Admission - Doctoral Programme (PhD)
The Department of Management Studies has a full-fledged PhD programme in Management. With its liberal multidisciplinary approach, the department provides excellent ambience for research amidst the world class infrastructure at IIT Delhi. The research areas are broadly classified into the following areas: Economics; Finance & Accounting; Information Technology & Systems; Marketing; Operations, and Supply Chain Management; and Strategy, and Technology Management.
Specific research and teaching interests of the department include:
You may like to visit the web pages of the faculty members to learn more about the ongoing research. Please click this http://dms.iitd.ac.in/all-faculty-members/
Foreign Nationals:
Foreign nationals, click here for more details. Please feel free to contact for further details: Mr. Alan V Sinate Deputy Registrar (Academics) Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-11-2659 1737 (O) Email: [email protected]
Admission: Normally, Ph.D. programmes are advertised in the month of March and October each year, and admissions are carried out in the months of May and December. Further, admission to the Ph.D programme is possible any time of the year with the application being processed and candidates interviewed by the respective DRC/CRC/SRC. Ph.D. scholars can join the Institute at any time of the year, though the course registration will be possible only at the beginning of the subsequent semester. Such candidates must also fulfill the required academic qualification/ experience at the time of interview. They must join the Institute within 4 weeks after the issue of admission offer unless specifically permitted otherwise. Admission is subject to the vacancy being available in the relevant specializations.
Eligibility Criteria: Applicants are requested to check the eligibility criteria published in the latest Information Brochure given in the IIT Delhi website. IIT Delhi Home page – Admission – PG Admission.As per the IIT Delhi norms, the applicants are expected to fulfill the following eligibility criteria:
Note: This information is extracted from the Information Brochure Ist Semester 2020-2021. Please see the respective brochure for each admission cycle. The department research committee is the authority that takes decisions regarding finalization of shortlisting and evaluation criteria for each admission cycle.
Part-time candidates: 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. 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 off.
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). You 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).
Short listing Criteria: After receipt of the applications, the department shall apply additional criteria, also called as short listing criteria to select candidates to be called for a written test and personal interview at the department. These criteria are likely to change in every cycle and shall be published in the department website. The short listing criteria shall be published in the department website, at least two weeks before the interview date.
General & OBC Categories:
- For all candidates (Full Time and Part Time PhD): 1st division (minimum 60% marks) or equivalent grade score (GPA) on a 10 point scale, in master’s degree/ CA/CS/ICWA .
- For candidates having only B.Tech/B.E. degree: 75% marks or equivalent grade score (GPA) on a 10 point scale
- For Part-Time and Full-Time sponsored candidates: A mandatory minimum experience of 8 years as on date of registration.
- For Full Time PhD with assistantship: A GATE score >= 300 or Fellowship from any one of the following national exams: UGC (Lectureship or Research Fellowship), CSIR, ICAR, ICMR, DST and INSPIRE. This is not required for those having: i) M.Tech / ME /MBBS or equivalent degrees, or ii) M.A./ M.Sc. from IITs graduating with a CGPA of 8.0 or above, or iii) B.E./B. Tech./Integrated M.Sc. from IITs/CFTIs graduating with a CGPA of 8.0 or above, or iv) MBA degree from IITs or IISc where admission was through JMET.
- Requirement of qualification in GATE / National Exam is waived for the following categories of applicants: i) Currently registered students in Centrally Funded Technical Institutes (CFTIs) pursuing B. Tech./B.E./ Integrated M. Tech/ Integrated M. Sc. programmes, who have completed 6 semesters or more, and have CGPA of 8.000 or above (on a 10 point scale). Such students must obtain a CGPA of 8.000 or above at the time of graduation, and before they formally register for the Ph.D. programme (80% aggregate marks, if marks is the primary mode of evaluation) ii) Graduates of CFTIs (in the programmes marked under (i)) with a final graduation CGPA of more than 8.000 (80% aggregate marks, if marks is the primary mode of evaluation) iii) M.A or M.Sc. graduates from IITs with CGPA 8.000 or above
SC/ST/PH Categories:
- For all candidates (Full Time and Part Time PhD): 55% marks or equivalent grade score (GPA) on a 10 point scale, in master’s degree/ CA/CS/ICWA.
- For candidates having only B.Tech/B.E. degree: 70% marks or equivalent grade score (GPA) on a 10 point scale
- For Full Time PhD with assistantship: A GATE score >= 200 or Fellowship from any one of the following national exams: UGC (Lectureship or Research Fellowship), CSIR, ICAR, ICMR, DST, and INSPIRE. This is not required for those having: i) M.Tech / ME /MBBS or equivalent degrees, or ii) M.A./ M.Sc. from IITs graduating with a CGPA of 8.0 or above or iii) B.E./B. Tech./Integrated M.Sc. from IITs/CFTIs graduating with a CGPA of 8.0 or above, or iv) MBA degree from IITs or IISc where admission was through JMET.
- Requirement of qualification in GATE / National Exam is waived for the following categories of applicants: i) Currently registered students in Centrally Funded Technical Institutes (CFTIs) pursuing B. Tech./B.E./ Integrated M. Tech/ Integrated M. Sc. programmes, who have completed 6 semesters or more, and have CGPA of 8.000 or above (on a 10 point scale). Such students must obtain a CGPA of 8.000 or above at the time of graduation, and before they formally register for the Ph.D. programme (80% aggregate marks, if marks is the primary mode of evaluation) ii) Graduates of CFTIs (in the programmes marked under (i)) with a final graduation CGPA of more than 8.000 (80% aggregate marks, if marks is the primary mode of evaluation) iii) M.A or M.Sc. graduates from IITs with CGPA 8.000 or above.
Written test & Personal Interview: The written test and personal interview will be conducted on the same day. Candidates who are shortlisted for the written test and interview process will have to appear for both. Both the written test and interview will examine the candidates’ communication skills – oral & written, academic disposition, aptitude for management research, and research co-curricular activities. The written test will attempt to assess the subject knowledge in the respective areas of specialization in management and written communication skills of the candidates. The candidates must prepare accordingly. The written test shall be of sixty minutes duration and will contain descriptive-type questions. Note: Please do not ask for the previous year’s test papers as they could be completely different in every cycle.
Results: The list of provisionally selected candidates shall be displayed in the department notice and will be uploaded in the department website.
Programme Structure: The doctoral programme broadly consists of the following stages:
- Completion of Coursework Requirement – You are expected to complete certain number of credits / advanced level courses (Students with MTech / MBA / MPhil / Equivalent – 9 Credits; Students with B. Tech / Other Master’s Degree – 18 credits) related to your area of research. A course of one credit means fourteen hours of classes, with one hour per week. Normally courses are of three credits. Your thesis supervisor shall advise the same.
- Comprehensive Written & Oral Exam – After completion of course work, you will need to clear comprehensive written & oral exam to undertake independent research.
- Presentation of Research Proposal – Presentation shall be done in front of a committee and the institute.
- Research work – Undertaking of research work as proposed.
- Presentation &Submission of Synopsis -Post research work, you will present the findings / contributions in front of a committee and the institute.
- Final Submission of the thesis – Submission of hardcopy of the thesis for internal and external evaluation.
- Thesis Defense – Open defense of thesis in front of the external examiner and the institute.
- The presentation of research proposal should be completed within 18 months and 24 months from the date of registration for full-time and part-time doctoral students respectively.
- The student is allowed to submit his/her thesis when two articles are published in peer-reviewed journals (or accepted for publication in journal). The student is required to do original work and contribute to the body of knowledge in his/her respective area. The thesis submitted will be evaluated by two examiners (one within India and other outside India). Favorable comments and approvals from the examiners are mandatory for the students to defend his/her thesis publicly.
Programme Duration: The duration of the programme is 4 years with an option of finishing in 3 years. The maximum duration of the programme is 7 years.
Financial Aid: 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 are considered for the award of Half Time Teaching/Research Assistantship. These rates have been significantly enhanced by the MHRD recently and are as indicated below:
Classes: The classes shall be held as per the schedules announced by the department. The classes are held only in weekdays, Mon-Fri. and are conducted during the day and in the evening. There is no concession / exemption of part -time students from attending the classes. You may need to attend the classes during the day. If a course is of one credit, then you will have fourteen weeks of classes, with one hour class / week. The fourteen weeks shall be spread across the semester. The time table in terms of classes and exams are uniform for the MBA, PhD and UG programmes.
Fee: Please refer the Information Brochure for details on the fees.
Other details: Information Brochure: IIT Delhi Home page – Admission – PG Admission ( click here )
Administration / Hostel during interview / Online application related problems:
Mr. Alok Malik Department of Management Studies Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-011-26596782 (O) Email: [email protected] , [email protected]
Mr. Alan V Sinate Deputy Registrar (Academics) Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-11-2659 1737 (O) Email:drpgsr[at]admin.iitd.ac.in Email: [email protected] ( Click Here )
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Doctoral Programme (PhD)
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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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NRCVEE - National Resource Centre for Value Education in Engineering
Indian Institute of Technology, Delhi
NRCVEE PhD program
NRCVEE has a vibrant PhD program which offers full-time as well as part-time PhD research opportunities in a wide range of research areas. The PhD program focuses on understanding what it means to be a human being from a multidisciplinary perspective involving wellness, neuroscience, classical music and arts, Yogic psychology, consciousness and inner development, value education, sustainability, to name a few. One of the major highlights of the PhD program is that it renders PhD candidates an adequate time duration to connect with prospective PhD guides/supervisors, subsequently explore and finalize upon common research area/interest. A full-time PhD candidate receives 18-month time duration to finalize a research topic. Whilst, a part-time PhD candidate gets two years to finalize a research topic.
Besides PhD research, full-time candidates have the opportunity to expand their horizons through a number of academic and extra-curricular engagements. These involve mandatory participation in NRCVEE Journal Club and voluntary participation in IIT Delhi wellness club activities.
The NRCVEE Journal Club was started in the year 2021. The Journal Club meetings are held once a week where PhD students, post-doctoral fellows, faculty members and experts present talks/lectures on research topics relevant to NRCVEE. This promotes academic and research related discussions and interactions within NRCVEE. Click here for a list of Journal Club talks.
Please contact with Head NRCVEE for further details regarding the PhD program.
Eligibility requirements
Minimum eligibility criteria for admission.
Master degree in Engineering/Technology or master 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. OR 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 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. Programme in CBME. • For the currently registered students in Centrally Funded Technical Institutes (CFTIs) having CGPA of 8.0 or above (on a 10 point scale) at the end of 6th semester or later, in B.Tech./ B.E./Integrated M.Tech./Integrated M.Sc. programmes (or any other programme 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. programme in IIT Delhi. Moreover, such students must have obtained CGPA of 8.0 or above at the time of graduation (and before they formally register for the Ph.D. programme). • The requirement of GATE /National Examination is waived for consideration for admission to the Ph.D. programme for all graduates of CFTIs with a B.Tech./ B.E./Integrated M.Sc. (or any other programme 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. graduated from IITs with CGPA 8.0 or above
Selection basis – Written test and/or interview
At the outset, it is stated that the selection process highlighted below is tentative and liable to change. Hence, the prospective PhD candidates are requested to refer to the Information Brochure for admission to PhD. In case of further queries, please contact Head NRCVEE .
The tentative selection process is as follows – The prospective candidates will be required to register themselves on the IIT Delhi admission portal. The shortlisted candidates will be informed through email and asked to submit a 3-4 pages research proposal outlining their proposed research at NRCVEE along with their detailed CV. The candidates will be shortlisted based on their CV and the quality and relevance of their submitted research proposals. The shortlisted candidates will be informed about the final interview dates. The candidates will be asked questions related to their research proposals and NRCVEE areas of research. The shortlisted candidates will be informed through email about their selection.
Information brochure Semester 1, 2022 – 2023 for admission to PhD
NRCVEE research areas for PhD candidates
NRCVEE offers PhD program in the areas listed below. The candidates are evaluated on a 4-5 page research proposal that they are required to submit after they get shortlisted in the first round. If their proposals get shostlisted, then the final round consists of a technical interview with experts.
1. Holistic health and wellness
All issues pertaining to the 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
2. Leadership for sustainable development
Various aspects of holistic and sustainable development, Notions of development which go beyond 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.
3. Inner development
Understanding first person mental phenomenon, 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.
4. Inner and outer harmony through music and arts
Classical music, dance and art forms that promote introspection, concentrations; 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 Sufism, music and values; Technology-based analysis and dissemination of music
5.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
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The curricula of the department aligned with its academic vision aim to cultivate critical and innovative thinking and impart training required to carry out highest level of multi- disciplinary research.
The PhD program consists of both full time and part time students. Currently, the department houses almost 200 research scholars. The HUSS department at IIT Delhi has over the years become a highly attractive place for pursuing doctoral studies as it provides outstanding academic training, both in teaching and research, to students.
Please check http://hss.iitd.ac.in/areas for up to date list of areas in PhD program.
FAQs about PhD Admission
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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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PhD Courses
IIT Delhi PhD Programs Offered in following Departments, Schools & Centers –
Departments
- Mathematics
- Applied Mechanics
- Biochemical Engineering & Biotechnology
- Chemical Engineering
- Civil Engineering
- Computer Science & Engineering
- Electrical Engineering
- Energy Science and Engineering
- Humanities & Social Sciences (Not accepting application for this cycle)
- Management Studies
- Material Science and Engineering
- Mechanical Engineering
- Textile & Fibre Engineering
- Centre for Applied Research in Electronics
- Centre for Atmospheric Sciences
- Centre for Automatic Research and Tribology
- Centre for Biomedical Engineering
- Centre for Rural Development and Technology
- Centre for Sensors, Instrumentation and Cyber-physical Systems Engineering
- National Resource Centre for Value Education in Engineering
- Transportation Research & Injury Prevention Centre
- Optics & Photonics Centre
- Amar Nath and Shashi Khosla School of Information Technology
- Bharti School of Telecommunication Technology and Management
- Kusuma School of Biological Sciences
- School of Interdisciplinary Research
- School of Artificial Intelligence
- School of Public Policy
PhD Admission 2024-25 Semester-II
Important dates.
- Submission of online application commences on: October 07, 2024 (12:00 noon)
- Last date for submission of online application and application fee (Extended): November 04, 2024 (04:00 pm)
- Range of dates for Test / Interview: December 09 – December 16, 2024
- Date of Orientation and Registration for new students: January 01, 2025
- Commencement of classes: January 02, 2025
Important Links
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- Information Brochure 2024-25 Semester-II
- Application Form
- IIT Delhi Website
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Nov 4, 2024 · Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-11-2659 1737 (O) Email: [email protected]. Admission: Normally, Ph.D. programmes are advertised in the month of March and October each year, and admissions are carried out in the months of May and December. Further, admission to the Ph.D programme is possible ...
Alan V. Sinate Deputy Registrar (Academics) Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-11-2659 1737 (O) Email:drpgsr[at]admin.iitd.ac.in
Table 1 defines the minimum qualifications required for admission to full-time Ph. D. programmes at IIT Delhi. Please note: These are Institute minimum requirements and any Department/Centre/School operating through their DRC/CRC/SRC can specify higher short-listing criteria than what is specified here.
IIT Delhi PhD Eligibility & Selection . Aspirants seeking admission to IIT Delhi Ph.D. programs must have first class (60% or 6.0 CGPA) in all examinations starting from 10+2 up to the qualifying exam and should also meet the following eligibility and selection criteria in case of full-time PhD admissions:
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.
NRCVEE has a vibrant PhD program which offers full-time as well as part-time PhD research opportunities in a wide range of research areas. The PhD program focuses on understanding what it means to be a human being from a multidisciplinary perspective involving wellness, neuroscience, classical music and arts, Yogic psychology, consciousness and inner development, value education ...
9. IIT Delhi, as a part of its Institution of Eminence (IoE) initiatives, is moving rapidly to welcome meritorious candidates for pursuing Ph.D. from other countries. As part of this, International students wanting to pursue PhD degree at IIT Delhi (who are not availing a scholarship from any other source) are entitled to a merit-based
The PhD program consists of both full time and part time students. Currently, the department houses almost 200 research scholars. The HUSS department at IIT Delhi has over the years become a highly attractive place for pursuing doctoral studies as it provides outstanding academic training, both in teaching and research, to students.
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.
Institute Name: Indian Institute of Technology, Delhi: Also Known As: IIT Delhi or IITD: Institute Type: Government: Founded: 1961: Location: New Delhi, Delhi: Courses