NIT Agartala PhD Admission 2025 (July)
Full details for NIT Agartala PhD Admission 2025 (July).
NIT Agartala invites applications for PhD admission in various disciplines for July-Dec 2025 academic Session.
Vacancy
Bio Engineering
- Biochemical Engineering:
- Strain improvement
- Plasmid stability
- Reactor stability
- Upstream and downstream processing
- Bioreactor design and analysis
- Process optimisation and intensification
- Modelling and simulation of bioprocess
- Metabolic Engineering
- Scale up
- Environmental Engineering:
- Solid and liquid waste management
- environmental Modelling
- waste utilisation
- resource recovery and circular economy
- Modelling & Simulation of Processes:
- Cell Biology, Molecular Biology, rDNA technology, Drug discovery and design, Bioinformatics, nanobiotechnology
Chemical Engineering
- Biochemical and Bioprocess Engineering:
- Bioprocess and Biosystem Engineering
- Energy and Environmental Engineering:
- Environmental Engineering and Sustainabilit
- Modelling & Simulation of Processes:
- Fluid Dynamics and Simulation
- Numerical Modeling and Simulation in Chemical Engineering (including Machine Learning and Artificial Intelligence)
- Advanced Separation Processes:
- Advanced Separation Processes and Technology
- Advanced Material Engineering:
- Material Science and Technology
Civil Engineering
- Structural Engineering:
- Linear and non linear response of a system and its optimize control
- Retrofitting and Rehabilitation of Structures
- Sustainability in the built environment
- Green, sustainable and alternative building materials
- Analysis of RC/steel/ buildings/masonry structures
- Seismic analysis and design of structures
- Vibration control
- Smart materials
- Structural health monitoring
- Geotechnical Engineering:
- Geo-mechanics
- Fluid-soil-structure interaction
- Geo hazards
- Transportation and Environmental-Geotechnics
- Forensic Engineering
- Earthquake Geotechnical Engg
- GIS and Hazard mapping
- Dynamics of Offshore/Onshore engineering
- Water resource Engineering and Hydraulic Engineering:
- RIVER ENGINEERING
- Hydrodynamics
- Sediment transport
- HYDROLOGY
- Remote Sensing & GIS applications in Water Resources
- Ground water hydraulics
- Hydro Informatics and Water Resources Development
- Al and Data Science in WRD
- CFD
- Environmental Engineering:
- Water and wastewater treatment
- Environmental nanotechnology
- Solid and Hazardous waste management
- Anaerobic digestion
- Sustainable treatment technologies
- Transportation Engineering:
- Pavement Materials
- Pavement Analysis & Design
- Traffic Engineering and Safety
- Transportation Planning
- GIS & Remote Sensing
- Sustainable Transportation
- Highway Construction, Management and Maintenance
- Ground Improvement Techniques
Computer Science & Engineering
- Networks, Communication, and Distributed Computing:
- Network architectures, protocols, and performance (SDN, NFV, automation)
- Wireless, mobile, and IoT/IoTM security and IOT networks (5G/6G, cognitive radio, MANET, VANET)
- Cloud, edge, mist and fog computing
- Distributed and parallel computing
- Green networking and energy-efficient systems, quantum networking
- Service-oriented network architectures
- Al enabled SDN
- Reinforcement learning for network routing and protocols
- Artificial Intelligence, Machine Learning, and Data Science:
- Machine learning, deep learning, and generative Al
- Natural language processing, speech processing, and computer vision
- Knowledge representation, data mining, and analytics
- Quantum natural language processing
- Explainable AI (XAI)
- Al ethics, and fairness
- Federated learning and edge AI
- Al-driven robotics and autonomous systems
- Recommendation systems and optimization techniques
- Time Series prediction
- Security, Privacy, and Cryptography:
- Cryptography (post-quantum, homomorphic encryption)
- Network, system, and application security
- Intrusion detection, adversarial ML, and Al-driven threat detection
- Blockchain and privacy-preserving computing
- Digital forensics and security in emerging technologies (IoT, quantum)
- Access control and identity management
- Information Systems and Applied Computing:
- Databases, big data systems, and information retrieval
- Software architecture, DevOps, and enterprise computing
- Smart cities, cyber-physical systems (CPS), and digital twins
- Applied computing in healthcare, finance, and sustainability
- Digital humanities and educational technology
- Human-Centered Computing and Ethics:
- Human-computer interaction (HCI), UX design, and accessibility
- AR, VR, mixed reality, and wearable computing
- Social computing and computational social science
- Al ethics, technology policy, and governance
- Brain-computer interfaces
- Theoretical Foundations and Emerging Technologies:
- Modeling, simulation, and high-performance computing (HPC)
- Quantum computing, quantum networking, and quantum algorithms
- Computational neuroscience and brain-inspired computing
- Neuromorphic computing, DNA computing, and bioinspired systems
- Space-based computing, satellite networks, and advanced materials for computing
Electrical Engineering
- Power System:
- Power Systems
- Distributed power generation
- Hybrid power system
- Energy conservation
- Power system planning under smart grid
- Demand response
- Deregulated Power system
- Power Quality
- Electric Vehicles
- Power System Optimization
- Power Electronics and Drives:
- Power Quality
- Power Electronics and Drives
- Multilevel Inverter Topologies
- Harmonic Elimination techniques
- Modular Multilevel Converter for HVDC application
- Electric Vehicle
- Smart Grids
- Power Electronics converter
- Integration of renewable energy
- Energy storage
- Multilevel converters
- PWM and control
- Instrumentation Engineering:
- Opto Electronics Instrumentation
- Industrial Instrumentation
- Solid State Lasers
- Fiber Optic Sensors
- Integrated Photonic Devices
- Fiber optics Communications
- Laser & nonlinear optics
- Surface Plasmon based sensors & Devices
- Integrated Energy System:
- Energy and Renewable Power
- Distributed Power Generation
- Hybrid Power System
- Energy Conservation
- Electric Vehicle
- Smart Grids
Electronics Communication Engineering
- VLSI Technology:
- VLSI Design and Synthesis
- VLSI Fabrication & Testing
- Hardware Security
- Network on Chip
- Communication and Microwave Engineering:
- Wireless Communication
- Wireless sensor network
- 5G/6G Communication
- Optical Communication
- Data communication & networking
- Information theory and Coding
- Microwave Devices and circuits
- Microwave Device fabrication
- Antenna Design
- Computational Electromagnetics
- Microstrip antenna
- Metamaterials
- Smart Antenna
- Electronic materials and Device fabrications:
- Semiconductor Devices
- Nano electronics
- Advanced Electronics materials and devices
- Opto-electronics Devices
- MEMS
- Photovoltaic and sensor devices
- Electronic System and IC packaging
- Gas Sensing Applications
- Signal Processing:
- Speech Signal Processing
- Video Signal Processing
- Image Processing
- RADAR Signal Processing
- Bio-medical signal processing
- statistical signal processing
- Embedded System and IoT:
- Design of Intelligent Systems
- System Security
- Smart City
- Robotics
- Health care
- Sensors, Instrumentation and Control:
- Sensors and transducers
- smart and intelligent sensors
- Electronic Instrumentation
- bio-instrumentation
- Virtual instrumentation
- impedance spectroscopy
- control System
- Artificial Intelligence (AI) and Machine Learning (ML):
- Deep Learning
- Reinforcement learning
- Natural Language Processing
- Artificial Neural Network
- Computer vision
- Recommender System
- Bayesian and statistical machine learning
Electronics Instrumentation Engineering
- Optics & Photonics:
- Optical Communication
- Optical Optoelectronic Instrumentation; sensors
- Optical Computing
- Flexible and wearable electronics:
- & IoT, Chemical and Bio Sensors
- Instrumentation and control:
- Sensors & transducer
- Instrumentation and Measurement
- Embedded system
- Robotics & Control
- Agricultural Electronics
- Biomedical Instrumentation:
- Medical Signal and Image Processing
- Medical Instrumentation and Al in healthcare
Mechanical Engineering
- Fluid & Thermal Engineering:
- Thermal Science & Engineering
- Automobile Engineering
- Heat Power
- Heat Transfer
- Pool boiling heat transfer
- Energy Materials
- Fluids & Thermal Engineering
- Cryogenics & Vacuum Technology
- Aerospace Engineering
- Computational Mechanics
- Manufacturing Science & Engineering:
- Manufacturing Technology
- Production Engineering
- Industrial Engineering
- CAD/CAM
- Advanced Manufacturing & Design
- Additive Manufacturing
- Modelling & Characterization
- Non Traditional Machining Process
- Micro Manufacturing
- Micro Machining
- Metal Casting
- MMC
- Bio Composites
- ceramic Composites
- Computational welding Mechanics
- Welding
- Polymer/Metal Additive manufacturing
- Ceramic Engineering
- Application of Artificial Neural Network
- Soft Computing
- Metallurgy
- Material Science
- Machine Design:
- Machine Design
- Tribology
- Fracture Mechanics
- Wear &Failure Analysis
- Corrosion
- Finite Element Formulation and Modelling
- Applied Mechanics
- Vibration Analysis
- Rotor Dynamics
- Advanced Design System
- Robotics & Mechanism
Production Engineering
- Manufacturing:
- Foundry-Forging
- Al alloy based composite materials
- Grain refinement
- Manufacturing Technology
- Non-traditional machining
- Machining Technology
- Casting
- Welding
- Production Management & Industrial Engineering:
- Production & Operation Management
- Financial Management
- Asset management
- Plant Maintenance
- Machine Design:
- Tribology of Bearings
- CAD/CAM
- Bio Tribology
- Soft Computing:
- Multi Criteria Decision Making (MCDM)
- Case Based Reasoning
- Decision Making and Soft Computational Approaches
Chemistry
- Organic Chemistry:
- Synthetic Organic Chemistry
- Bio-organic
- Green Chemistry and applications
- Inorganic Chemistry:
- Synthetic Inorganic Chemistry
- Bio-inorganic
- Organometallic Chemistry
- Coordination Chemistry
- Physical Chemistry:
- Physical chemistry
- Bio-physical
- Theoretical and computational Chemistry
- Material science and Nanoscience:
- Synthesis of carbon and metal nanoparticles and their applications
Mathematics
- Applied Mathematics:
- Operation Research
- Inventory Control
- Transportation Problem
- Fuzzy, Uncertainty Optimization
- Optimization
- Multi Criteria Decision Making
- Metaheuristics
- Waste Recycling
- Mathematical Modeling
- Biomathematics
- Graph Theory
- Quantum Computing
- Pure Mathematics:
- Topology
- Mathematicsl Modelling
- Biomathematics
- Fuzzy Mathematics
Physics
- Experimental Condensed Matter Physics:
- Thin film
- Nanotechnology
- Biomedical Sensors for Noninvasive Disease Monitoring
- Solar Cell
- Photoelectrochemical Cell
- Photodetectors
- Nanostructures (0D, 1D, 2D)
- Low Dimensional Growth and Applications in Electronic and Optoelectronic Devices
- Semiconductor Physics
- Application of low dimensional materials for green energy and sustainable environment
- Low-Temperature Physics Magnetism, superconductivity, and strongly correlated materials
- topological materials
- thermoelectric materials
- Liquid Crystals
- Experimental study of Sheath Instability during Multiple Double Layer Formation in Plasma
- Experimental study of Self-Organization and Nonlinear Dynamics of Space Charge Structure Formations in Plasma
- Theoretical Physics:
- Quantum Field Theory
- General Relativity
- Classical Gravity
- Space-time Geometry
- Cosmology
Management, Humanities Social Sciences
- Management:
- Marketing/ General Management
- Social Sciences:
- Economics
- Commerce
- Humanities:
- English
Minimum Qualification
A) Candidates for admission in Ph.D programme in Engineering Departments must satisfy one of the following criteria:-
- Master’s Degree in Engineering/ Technology or equivalent in an appropriate area with a minimum CGPA of 6.5 out of 10 point grading system or equivalent 60% of marks, from a recognized Institute or University.
- B.E./ B.Tech./ B.Pharm or similar discipline graduates, from an Institute/ University with average NIRF ranking of within 100 (Engineering category) over last 3 years, and Institutes of National Importance, with academic record as 70% or 7.5 CGPA in a 10 point scale, can be considered for direct admission in PhD programme. Such candidates must have valid GATE/NET score card tenable for the year of admission.
- Master’s Degree in relevant science discipline with a good academic record and of exceptional merit are eligible for relevant engineering discipline with minimum CGPA of 6.5 out of 10 point grading system or more or at least 60% of marks, from a recognized Institute or University. However, for availing scholarship of MHRD (now MoE), GATE score is mandatory.
Categories of Scholars under Section- A
- Full-time with scholarship: Candidates under this category will be eligible for fellowship as per MHRD (now MoE)/ Institute norms. GATE score is a mandatory criterion for this category of scholars for making themselves eligible for receiving scholarship during the tenure of Ph. Fellowship will be awarded to the scholars who are admitted under this category subject to the availability as stipulated by MHRD (now MoE). The award and/ or renewal of the fellowship will be as per the guidelines issued by MoE and the Institute, from time to time.
- Full time self-financed scholars: Candidate selected for admission under this category will not be entitled for any scholarship from Institute. GATE score is not a mandatory criterion for this category. However, eligibility norms are essential as per section A(I) of this notification.
B) Admission to Ph.D programme in Science Departments must satisfy one of the following criteria:-
- Master’s degree in Sciences with a good academic record and with a minimum of 65% marks (or equivalent or 6.5 CGPA in a 10 point grading system) or 60% of marks (6.0 CGPA out of 10 point grading system) with a GATE score or UGC/CSIR-NET/NBHM tenable for the year of admission. Preference will be given to GATE/NET qualified candidates.
- Master’s degree in Engineering/Technology or equivalent is eligible with a good academic record with a minimum CGPA of 6.5 out of 10 point grading system or equivalent or 65% of marks. Preference will be given to GATE qualified candidates.
- B.E/ B.Tech./ B.Pharm or similar discipline graduates, from an Institute/ University with average NIRF ranking of within 100 (Engineering category) over last 3 years, and Institutes of National Importance, with academic record as 70% or 7.5 CGPA in a 10 point scale, can be considered for direct admission in PhD programme. Such candidates must have valid GATE/NET score card tenable for the year of admission.
- Candidates admitted in science departments with eligibility criteria mentioned in B (I to III) are eligible for Institute scholarship under Full-time with scholarship category based on availability and decisions of competent authority from time to time. The award and/ or renewal of the fellowship will be as per the guidelines issued from time to time.
C) Admission to Ph.D programme in Humanities & Social Sciences under the Department of Management, Humanities & Social Sciences:-
- Scholars for admission to the Ph.D. programme in Humanities and Social Sciences (HSS) must have a Masters degree in relevant discipline with a minimum of 60% marks or equivalent or 6.5 CGPA in a 10 point grading system or 55% or 6.0 CGPA in a 10 point scale with a UGC/CSIR-NET/NBHM tenable for the year of admission.
- The relevant discipline of research will include English; Economics; Commerce; Finance; Foreign Trade; Business Management; Geography; Rural Management & Development; Sociology and others as per requirement of the Department, which will be notified from time to time.
- Preference will be given to NET qualified candidates.
D) Admission to Ph.D programme in Management under the Department of Management, Humanities & Social Sciences:-
- MBA/P.G. Diploma in Management of 2-year duration with 60% marks or a CGPA of 6.5 in 10 point scale.
- Preference will be given to GATE/NET qualified candidates.
Candidates admitted in MHSS Department for Ph.D programme under Full-time with scholarship category will be eligible for Institute scholarship, based on availability and decisions of competent authority from time to time.
The eligibility condition for Scholarship/Fellowship for candidates having MBA degree is 70% marks. The award and/ or renewal of the fellowship will be as per the guidelines issued from time to time.
Institute Employees/Research Scholars under External Registration/ Research scholars under part-time category
- For Research Scholars of these categories, the minimum educational qualifications are the same as prescribed in A to D above for admission to the Ph.D. programme in the respective categories.
- However, GATE score or CSIR/UGC JRF or Lectureship/NBHM/JMET/CAT/AIMA or equivalent qualification as applicable for regular full time research scholars may not be required in these cases.
Admission to Ph.D programme for foreign scholars
- Foreign nationals can only register as regular full-time scholars. Foreign nationals with Indian degrees from Indian Universities will be treated at par with Indian nationals for admission purposes. Foreign nationals with foreign degrees must meet the minimum educational requirements as given in A to D above and equivalent to an Indian Master’s degree in the relevant disciplines.
- In addition, they should have a valid GRE/GMAT/GATE/JMET/CAT/XAT/MAT/ATMA/UGC or CSIR/NET and a score in TOEFL/IELTS or equivalent examination.
- This category of scholars are not eligible for any financial assistance from the Institute during the entire tenure of the Ph.D programme.
Application Process
- Candidates have to apply online for PhD admission through https://admission.nita.ac.in/.
- Multiple programmes may be applied by the applicant. Separate registration and Application fee is required for each department.
- After registration, Application ID (to be used as login name) with Password will be sent to the email ID provided by the applicant.
- Application fees must be paid only by an online payment portal from this site.
Selection Procedure
- On submission of the online application, the candidates fulfilling eligibility conditions as per section A to D may be provisionally short-listed by the respective departments.
- The provisionally short-listed candidates will be required to appear for the online test (30 marks) to be conducted by the Institute.
- The test will comprise of MCQ type questions, covering the UG and PG levels (specialization wise at PG level).
- The candidates qualifying the test will be allowed to appear for online interview.
- Provisional selection for admission in Ph.D programme may be made strictly on the basis of academic performance of the candidates, publication and availability of seats.
Note
- GATE / NET qualified candidates may be exempted from the written test.
- Admission and Academic fees will be displayed on the Institute website at appropriate time.
- For all hostel related matters, candidates may contact the Office of the Chief Warden.
Important Dates
- Start of online application with fee payment: 28 March, 2025
- Last date of online payment (non-refundable): 22 April, 2025 (till 2.00 pm)
- Last date for submission of online application: 24 April, 2025
- Publication of short listed candidates: 2 May, 2025 (Tentative)
- Online written Test and/or Interview: 16 May, 2025 (Tentative)
- Publication of short listed candidates for provisional admission: 3 June, 2025 (Tentative)
- Payment of seat confirmation fee: 4 June, 2025 to 18 June, 2025
- Provisional admission on Physical presence: 7 July, 2024 to 18 July, 2025
- Commencement of classes: 21 July, 2024
Application Fee
- OP/OBC-NCL/EWS Candidates: Rs. 500/-
- SC/ST/PwD Candidates: Rs. 300/-