edge research on questions at the intersection of Science, Technology, Innovation (STI) and development. Prospective students are expected to engage in one of the key research areas of the school. Please refer to the " Research " and " People " tabs to get a better idea of key research areas.

Admissions will take place once a year prior to the summer break. We look forward to receiving applications for the PhD program in future admissions cycle. Details of the admission process will be updated on this page.  For information on institute minimum qualification criteria please see the IIT Delhi Delhi   information brochure on the admissions page.

All full-time PhD students admitted to the program receive an institute scholarship. Details can be sought from the PG Section at IIT Delhi. 

Past admission papers for reference are available here .

For details about admission process please see under "PhD Admission" on this page.

Research @ CSE/SIT

Research updates.

CSE/SIT, IITD

News & Announcements

List of Selected MSR Candidates for the PG program May 2024 (Tentative) Click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (May 2024) Click here. (NEW)

List of Selected Candidates for the PG program December 2023 Click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (Dec 2023). Click here.

PhD/MSR Counselling session to be organized on March 18, 2023 from 11 AM to 12:30 PM. For more details click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (Dec 2022). Click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (May 2022). Click here.

Presentation from MSR orientation. Click here (PDF).

PPT presentation of PhD orientation. Click here.

PhD Symposium to be Organized on Dec 4/Dec 5, 2019. For details, check here.

PhD Symposium to be Organized on Dec 3/Dec 4, 2018. For details, check here.

Email: [email protected]

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PhD Programmes at IIT Delhi

Solid Mechanics : Large Deformations, Impact Mechanics, Elasticity, Piezothermoelasticity, Composite Materials and structures Plates and Shells, Non-linear Dynamics and Chaos, Off-Shore Structures, Smart Structures, Structural Stability, Snow Mechanics, Dynamic Plasticity, Nano Composites, Damage Mechanics, Soft Materials, Structural Health Monitoring, Functionally Graded Structures, Multi-Scale Modelling of Nano-Structures, Biomechanics/Cell Mechanics, Cardiovascular Biomechanics, Brain Biomechanics, Computational Surgery. 

Fluid Mechanics : Internal and External Flows, Solid-Liquid Flows, Computational Fluid Dynamics, Hydrodynamic Stability; Turbulence, Aerodynamics; Turbulent Heat Transfer Compressible Flows, Fluid-structure Interaction.

Design Engineering : Computer Aided Design, Reliability Engineering, Engineering Alternative, Ergonomics, Reverse Engineering, Design and Analysis of Biomedical Devices, Compliant Mechanisms and Smart Instrumentation, Bio-inspired Engineering.

Microbial and Enzyme Engineering : Analysis and design of microbial and enzyme reactors for production of industrially important products such as biofuels, industrial enzymes, biopolymers, organic solvents, biofertilizers and biopesticides etc.; development of bio-sensors for detection of various analytes; Whole cell catalyzed biotransformations. 

Bioseparation and Downstream Processing : Membrane based separation processes, chromatographic separation processes, Membrane processes for water recycle. 

Metabolic engineering : Application of metabolic engineering principles for the development of cell factories for the production of important metabolites including renewable chemicals and therapeutic compounds.

Animal and plant cell culture : Development of cell culture techniques for cultivation of plant and animal cells in specialized reactors for production of therapeutic compounds.

Environmental Biotechnology : The development of reactors and processes for stabilization of organic and industrial wastes; Laccase engineering for treatment of textile effluents; Effect of environmental factors on microbial community dynamics.

Biochemistry and molecular biology : Industrial enzymes, development of recombinant clones for over-production of enzymes and metabolites, development of expression systems in bacteria and yeasts, Human therapeutics production in yeast, bioenergetics and biological molecular machines, Nanoparticle-based drug delivery and protein-based nanodevices, cancer biology, microRNA biology.

Bioinformatics and Genomics : Genome editing with programmable nucleases; analysis and interpretation of next-generation sequencing data; traditional home-medicine and cancer big data analysis.

Biophotonics : Development of fluorescence and optical imaging methods for detection of single molecules to the whole cell. Application of these methods for biosensing of pathogenic microbes and cancer cells.

Agricultural Microbiology : Plant microbe interactions; biocontrol.

Electromicrobiology : Extracellular electron transfer; microbial electrochemistry.

Environmental Engineering : Urban air quality management; indoor air pollution; water and waste water treatment; Emerging water contaminants (Nano particles, Antibiotics); urban water and waste water Management; Non-point source Pollution; Membrane Biological Treatment Process; Modeling, simulation and optimization of Environmental systems; Environmental Impact Assessment; Human Health Risk Assessment; solid waste management; incineration waste-to-energy; circulating fluidized bed operations; Landfill Management; Carbon sequestration; sustainable development (Urban cities/growth centres); Environmental Risk Analysis, GIS and Remote Sensing Applications for Environmental Management. Aerosol characterization, local and regional air quality, climate change and health impact.

Geotechnical Engineering : Soil Mechanics and Foundation Engineering; Rock Mechanics, Rock Engineering and Underground Structures; Rock Dynamics; Geo-environmental Engineering; Landfills; Ash Ponds and Ash Utilization; Geotechnical Re-utilization of waste; Energy Geotechnology; Slope Stability and Dams; Ground Improvement; Geosynthetics; Reinforced Soils; Soil Dynamics and Earthquake Geotechnics; Foundations for Industrial Machines; Site specific response studies; Engineering Geology; Seismic Hazard Analysis and Microzonation; Expansive Soils; Geophysical Methods; Geotechnology for tracks and pavements; Blast and Impact Analysis; Dynamic Behaviour of Tunnels and Slopes; Landslides in Static and Dynamic Conditions; Offshore Geotechnology; Constitutive Modelling; Numerical Methods; Mechanics of granular materials; Post-Geodisaster Reconnaissance Studies; Bioinspired Geotechnics.

Structural Engineering : Analysis and design of structures; tall buildings; bridges; Earthquake engineering; wind engineering; offshore structures; masonry, RCC and steel structures; Construction Management; Construction Technology; Concrete Technology; structural dynamics; structural control; constitutive modeling; computational methods; modeling of damage, plasticity and creep of concrete; durability of concrete; rebar corrosion; modeling of cements; supplementary cementitious materials; use of marble, granite or other waste powder in concrete; composites; high performance concrete; self-compacting concrete; financial analysis; contract administration, quantitative methods in construction management; Infrastructure Project Management Risk and Financial Management; sustainable construction, green building, resilient infrastructure, design management, automation in construction; BIM (Building Information Modeling) in construction projects; structural health monitoring; smart materials and structures; tensegrity structures; biomechanics; engineered bamboo structures; artificial intelligence; damage assessment and strengthening; microstructural modeling; mechanics of composite materials; non-destructive testing and evaluation using ultrasound; subsurface imaging using ultrasonic wave propagation; piezoelectricenergy harvesting; radiation damage; nanomechanics; multiscale modeling; fracture and failure modeling; mechanics of glasses & disordered materials; atomistic modeling, machine learning.

Transportation Engineering : Transport planning; Transport policy; Transportation safety; Construction work zone safety; Heterogeneous traffic flow modeling; Traffic safety and capacity of hill roads; Mass transportation planning; Urban transport infrastructure planning and design; Non-motorized transport planning; Modeling of pedestrian behavior; Activity-travel behavior analysis; Network modeling; Transportation logistics and optimization; Traffic operations; Geometric design of transportation infrastructure; Characterization of pavement materials; Pavement design (flexible and rigid); Damage modeling of bitumen and bituminous mixtures; Constitutive modeling of pavement materials; Recycling of civil infrastructure materials; Rheology of asphaltic materials; Condition assessment of highway infrastructure; Pavement management systems; Highway engineering; Airport infrastructure.

Water Resources Engineering : Hydrology in natural and urban environment; Hydrological modeling and simulation; Stochastic processes; Data mining in hydrology; Flood forecasting and modeling; Snow and glacier hydrology; Snow dynamics; Hydroclimatology; Climate change effects in water resources; Watershed modeling; Large river basin modeling; water resources systems, planning and management; Water allocation; Water resources conflicts; Irrigation management; Flow through porous media; Ground water modeling; Ground water contamination & remediation; Contaminant transport modeling; Leachate pollution; Bioremediation; River water quality modeling; Environmental impact assessment of water resources projects; Surface and subsurface drainage; Hydraulic structures; Sediment transport; Application of numerical methods, CAD,FEM, GIS, and Remote sensing in Water Resources Engineering. Slurry Pipeline, CFD modeling of Multiphase flows, Economic Analysis of water resources projects; Anomalous Hydro Dynamics; Transport Phenomena.   

Catalysis and reactor engineering, Multiphase flow & rectors, Control of reactors, Petroleum refining engineering, Computer Aided Design, Computational fluid dynamics, Microfluidics, Hydrodynamic, instability, Particle technology, Mixing, Fluidization, Distillation and other separation processes, Complex fluids, Interfacial engineering, food, Polymers, Polymer rheology, Membrane synthesis & processes, Biomass, Bioseparations and Bioprocessing, Process operations planning and scheduling, Biosimilars, Quality by design, Protein characterization, Colloids, and interfacial science, Nanotechnology, Biosensors, Renewable energy, Biorenewable Chemicals and Solid Oxide Fuel Cells, Electrochemical process, Hydrogen fuel cells, Lithium-ion batteries, Electrochemical modeling Supercapacitor, Electrochemical energy storage Devices, Flow batteries, Therapeutics, Drug delivery, Waste management, Environmental engineering, Aerosols, Air Pollution, Process systems engineering, Model Predictive control, Process monitoring, Application of machine learning in chemical process modeling and control Structural Bioinformatics, Polymer Informatics, Computational material design, Density Functional Theory and Molecular Dynamics Simulations.

Algorithms and Complexity Theory : Algorithmic graph theory, Computational geometry, Randomized algorithms, Approximation algorithms, Complexity theory, Online algorithms.

Artificial Intelligence (AI) and Machine Learning (ML) : Reinforcement learning and AI planning, Neuro-symbolic ML, Probabilistic graphical models, Statistical relational learning, Extreme classification, Embodied artificial intelligence, Ethical AI, Fairness and reliability in ML, Privacy issues in ML, ML for social networks, ML applications to healthcare, AI for crowd sourcing, Knowledge-based AI, Computational advertising, AI for robotics.

Natural Language Processing (NLP) : Intelligent information systems, Information extraction, Question answering, Dialog systems, Knowledge-base completion, Neural architectures for NLP.

Databases and Data Analytics : Intentionmining,Policydrivendatabases,Informationretrieval,Information dissemination in social networks, Semantic web data management, Opinion mining, Indexing and querying in graph databases, Spatio-temporal data analytics, Data wrangling.

Architecture and Embedded Systems : Hardware-software co-design, Embedded systems design, Reconfigurable computing, Fault-tolerant computing, Hardware implementations, Temperature-aware architectures, Energy-efficient architectures, Design-for-debug, Cache memory, 3D and non-volatile memory, Architectural extensions for mobile security, Architectures for machine learning, Architectures for computer vision, Secure architectures.

Graphics and Vision : Computer graphics, Virtual reality, Computer vision, Digital image and video processing, Mobile multimedia, Embedded computer vision, Robotic vision, Medical image analysis.

Asymmetric synthesis & catalysis, Biochemistry (Enzyme technology, Microbial Biochemistry, Fermentation & Bio-remediation, Cloning & Proteomics), Bio-inorganic chemistry, Bio-organic chemistry, Bio-physical chemistry, Carbohydrate chemistry, Coordination chemistry, Fluorescence Spectroscopy (Ensemble & Single molecule), Nano-materials (Optical Properties & Photovoltaics), Nano-catalysis in ionic liquids, NMR spectroscopy, Organometallic chemistry, Peptide synthesis, Quantum & Classical computer simulation on chemical & biological systems, Solid state chemistry, Supramolecular chemistry (Molecular Organisation & Recognition), Synthetic & Mechanistic organic chemistry, Theoretical Chemistry.

Industrial Design, Product Design, Engineering Design, Computer Aided Design and Manufacturing, Design for Product Life-Cycle, Usability, User Experience, Design for Wellness, Design for Sustainability, Design for Environment, Packaging Design, Visual Narratives, Comics Studies, Design for Children Education, Visual Communication, Healthcare Design, Design of Sustainable Habitats, Data Science and Design, Design of Assistive Technologies, Design for Culture, Design for Industry 4.0.

Circuits, Systems and Devices Engineering : CMOS technology and VLSI design, device modeling, simulation and characterization, device fabrication and reliability, compact modeling and PDKs, nanoelectronics, quantum computing, nanomaterials, nanophotonics, plasmonics, biosensors, fiber-optic and chip based optical sensors, photonic and optoelectronic materials and devices, LEDs and solid state lighting, CMOS image sensors and vision systems, photovoltaics and photodetectors, memory devices and architecture, logic device design, neuromorphic computing and NVRAM technology, machine learning, bio-inspired devices and circuit design, spintronics and micromagnetics, MEMS evices, energy harvesters and piezoelectric devices, low-power analog design, low-cost sensors and flexible electronics, quantum electronics, energy harvesting, measurement and instrumentation, power semiconductor devices, analog and mixed signal circuit design, high speed circuit design, electromagnetics, microfluidics and microplasmas.

Literature, Sociology, Psychology, Linguistics, Philosophy, Economics.

NOTE: Candidates must refer to the Department website ( http://hss.iitd.ac.in/areas ) for details on areas of specialization in which applications will be considered.

Algebra, Cryptography, Numerical Linear Algebra, Number Theory and Combinatorics, Dynamical Systems and Fractals, Topology, Algebraic Topology, Harmonic Analysis, functional Analysis, Operator Theory, Pseudo Differential Operator, Numerical Analysis, Partial and Stochastic Differential Equations, Algorithms and Graph Theory, Machine Translation, Applied Probability, Stochastic Modeling, Queueing Theory, Optimization, Game Theory, Financial Mathematics.

Design Engineering : Mechanical Vibrations, Rotor Dynamics, Damped Structures, Composite Structures, Smart structures, Active Vibration Control, Experimental Modal Analysis & Identification, Structural Dynamic Modification, Finite Element Model Updating, Dynamic Design, Noise Engineering, Condition Monitoring, Bearing Dynamics, Lubrication, Mechanical System Design, Precision Machine Design, Computer Aided Mechanical Design, Computer Controlled Mechanisms, Vehicle Dynamics, Modelling the Impact of Vehicles, Impact Biomechanics, Concurrent Engineering Design, Mechanisms, Robotics (including Medical Robotics), Medical Devices/instruments, Multibody Dynamics, Application of Multibody Dynamics in Design and analysis of Rural Engineering Systems, Computational Mechanics ,Fracture Mechanics, Fatigue & Failure analysis, Experimental solid Mechanics, Mechatronics, Sensors and Actuator Design, MEMS, Design of Microsystems, Nanomechanics, Artificial Intelligence Applications in Mechanical Engineering & Expert Systems for Design & manufacturing and Mechanical Engineering Applications to Medical Science. Public policy and governance, Transportation (Railways , Freight ).

Thermal Engineering : Phenomenological and Multi-dimensional modeling of IC Engines, Fundamental and Applied Combustion, Air Pollution: Characterization and Remediation, Microfluidics, Phase Change, Multiphase Flows, Electrochemical Energy Systems, Fluid-structure Interaction, Bio heat transfer, Rural Energy Systems, Biomass Gasification, Clean Coal Technologies, Solar Cooling, Thermal Comfort, Refrigeration and Air Conditioning System, Computer Simulation and Design of Thermal System, Heat and Mass Transfer Systems, Heat and mass transfer, Porous media Convective drying , Inverse heat transfer, Continuous casting, Pico-hydel power units for rural electrification and production of char using water biomass.

Production Engineering : Metal Cutting, Metal Forming, Welding, Metal Casting, Material Characterization, Non traditional Manufacturing Processes, Measurements & Metrology, Grinding of Ceramics and Metal Matrix Composites, Processing of Polymers & Composites, Injection Molding, Microcellular Injection Molding, Finite Element Applications in Manufacturing, CAD/CAM, Rapid Prototyping, Intelligent Manufacturing, Micro & Nano-Manufacturing, Biomaterials and Medical Implants, Nanocomposites, Modeling of Material Behavior, Lean concepts in Machine Tool Design. Manufacturing Automation, Magnetorheological Finishing.

Industrial Engineering : Quality, Reliability and Maintenance, Lean Manufacturing, Agile Manufacturing Productivity Management, Operations Research, Operations Management, Project Management, Supply Chain Management, Applied Probability Models, Decision Support Systems, Value Engineering, Flexible Systems, Healthcare Systems, Intelligent Manufacturing Systems, e-Business, Reverse Logistics, Financial Engineering, Wireless Systems.

Metals : Structure-property correlation in advanced materials, Fracture and Fatigue, Indentation, nano-scale friction and wear, Material characterization using advanced microscopy, phase transformations, solid-state diffusion controlled reactions, Synthesis and characterization of Metal matrix composites, Light metals and alloys, 3D printed metals and alloys, Auxetic materials, Bulk metallic glasses and composites, functionally graded materials, nanomaterials.

Polymers : Synthesis of polymers, structure-property correlation in polymers, rheology and processing of polymers, polymer matrix composites, tribology and mechanical behaviour of polymers, membranes for various applications, antifouling and antibiofouling materials and membranes, redox polymers, materials for energy storage, separation and purification, organic-inorganic hybrid materials, catalytic materials and nanomaterials for catalysis and environmental applications, 2D materials, graphene, Covalent organic frameworks, biodegradable materials, organically modified mesoporous silica nanoparticles, surface engineering using controlled radical polymerization techniques.

High Temperature Materials : Advanced ceramics, high entropy alloys, materials for extreme environments, thermal barrier coatings, alloy processing and properties, refractory metals and compounds, aluminide bond coats.

Computational Materials Science : Physics-and data-based modeling of materials, First principles based materials design, Molecular modeling of materials, Micromagnetic simulations, Multiscale Simulations, Finite element modeling, Machine learning for materials informatics.

Materials and Condensed Matter Physics : Thin Films, Materials and Devices, Novel Functional Magnetic Materials, Nanomaterials, Lattice Dynamics, Semiconductors and Amorphous Materials, Electronics Ceramics, Quantum Functional Materials, Superconductivity, Nanomagnetism and Spintronics, Spin Dynamics, Charge Carrier Dynamics and Electronic Structure Studies of the Correlated Electron Systems, e.g., Fe-based high-Tc superconductors, Complex oxides, Materials for Nuclear Energy, Spectroscopic imaging, Topological Insulator.

Optics and Photonics : Holography, High Density Data storage, Liquid crystals, Non linear Phase Conjugation, Optical Information Processing, Optical Data Security, Singular Optics, Nonlinear Optics, Nonlinear guided Wave Optics, Solitons, Quantum Optics, Fiber Optics, Integrated Optics, Fiber Optics Sensors and Biosensors, Fiber optics Components, Nanophotonics, Laser Spectroscopy and Applications, Terahertz Spectroscopy and Applications, Ultrafast Dynamics, Laser Processing and Fabrication, Green and Biophotonics, Photonic Metamaterials, Bio-Medical Imaging, Inverse Problems in Imaging, Optoelectronics.

Plasma Physics : Particle Acceleration, Non linear Waves and Instabilities in Plasma, Thermo Nuclear Fusion, Microwaves and Plasma Interaction, Solitons in Plasma, Space Plasmas, Terahertz (THz) Radiation Generation, Hall Thrusters, Interaction of Plasmas with Materials, Laser Plasma Interaction, Particle and Fluid simulations in Plasma.

Computational and Statistical Physics : Mathematical, Statistical Mechanics, and Computational Physics, theoretical Studies in ultra-cold atoms, Cavity Opto-mechanics with ultra-cold atoms, Nuclear Physics, Particle Physics, Ultrafast Optics. Soft Condensed Matter and Biophysics, Ion-atom collision physics, Ion-irradiation of biologically relevant molecules.

Condensed Matter Theory : Designing Energy Materials, Thermal Transport, Electronic Structure, Band Engineering, Clusters and Catalysis, Pyroelectricity, Piezoelectricity, (Anti) ferroelectricity, (Anti) ferromagnetism, Multiferroics, Spin and Lattice Dynamics, Caloric Effects, Non-collinear Magnetism, Genetic Algorithm, Machine Learning, Force Field, Density Functional Theory, Kinetic Monte Carlo, Molecular Dynamics, etc.

Quantum Matters and Information System : Topological classification of semi-metals using experimental and DFT simulations, transport properties of these exotic materials under very low temperature, high magnetic field and high pressures, single crystal Topological Insulator, rare earth based Half Heusler(HH) alloy systems, cold atom based quantum technologies, trapping of cold atoms in optical potentials, controlling the environment induced decoherence, building large scale quantum information processing network, quantum computation protocols for solving industry and society relevant problems, quantum sensing devices and quantum metrology modules for precision instrumentations and measurements, collision of highly charged ions interaction with atoms, molecule of biological interest, clusters and ices of bio-and astrophysical relevance, bio-medical application to estimate the damages to the human DNA/ RNA caused by exposure to ionizingradiation.

Economics : Managerial Economics, International Economics, Productivity and Efficiency Analysis, Business Forecasting, Economic Feasibility & Techno economic Analysis, Sustainable Development, Socio-economic Analysis, Energy Economics, Econometric Methods and Applications, Macroeconomic Theory and Policy, Security and Information Risk, Merger and Acquisitions, Big Data Analytics, Digital Economy, Development Economics, Public Policy, Environmental Economies and Climate Change.

Finance : Financial Analysis and Valuation, Financial Management, International Financial Management, Capital Markets, Derivative Securities, Portfolio Management, Mutual Funds, Banking, Financial Markets and Services, Mergers and Acquisitions, Risk Management, Behavioral Finance, Corporate Governance, Corporate Social Responsibility, Supply chain Finance.

Human Resource Management : Organization Management / Behavior / Development, Business Ethics, Leadership.

Information Systems : Management of Information Technology, Management Information System, Decision Support System, Social Media, Digitization and Smart Cities, Machine Learning, ICTs, Development and Business, Business Analytics, Electronic Commerce, Sharing / platform economy, e-governance.

Marketing : Marketing Management, Industrial and Hi-Tech Marketing, Advertising, Sales promotion.

Operations : Production, Management and Operations research, Sustainable and Big Data Operations, International Manufacturing Network, Enterprise Resources Planning, Project Management, Modeling and Simulation of Operations, Healthcare Operations System Analysis, Total Quality Management, Logistics Management.

Strategy : Management of Technology, Corporate Strategy, Global Competitiveness, Strategic Innovation, Entrepreneurship, Flexible Systems Management, Business Process Re-engineering, Strategic Business Management, Knowledge Management, International Business, Intellectual Property Rights, Strategic Thinking.

Textile Engineering : Design and analysis of yarn and fabric formation systems: rotor spinning, ring spinning, airjet spinning, friction spinning, weaving, knitting, nonwovens, braiding etc.; Structural mechanics of textiles; High stress elastic materials; Apparels and garments; comfort; handle and other functional aspects of fibrous assemblies; Design and development of technical textiles: geo-textile, filter fabrics, medical textiles, protective textiles, textile composites etc.; Systems analysis; Textile production and marketing: operation management and supply chain managements; Textile production and marketing: operation management and supply chain managements; Textile Instrumentation and machine development; Modeling and simulation of textile processes and products; Quality management.

Textile Chemical Technology : Textile chemical processing; preparatory processes; dyeing, printing and finishing, Surface functionalization by plasma and UV excimer lamp; Micro and nano-encapsulation; Conducting textiles; Natural dyes; Bio-active textiles; Textile ecology and environment.

Signal Processing ; Underwater Acoustics, Speech and Audio, General Acoustics, Machine learning, Optimization for Signal Processing, Acoustic Imaging, Multi Sensor Data Fusion, Digital Communications, DSP Algorithms; Microwaves and RF : Active and Reconfigurable Circuits and Antennas, Millimeter Wave and T Hz circuits and sub-systems, Microwave imaging; RF MEMS, Wideband Microwave Circuits, Modeling of Active Devices; Microelectronics : Micro-Electro-Mechanical Systems (MEMS)Technology, Nanoelectronic & Optoelectronic Devices, THz Electronics, Semiconductor Powerdevices. 

Mesoscale Modelling : Numerical Modelling of the Atmosphere, Tropical Meteorology and Indian Monsoon, Land-SurfaceProcessModelling,Land-Atmosphere Interaction, Renewable Energy Meteorology, Renewable energy resource assessment and forecasting.

Ocean Modelling : Ocean Circulation Modelling, Ocean State Simulations and Forecasting, Storm Surges and Inundation, Coastal Ocean Processes, Simulation of Ocean Surface and Internal Waves.

Climate Modelling : Global and Regional Climate Modelling, Climate Dynamics, Climate Variability and Changes, Climate Change Detection; Attribution, Climate Projections, Climate Change Impacts on extreme events, health, agriculture, water resources and energy, Aerosol-Cloud-Climate Interactions.

Air Pollution Modelling : Urban Meteorology, Chemical Transport Modelling, Health Impact Assessment of Air Pollution, Science of Extreme Weather.

EV technologies (Power train, Charger, charging Infrastructure, etc.), Battery for EVs, Battery management system (BMS), Autonomous and connected vehicles, Vehicle Telematics, Tribodynamics, Tribological and Acoustical materials, Surface Engineering, Condition Monitoring and Reliability.

Electrical / Electronic/ Instrumentation Engineering; Mechanical/Manufacturing/Production Engineering; Chemistry/ Biochemistry/Polymer Chemistry/ Material Sciences/ Pharmaceutical Sciences; Chemical Engineering; Mathematics/Physics/Bio-Physics; Computer Science Engineering; Biomedical Engineering; Biotechnology, MBBS/BDS/Homeopathy (B.H.M.S)/Physiotherapy (BPT)) /Veterinary Sciences.

Internal Combustion Engines, Thermal Engineering, Solar Thermal, Power Systems, Power Electronics, Machine Drives, Control System and Devices, Instrumentation and Control, Solar Photovoltaics, Wind Energy, Hydro Power, Plasma Science andTechnology, Nuclear Engineering, Energy Conservation and Management, Bio Energy, Water Resources Engineering,Turbo Machinery, Materials and Metallurgy, Building Design and Energy Management, Computational Fluid Dynamics (Thermal Fluids).

Artisan technologies and rural industries; rural energy system; renewable energy technologies; biogas production and enrichment; biofuels, biofertilizers and biopesticides; biomass production, conversion and utilization; environmental microbiology and bioremediation; algal technologies; natural products processing (food, medicinal, aromatic, and cosmeceutical plants); eco-friendly grain storage systems; agro-food processing, storage and value addition; Food safety and quality measurement, 3D Printing of biological materials; bio-formulation for food preservation and storage; isolation, encapsulation and value addition of bioactives; biomass thermo chemical processing; clean cookstoves; solid and liquid waste management; wastewater treatment; wetland reclamation; clean and sustainable technologies; natural fibre products; environmental impact assessment; tissue culture; medicinal mushroom production technologies; panchagavya–processes, validation and standards; application of block chain technology and nanotechnology in agriculture.

Electronic and optical sensors, Mechatronics, Optical Metrology, Micro optics, Aspheric and freeform optics, optical instrumentation, Holographic microscopy, Digital speckle pattern interferometry, Optical coherence tomography and optical image processing.

Holistic Health and Wellness : All issues pertaining to holistic view of individual’s health and wellness. These include modern scientific research on proven mind-body techniques for physical and mental health, such as Mindfulness, Yoga, Tai-Chi, Qi-Gong, Ayurveda, Holistic nutrition and others. Yogic Neuroscience, Indian Psychology, Cognitive Sciences, Clinical trials on Yoga and Ayurveda, fMRI-based Neuroimaging (fMRI), EEG, MEG, PET, fNIRS.

Leadership for Sustainable Development : Various aspects of holistic and sustainable development. Notions of development which go beyond purely material well-being, and consider other aspects of human/societal well-being such as intellectual, emotional and overall happiness. Notions of development which encompass sustained co-existence among human-beings as well as with nature. How to create leadership (in various walks of life –especially in engineering/technology) for taking forward these alternate views on development.

Inner Development : Understanding first person mental phenomena, especially those pertaining to Meditation, Mindfulness and Contemplation in a rigorous academic framework. Theoretical frameworks for alternative worldview based on deep contemplative insights. Teaching and research on first person mental phenomena through accurate and reproducible observations.

Inner and Outer Harmony through Music and Arts : Classical music, dance and art forms that promote introspection, concentration, various aspects of self-awareness and devotion. Evolution of parallel streams of classical music in India. Development of classical art forms through folk art forms. Societal awareness through classical music. Streams of thought in classical music. Connections between 32ufism32c music and 32ufism. Technology-based analysis and dissemination of music.

Value Education and Technology : Teaching the teachers, tools and techniques for inculcating value education to students, especially at tertiary level of science and engineering. Research on effectiveness of various techniques for value education. Newer models of education. Use of technology for large scale dissemination of knowledge.

Scalable & Dependable Computing, Information Security, Biometrics, Information Storage and Retrieval, Data Analytics, Social Network Analysis, High Speed Networks, Sensor Networks, Mobile and Web Based Computing, Multimedia Systems, Embedded Systems, VLSI Design Automation, Internet of Things, Image Processing, Computer Vision, Robotics and Intelligent Systems, Medical Applications of IT, Computational and Systems Biology, Computational Neuroscience and Neuroimaging, Assistive Technologies, Human Computer Interfaces, Information and Communication Technologies for Development, Data Science for Development, Computational Sustainability, Geographical Information Systems, Blockchain Technologies, Location Based Services, Other areas aligned with school activities.

Telecom Networks,Telecom Software, Wireless Technologies, Optical Networks, Signal Processing,Telecom Systems Design, Planning and Management, Regulatory and Policy Aspects of Telecom Services and Systems, Embedded Telecom Systems, Telecom Network Management, Performance Analysis of Communication System and Resource Management, Wireless Security, Machine learning for wireless communication, Internet of Things.

Artificial Intelligence and related applications (Reasoning under uncertainty, Trustworthy AI, etc.), Machine Learning, Data Mining, Computer Vision and its applications (Medical Imaging, Perception of Mobility, etc.), Deep Learning (Generative Models, Graph Neural Networks, Neuro-symbolic reasoning, etc.), Natural Language Processing and related applications (Machine Translation, Summarization, etc.), Information Retrieval, Data Management, Robotics (planning, learning, human-interaction, embodied systems), Statistical Modeling, Data Science applications: Social Networks, Healthcare, Spatio-temporal data, Knowledge Graphs, etc.

IITD faculty from two or more different Depatments/Centres/Schools define Interdisciplinary Research problems as projects. The student selection is done for specific projects advertised periodically on the School website (sire.iitd.ac.in); the student is supervised by all the concerned faculty.

Not accepting applications in this admission cycle.

Computational Biology, Systems Biology, Chemical Biology, Cellular Biophysics, protein folding & misfolding with focus on infectious diseases and non-communicable disorders, Chaperone assisted protein folding, Molecular biophysics of protein folding, unfolding and conformational properties, Cognitive and computational neuroscience, Viral diseases, Nanoparticle-based targeting, Structural Biology, Diagnostic Virology, Cancer Biology, Plant-based therapeutics, Marine Bioprospecting, insulin signaling and insulin resistant diabetes, Leishmaniasis, ion channel and receptor biology, Host pathogen interaction.

Transportation Planning; Traffic flow modeling and optimization, public transport systems; Sustainable Urban Transport; Travel Behaviour Modeling; Pedestrian Dynamics and Evacuations; Construction Safety and Work Zone Safety; Highway Safety; Vehicle Crash Modeling; Road Traffic Injury Prevention; Human Body Modeling and injury estimation; Pedestrian and non-motorized vehicle safety; Urban Freight, Road accident costing.

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The candidates with the following application numbers have been provisionally selected for the MA Programme in Culture Society Thought for the year 2024-25.

The list appears in no particular order.

The following is a list of candidates (by application numbers) who have been provisionally selected for the HSS PhD Programme for Semester 1 2024-25. The list is not in order of merit.

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• All full-time PhD students provided financial assistance. See below.
• Air-conditioned office space is provided to all PhD students, with a desktop PC. Research students have unrestricted access to all laboratories in the department.
• PhD students often collaborate with researchers within and outside the country. It is common, and regularly encouraged, for students to spend time at collaborating institutions in academia and industry.
• Our students regularly publish research results in leading international conferences and reputed journals.

Applying for PhD Admission

Eligibility.

• M. Tech./M.E. Degree in Computer Science or other Engineering disciplines
• M.Sc. in Maths/Physics/Statistics with a valid GATE score in their subject.

Full-time PhD students are provided accommodation on campus. Married students are provided an apartment (subject to availability) while unmarried students get hostel accommodation. Students and their dependents also have free access to the medical and sporting facilities on campus.

• Identify a supervisor: 3 months
• Complete the course work and clear the Comprehensive Exam: 18 months for full-time PhD students
• Thesis submission: maximum 7 years

Information for new PhD students.

Information for enrolled phd students (internal)..

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New Delhi IIT Delhi Courses & Fees Ph.D (Computer Scien...

Ph.D (Computer Science and Engineering) (Part Time) From IIT Delhi, New Delhi

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Eligibility Criteria

The eligibility criteria for Full Time/ Part Time sponsored / Part Time are mentioned below:-

Master's degree in Engineering /Technology or master's degree in Science / Humanities or equivalent in relevant discipline with CGPA 6.00 on 10 point scale or 60% marks in aggregate for General/OBC / EWS category. Full-time students who do not possess M.Tech. or equivalent degree are required to have a valid GATE/CEED* Score or UGC / CSIR /DBT /ICMR /INSPIRE fellowship examination for Sciences/ Humanities and Social Sciences disciplines.

B.Tech. or equivalent with CGPA of 7.0 on a 10-point scale or 70% aggregate marks and qualified GATE or UGC / CSIR /DBT /ICMR /INSPIRE fellowship examination for Biomedical Engg., candidates having M.B.B.S. with 60% marks or more are eligible provided they have qualified ICMR. The Candidates having a Postgraduate degree of Doctor of Medicine (MD)/ Master in Surgery (MS) with 60% marks or more after MBBS will also be eligible for admission to Ph.D. Program in CBME.

• For the currently registered students in Centrally Funded Technical Institutes (CFTIs) having a CGPA of 8.0 or above (on a 10-point scale) at the end of the 6th semester or later, in B.Tech./ B.E./Integrated M.Tech./Integrated M.Sc. programs (or any other program of minimum four years duration, admission to which is on the basis of JEE), the requirement of GATE / National Examination is waived for consideration of admission the Ph.D. program in IIT Delhi. Moreover, such students must have obtained a CGPA of 8.0 or above at the time of graduation (and before they formally register for the Ph.D. program).
• The requirement of GATE / National Examination is waived for consideration for admission to the Ph.D. program for all graduates of CFTIs with a B.Tech./ B.E./Integrated M.Sc. (or any other program of minimum four years duration, admission to which is on the basis of JEE) with CGPA of 8.0 or above at the time of graduation.
• The Requirement of GATE / National Examination is also waived for MA or M.Sc. graduates from IITs with a CGPA of 8.0 or above.

Mode of Selection – Written test and/or interview

Course Details

Ph.D. (Sponsored) – Tuition Fees (per Semester) – Rs 17500 

Total other charges payable for Ph.D. (with hostel) Rs 35,650, (without hostel) Rs 22,400.

1/3rd of the tuition fee for the student with a family income between Rs 1 lakh to Rs 5 lakh per annum. Other students (other than SC, ST & PwD) whose family income is less than r1 lac per annum will get a 100% tuition fee exemption.

*Medical fees and transport charges are applicable to full-time students only.

The thesis fee for Ph.D. is Rs 5,000/- respectively and shall be payable at the time of submission of the thesis.

All SC, ST & PwD students will get a 100 % tuition fee exemption.

Following are the tuition fees per semester, chargeable from Self-financing foreign National Students including those seeking admission as visiting students :

I) US $1,000 for SAARC Countries.

ii) US $2,000 for other Countries.

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Phd program & requirements.

IIIT Delhi offers PhD programs in six disciplines:

• » Computational Biology (CB)
• » Computer Science and Engineering (CSE)
• » Electronics and Communications Engineering (ECE)
• » Human Centered and Design (HCD) *
• » Mathematics (Maths) please visit -->
• » Social Sciences and Humanities (SSH)

Specific guidelines for these programs and relevant documents and forms are available  here .

The PhD program at IIIT-Delhi is focused towards research like any other PhD program - limited coursework to enhance the breadth and depth of a student, followed by focused research. Some of the key features of this program are:

• » Being a focused program, it allows a motivated and hardworking student to finish in as early as 4 years, subject to fulfilling the degree requirements.
• » Following the best practices in several universities around the world, fresh BTech graduates are encouraged to apply. Neither a master's degree nor GATE is mandatory for the application process.
• » The institute provides attractive compensation – the stipend in the first two years is Rs.31,000 per month; 3rd & 4th year is Rs.35,000 per month.
• » The institute provides support to present papers in national and international conferences.

Minimum Academic Performance Requirements

• The minimum graduating CGPA is 7.5.
• The minimum continuing CGPA is 7.0.
• The minimum CGPA for continuing to get the scholarship component is 7.0.
• His/her CGPA falls below 7.0.
• If he/she in under warning and his/her performance is not improving in his/her academics/research/duties (research or teaching).
• His/her SGPA is 7.0 or below in a first semester.
• The students who are not allowed to continue in the PhD program may be permitted to transfer their registration to the MTech program provided they meet the conditions of continuing in the MTech program.

Per Semester Load Requirements

A normal full time load is 12 to 20 units for all PG students. Students who are on assistantship (and are earning the remuneration portion) shall be given a relaxation of upto 4 units in the normal full time load. A student may be permitted an overload of at most 4 units in a semester, with permission from the PG committee. The students who have completed the stipulated course requirements shall register for the thesis units in multiple of 4 units (i.e. 4, 8, 12 or 16). No overload shall be permitted in the thesis unit registration. Part time students may register for any number of units lesser than the normal full-time load.

Course Work Requirements

• The requirement of the course work for a PhD student is aimed at providing the basic academic preparation to carry out the research, and have sufficient breadth in the area. The minimum course requirement for a PhD student is normally 32 units for students whose highest degree is a BTech (or equivalent), and 16 for those who have an MTech (or equivalent). The PG committee may ask the students with insufficient background to do additional courses (in addition to 32/16 units). For detailed course of requirement refer PG regulations
• In special cases, for students with advance standing by virtue of their academic preparedness and/or by virtue of their professional work experience, some of the course requirements may be waived. All such waivers shall be decided upon by the PG Committee and reported to the Senate.
• The PhD students are expected to finish their course requirements as per the timelines mentioned in PG Regulations.
• Transfer of Credits for Courses done Outside: Students may be permitted to do academic work and courses in places of repute outside IIIT-Delhi. Based on their performance/quantum of work done and the content of the course, the PG committee may consider them equivalent to some course credits, and waive credit requirements for similar courses/projects within IIIT-Delhi. Institutions with which IIIT-Delhi has arrangements/MOU/student exchange programs, transfer of credits may also be permitted. Any such waivers/transfer is permitted only if the courses being considered have not been counted for any other degree/diploma requirement.
• A PhD student may be permitted to replace up to two courses done by him/her and in which he/she has obtained passing, but not good, grade. The replacement will be permitted as and when the request is made by the concerned student. In this case, the earlier course will be listed in the transcript as having been taken on “Audit”. He / She may also be permitted to do extra courses to improve the CGPA. All such permissions shall be granted by the PG committee upon requests from the students.

Teaching Requirements

One of the potential career options for the research students is academics. The PhD program at IIIT-Delhi aims to develop suitable teaching skills among the research students through teaching requirements. Towards this, it requires all students on financial assistantship plan of the Institute are required to take part in the teaching activities. All PhD students must be TA for at least two semesters to satisfy the teaching requirements for a PhD degree. Students on research assistantship will also be required to complete this requirement, though they may be assigned lighter load each semester. The teaching requirement may be waived for part-time and/or sponsored candidates.

Thesis Requirements

• All PhD students irrespective of their entry category are expected to successfully complete a minimum of 56 units by thesis. In truly exceptional cases where the PhD candidate is ready with a thesis before he/she has accumulated these credits, the PG committee can consider waiving off some of these units. For the purpose of grading in the thesis units registered, the progress in the thesis work shall be assessed by the thesis supervisor(s). For each semester, one S (if the performance is satisfactory) or one X (if the performance is not satisfactory) grade shall be awarded by the thesis supervisor(s). The thesis grades shall be submitted by the thesis supervisor(s) at the end of the semester.
• Thesis supervisor and external co-supervisor: The thesis work shall be done under the guidance of the PhD supervisor, who shall be a faculty member of the Institute. There may be multiple supervisors. Normally, a student is expected to decide the supervisor(s) by the start of the second semester but can defer it till the end of second semester .This will be done by informing the PG Committee through a form, which shall be signed by the supervisor(s). A student can change the supervisor later – for this a formal request will have to be submitted to PG Committee and has to be signed by the old as well as the new supervisor. A student may also have external co-supervisors for the thesis. Such external co-supervisor shall be approved by the PG Committee upon a request by the student, duly approved and forwarded by the supervisor(s). The request must be accompanied by the CV/Bio or sufficient information about the proposed external co-supervisor which will allow the PGC to evaluate the suitability. Normally, the external co-supervisor should be finalized before the comprehensive and the PGC should be informed by the adviser and the student about the same.
• Thesis evaluation and defense: All PhD theses will be evaluated by a panel of thesis examiners who are experts in that area, and the candidate will have to defend the thesis in front of this panel. The panel will consist of supervisor(s) of the student, and a minimum of three non-supervisor examiners, at most one of which can be from within the Institute. A thesis defense date will be fixed, after taking inputs from all examiners on the panel. The defense shall be open to all. At the end of the defense, the panel will deliberate and make an overall recommendation.

* Note : Eligibility criteria and other details for HCD will be updated shortly.

List of Provisionally Selected Candidates PhD Admission for Sem I, 2019-2020

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Ph.d. program & requirements, computational biology (cb), computer science and engineering (cse), electronics and communications engineering (ece), human centered and design (hcd), mathematics (maths), social sciences and humanities (ssh).

The Ph.D. program at IIIT-Delhi is focused towards research like any other Ph.D. program - limited coursework to enhance the breadth and depth of a student, followed by focused research. Some of the key features of this program are:

• Being a focused program, it allows a motivated and hardworking student to finish in as early as 4 years, subject to fulfilling the degree requirements.
• Following the best practices in several universities around the world, fresh BTech graduates are encouraged to apply. Neither a master's degree nor GATE is mandatory for the application process.
• The institute provides attractive compensation – the stipend in the first two years is Rs.31,000 per month; 3rd & 4th year is Rs.35,000 per month; the 5th year fellowship is 30,000 per month.
• The institute provides attractive compensation – the stipend is Rs. 37,000 + HRA as per DST rates per month until successfully completing the comprehensive exam and Rs.42,000 + HRA as per DST rates per month since completing comprehensive exam until completion of 5th year
• The institute provides support to present papers in national and international conferences.

Minimum Academic Performance Requirements

• The minimum graduating CGPA is 7.5.
• The minimum continuing CGPA is 7.0.
• The minimum CGPA for continuing to get the scholarship component is 7.0.
• His/her CGPA falls below 7.0.
• If he/she in under warning and his/her performance is not improving in his/her academics/research/duties (research or teaching).
• His/her SGPA is 7.0 or below in a first semester.
• The students who are not allowed to continue in the Ph.D. program may be permitted to transfer their registration to the MTech program provided they meet the conditions of continuing in the MTech program.

Per Semester Load Requirements

A normal full time load is 12 to 20 units for all PG students. Students who are on assistantship (and are earning the remuneration portion) shall be given a relaxation of upto 4 units in the normal full time load. A student may be permitted an overload of at most 4 units in a semester, with permission from the PG committee. The students who have completed the stipulated course requirements shall register for the thesis units in multiple of 4 units (i.e. 4, 8, 12 or 16). No overload shall be permitted in the thesis unit registration. Part time students may register for any number of units lesser than the normal full-time load.

Course Work Requirements

• The requirement of the course work for a Ph.D. student is aimed at providing the basic academic preparation to carry out the research, and have sufficient breadth in the area. The minimum course requirement for a Ph.D. student is normally 32 units for students whose highest degree is a B.Tech. (or equivalent), and 16 for those who have an MTech (or equivalent). The PG committee may ask the students with insufficient background to do additional courses (in addition to 32/16 units). For detailed course of requirement refer PG Regulations Here.
• In special cases, for students with advance standing by virtue of their academic preparedness and/or by virtue of their professional work experience, some of the course requirements may be waived. All such waivers shall be decided upon by the PG Committee and reported to the Senate.
• The Ph.D. students are expected to finish their course requirements as per the timelines mentioned in PG Regulations Here.
• Transfer of Credits for Courses done Outside: Students may be permitted to do academic work and courses in places of repute outside IIIT-Delhi. Based on their performance/quantum of work done and the content of the course, the PG committee may consider them equivalent to some course credits, and waive credit requirements for similar courses/projects within IIIT-Delhi. Institutions with which IIIT-Delhi has arrangements/MOU/student exchange programs, transfer of credits may also be permitted. Any such waivers/transfer is permitted only if the courses being considered have not been counted for any other degree/diploma requirement.
• A Ph.D. student may be permitted to replace up to two courses done by him/her and in which he/she has obtained passing, but not good, grade. The replacement will be permitted as and when the request is made by the concerned student. In this case, the earlier course will be listed in the transcript as having been taken on “Audit”. He / She may also be permitted to do extra courses to improve the CGPA. All such permissions shall be granted by the PG committee upon requests from the students.

Teaching Requirements

One of the potential career options for the research students is academics. The Ph.D. program at IIIT-Delhi aims to develop suitable teaching skills among the research students through teaching requirements. Towards this, it requires all students on financial assistantship plan of the Institute are required to take part in the teaching activities. All Ph.D. students must be TA for at least two semesters to satisfy the teaching requirements for a Ph.D. degree. Students on research assistantship will also be required to complete this requirement, though they may be assigned lighter load each semester. The teaching requirement may be waived for part-time and/or sponsored candidates.

Thesis Requirements

All Ph.D. students irrespective of their entry category are expected to successfully complete a minimum of 56 units by thesis. In truly exceptional cases where the Ph.D. candidate is ready with a thesis before he/she has accumulated these credits, the PG committee can consider waiving off some of these units. For the purpose of grading in the thesis units registered, the progress in the thesis work shall be assessed by the thesis supervisor(s). For each semester, one S (if the performance is satisfactory) or one X (if the performance is not satisfactory) grade shall be awarded by the thesis supervisor(s). The thesis grades shall be submitted by the thesis supervisor(s) at the end of the semester.

Thesis supervisor and external co-supervisor

The thesis work shall be done under the guidance of the Ph.D. supervisor, who shall be a faculty member of the Institute. There may be multiple supervisors. Normally, a student is expected to decide the supervisor(s) by the start of the second semester but can defer it till the end of second semester .This will be done by informing the PG Committee through a form, which shall be signed by the supervisor(s). A student can change the supervisor later – for this a formal request will have to be submitted to PG Committee and has to be signed by the old as well as the new supervisor. A student may also have external co-supervisors for the thesis. Such external co-supervisor shall be approved by the PG Committee upon a request by the student, duly approved and forwarded by the supervisor(s). The request must be accompanied by the CV/Bio or sufficient information about the proposed external co-supervisor which will allow the PGC to evaluate the suitability. Normally, the external co-supervisor should be finalized before the comprehensive and the PGC should be informed by the adviser and the student about the same.

Thesis evaluation and defense

All Ph.D. theses will be evaluated by a panel of thesis examiners who are experts in that area, and the candidate will have to defend the thesis in front of this panel. The panel will consist of supervisor(s) of the student, and a minimum of three non-supervisor examiners, at most one of which can be from within the Institute. A thesis defense date will be fixed, after taking inputs from all examiners on the panel. The defense shall be open to all. At the end of the defense, the panel will deliberate and make an overall recommendation.

Last updated: 2024-03-07 02:29:pm

Last updated: 07-03-2024

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Microsoft Research India PhD Award 2024

Region: Asia-Pacific

Microsoft Research (MSR) India carries out cutting-edge projects in topics like algorithms and theory, machine learning & artificial intelligence, systems & networking, human-computer interaction, technology for social good, among others shared here: Microsoft Research Lab – India – Microsoft Research . Our efforts lead to significant scientific advances, technology that is in the hands of millions of users, and meaningful societal impact.

The MSR India PhD Award aims to recognize outstanding graduate students in areas of interest to our lab. More broadly, this award seeks to foster the pipeline of talent receiving advanced degrees in computing-centric fields, thereby building a strong research community in India. Benefits for this award include a one-time unrestricted grant of ₹10 lakhs, which can be used for augmenting stipends, in addition to covering conference travel, purchasing computing equipment, and other activities promoting academic and professional growth. Where appropriate, the awardee may be assigned a co-mentor from Microsoft Research India and presented opportunities for internships and collaborative projects with our lab.

Based on a rigorous review process, we are pleased to select the below students for the award. We wish the awardees well and look forward to the great work they will do as they make progress on their PhD.

Abhilash Nandy, Indian Institute of Technology, Kharagpur

Abhishek Rose, Indian Institute of Technology, Delhi

Ashwin Kumar, Indian Institute of Technology, Bombay

Neha Jawalkar, Indian Institute of Science

Prashant Kodali, International Institute of Information Technology, Hyderabad

Sai Srinivas Kancheti, Indian Institute of Technology, Hyderabad

Sruthi Gorantla, Indian Institute of Science

Tahir Javed, Indian Institute of Technology, Madras

Vatsala Sharma, Indian Institute of Technology, Bombay

Zeel Patel, Indian Institute of Technology, Gandhinagar

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ISRO Chief Gets His PhD From IIT-Madras: "A Village Boy's Dream Fulfilled"

Isro chief dr s somanath received his graduate degree in mechanical engineering from thangal kunju musaliar college of engineering, in kollam, and his master's from iisc bengaluru.

Dr S Somanath receives his doctorate degree at the IIT-Madras convocation ceremony

He was beaming when Vikram Lander of the historic Chandrayaan-3 mission touched down on the moon's surface on August 23 last year. But his smile was brighter when he received his PhD degree at the 61st Convocation of IIT-Madras today

S Somanath, an aerospace engineer and chairman of the Indian Space Research Organisation, is now 'Dr' Somanath. Somanath in Sanskrit means 'Lord of the Moon' and the ISRO chief, who led India's big mission to the moon, is now over the moon after his doctorate.

Dr Somanath already had nearly a dozen honorary PhDs, thanks to his work as lead developer for India's heavy launcher, the Launch Mark Vehicle Mark-3, and his role in successfully spearheading the feather-like touchdown of the Vikram lander nearer the South Pole of the moon. But earning a PhD through research is a different ball game and a bigger cause for celebration.

After receiving his doctorate, Dr Somanath said getting the degree from a prestigious institution like IIT-Madras is a "great honour". "As a village boy, even though I was a topper, I did not have the courage to take the entrance exam of IIT. But I had a dream that one day I would graduate from here. I got my Master's degree from the illustrious Indian Institute of Science, Bengaluru and now the PhD has been awarded by the IIT-Madras," he said.

Speaking to NDTV, Dr Somanath said, "PhD is always difficult, especially from a reputed institution like IIT-Madras. It has been a long journey. I registered many years back, but the research subject was very close to my heart. It was related to vibration isolators, which I started as an engineer in an ISRO project decades ago. The topic remained alive in my mind, and I worked on it for so many years."

"I must tell you that this PhD is a result of my last 35 years of work plus the effort taken in the last phase of work in converting that work into this PhD and publishing papers, attending seminars, and then defending it. You are seeing only the last phase, but it is a long journey," he said.

The top scientist said that even during his stint as director of the Vikram Sarabhai Space Center (VSSC), he did not pay attention to this goal. "But then I felt that I must pay attention to all such passions that I have in my life, and I must try to fulfill them."

Dr Somanath did his schooling from St. Augustine's High School at Aroor in Kerala's Allapuzha district before moving to Maharaja's College, Ernakulam. He received his graduate degree in mechanical engineering from Thangal Kunju Musaliar College of Engineering, in Kollam. He joined ISRO in 1985 and rose to become its chairman.

His bio-sketch at ISRO says that as Secretary of DoS, he piloted the National Space Policy, facilitated IN-SPACe activation, engagement of ISRO with NGPE and start-ups in space sector and enabled NSIL to aggregate user demands, take up commercial activities, including Launch vehicle production and spacecraft operations.

Chandrayaan-3 landing near the South Pole of Moon was a great success under his leadership. The Aditya-L1, XpoSat, INSAT-3DS, NVS-01, Oceansat, GSAT-24 and commercial PSLV & LVM3-OneWeb missions are some of the recent successes. Under his leadership Small Satellite Launch Vehicle (SSLV) and Test Vehicle (TV) were developed and landing experiments of the Re-usable Launch Vehicle (RLV-LEX) was accomplished.

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He is now playing a crucial role in the architecture of the Gaganyaan programme for sending Indians to space and achieved the first Test vehicle flight for mission abort demonstration. Currently, he is focused on the Space Vision-2047 missions that include Gaganyaan, Chandrayaan-series and other exploration missions, Bharatiya Antariksha Station development and human mission to Moon.

According to IIT-Madras, about 2,636 scholars were awarded their degrees at the convocation this year and this includes graduate students who got BTech degrees. Nobel Laureate Prof Brian K Kobilka was the chief guest at the occasion.

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