NIT Uttarakhand PhD Admission 2025-26 Odd Semester

National Institute of Technology Uttarakhand (NITUK) invites applications for PhD admission 2025-26 Odd Semester.

Department-wise areas of Research for admission

Civil Engg.

1. Structural Engineering, Advanced Materials, and Advanced Concrete / Technology.
2. Geotechnical Engineering, Soil & Rock Slope Stability, and Computational Geomechanics.
3. Transportation Engineering, Pavement Materials, and Pavement maintenance and evaluation.
4. Structural Engineering, Earthquake Resistant Design of Structures, and Structural Health Monitoring.
5. Geotechnical Engineering, Engineering behavior of rock masses, and Computational Geomechanics.
6. Structural engineering, Earthquake Structural Analysis, and Life Cycle Assessment.
7. Geotechnical Engineering, Engineering Behavior of Rock and Computational Geomechanics.
8. Groundwater Contamination in unsaturated porous medium and flow modeling, Environmental Hydraulics and Pollution Management, Groundwater Hydraulics.
9. Structural engineering, Concrete and Construction materials, Application of AI-ML in structural and construction engg.
10. Transportation Engineering, Traffic Engineering and Traffic Safety.
11. Transportation Engineering, Geospatial Techniques and Transportation Planning and Safety.

Computer Science & Engg.

1. Machine Learning
2. Cryptographic Security
3. Medical Imaging
4. Cyber Security
5. Network Security

Electrical Engg.

1. Power System Reliability & Failure Analysis, Power System Restructuring /Deregulation, Distributed Energy Resources and Smart Grid, Smart Distribution System Modeling and Simulation and Distributed Resources Optimization.
2. Control Scheme for Various Applications in Power System and Power Electronics, Control Schemes for EV and charging stations, Fractional order control and antiwindup technique.
3. Challenges associated with EV penetration, Microgrid Mangement, Power System Planning.
4. Power Electronics & Drives, Renewable Energy System, Electric Vehicle & Charging stations.
5. Single-Phase and Three-Phase Microgrids, Water Pumping System, Application of Power Electronics into Electric Vehicle and BESS.
6. Grid Tied Renewable Energy Sources, DC-DC Converter Topologies, Electric Vehicle Charging Stations.
7. Electric Drives, DC Microgrid, Power Electronics and Electric Vehicle.
8. Deregulated power systems, Power system analysis, Power distribution systems, Power pricing, Cooperative game theory, and Multi-Criteria Decision Making.
9. Autonomous vehicles, Electric vehicles, Renewable energy and power electronics.
10. Application of IoT, Machine Learning and Artificial Intelligence in Smart Grids, Power System Reliability, Renewable energy systems and battery management systems for electric vehicles.

Electronics Engg.

1. Biomedical Signal and Image Processing, Speech Signal Processing, Signal Processing and AI/DL/ML Algorithms for Communications and VLSI Design.
2. Signal Processing, Robust Control, Robotics and Computer Vision.
3. Optical Communication and Sensors, Optoelectronics Devices & Interconnects, AI/ML based sensors.
4. Planar Antennas, THz mmwave Applications, Remote Sensing.
5. Novel MOS based Device -circuit Co-design for 5G/6G communication, Spin based memory design for in-compute logics, Design and implementation of A/D Convertors for health-care applications.
6. VLSI and Microelectronics, 3D ICs, Low Power Circuit Design.
7. Microelectronics & VLSI Design: Modeling and Simulation of CMOS Nanoscale Device, Thermal Analysis of Semiconductor Devices, AI & ML based Nanoscale Device Modeling.
8. Circularly Polarized Patch Antennas, Beamforming Antennas, THz Antennas.

Mechanical Engg.

1. Computer-Aided Design (CAD) and Additive Manufacturing (3D Printing).
2. Renewable energy technologies, Biomass gasification, Alternative fuels, Combustion, heat transfer, Smart materials and Composite materials.
3. Advanced Machining and Joining Processes, Welding, Simulation of Manufacturing Processes, Materials Processing, Thermoplastic Composites (Extrusion).
4. Processing and characterization of composite materials, Application of AI and ML in composite materials, Role of materials in product design.
5. Renewable energy-based Bio-hydrogen generation, Alternative fuels, Battery storage, material and Energy management, Renewable energy storage and applications, IoT/AI/ML based applications in automobiles.
6. Composite and Bio-Material characterization, Vibration, FEM analysis and MD simulation, Solid waste management.
7. Advanced Materials and alloys, Composite Materials, Biomechanics, Finite Element Analysis, Tribology, Computational Mechanics, Mechanical Characterization.
8. Renewable energy, heat transfer enhancement, composite materials.
9. Micromachining, Flow and heat transfer through microchannels, Advanced manufacturing processes, Composites, Microwave material processing.
10. Heat transfer in nanofluids, Thermal storage, Renewable energy, Solar Thermal Energy.
11. Pioneering Eco-Friendly Composite Development with AI-Based Predictive Modeling and Advanced Processing Techniques, Hybrid Processing, Smart Joining, and Machine Learning Integration.
12. Two phase flow, numerical modelling, thermo-fluids.
13. Prognostics analysis of nonlinear vibration and its assessment. Condition monitoring. Fault diagnosis. Fault assessment. Application of AI and machine learning in mechanical engineering. Signal processing and its application.

Chemistry

1. Computational investigation of materials for metal ion extraction in actinide partitioning, Synthesis of metal organic frameworks for lanthanide / actinide separation, Synthesis of cathode materials for metal ion batteries.
2. Environmental Geoscience, Groundwater Quality and Hydrogeochemistry.
3. Organic Synthesis, Transition-Metal-Catalyzed C-H bond activation and functionalizations of arenes.

Mathematics

1. Mathematical Analysis, Summability Theory, Approximation Theory.
2. Biofluid mechanics; Microfluidics and nanofluidics; Nanofluids, CFD.
3. Computational Mechanics, Numerical Methods.
4. Wave propagation in Gaseous Media, Quasilinear Hyperbolic System of PDEs.
5. Mathematical Modeling, Mathematical Biology, Epidemiology.

Physics

1. Nano Energetic Materials, thermal and pressure studies.
2. Thin films, Magnetism and Spintronics, Sensors.
3. Magnetic thin films, Nanowires, Composite Materials, Bio Materials.
4. Computational Physics, Material for Energy Conversion; Battery Materials.
5. Material Science, Optics, Bio-medical Materials and Luminescence.

Humanities & Social Sciences

1. Postcolonial Literature and Cinema, Environmental Studies, Cultural Studies.
2. Organizational Behavior and Management Studies, Psychology, Sociology.

Eligibility Criteria

A candidate is eligible for registration to Ph.D. Program if he/she satisfies the following conditions: A Master’s degree in the concerned or an allied subject with a minimum 6.5 CGPA or 60% for General/OBC and 6.0 CGPA or 55% for SC/ST/PWD candidate and GATE / NET (CSIR/UGC/LS) in the concerned subject or discipline.

OR

A minimum of 6.5 CGPA or 60% for General/OBC and 6.0 CGPA or 55% for SC/ST/PWD at Bachelors level with at least 55% marks at Master’s level and GATE / NET (CSIR/UGC/LS) in the concerned subject or discipline.

Note: GATE/NET (CSIR/UGC/LS) in the concerned subject or discipline is mandatory. However, relaxation from the requirement of GATE/NET will be given only for admission into part time and Full Time (Self- Sponsored) Ph.D. Program. For part time Ph.D. Program, candidates should have minimum two years of experience and the candidate should be in service at the time of application. NOC in case of regular serving candidate is mandatory with the application form.

Minimum Qualification(s) required for shortlisting of Ph.D applications:

• Civil Engg.: B.E./B. Tech. and Master’s degree in relevant disciplines.
• Computer Science & Engg: B.E./B. Tech. and Master’s degree in relevant disciplines.
• Electrical Engg.: B.E./B. Tech. and Master’s degree in relevant disciplines.
• Electronics Engg.: B.E./B. Tech. and Master’s degree in relevant disciplines.
• Mechanical Engg.: B.E./B. Tech. and Master’s degree in relevant disciplines.
• Chemistry: Bachelors and Master’s degree in relevant disciplines.
• Mathematics: Bachelors and Master’s degree in relevant disciplines.
• Physics: Bachelors and Master’s degree in relevant disciplines.
• Humanities & Social Sciences: Bachelors and Master’s degree in Management (HRM & Organisational Behaviour) / Psychology/ Sociology/ English/ English Literature.

Selection Procedure

• Whole selection process will be through offline (physical) mode.
• The shortlisted candidates will be called for written test. There will be objective type questions as per Gate/NET syllabus.
• The candidate who secures at least 40% marks in the written test will be shortlisted for interview.
• List of shortlisted candidates for written test and interview schedule will be displayed on Institute website www.nituk.ac.in separately.
• No separate letter/communication will be made to any individual for written test/Interview.
• Candidates are advised to visit the Institute website regularly in this regard.

Last date for receipt of application form: 29 May 2025 (5.30 PM)

• Information Brochure
• Application Form
• NIT Uttarakhand Website