NIT Agartala PhD Admission 2023 Date Eligibility Application

NIT Agartala PhD Admission 2023: NIT Agartala is an institute for national importance, opens application for PhD Admission for January session ! know more about important dates, fee, application notifications.

NIT Agartala PhD Admission 2023:Important Dates

Start of online application with fee payment – 04/11/2022

Last dale of online payment (non-refundable) – 21/11/2022

Last date for submission of online application – 23/11/2022

NIT Agartala PhD Admission 2023: Application Fee

Requisite nonrefundable application fee to the extent of Rs.500/- for OP/OBC-NCL/EWS candidates and Rs.300/- for SC/ST/PwD candidates has to be submitted online payment portal only.

Available Departments and Research Area for NIT Agartala PhD Admission 2023

Civil Engineering

Quality & treatment of water & waste water, Heavy metal removal; solid waste management; ecology; Adsorption modeling; Remote sensing & GIS; membrane filtration; anaerobic design; composting; Dynamic response & stability; Geotechnical Engineering; Field of Transportation Engineering; Water Resource Engineering; Structural Engineering; Liquefaction; Landslide; Slope stability; Geo-environmental study and seismology; Structural Dynamics and EQ Engg; Earthquake Geotechnical Engg; Building Materials and Structures; Pavement materials; Pavement analysis and design; Subgrade stabilization; Seismic performance evaluation of RC structures; Seismic performance evaluation of Masonry structures, Concrete performance against carrion; High performance concrete; Concrete Durability; Geopolymer concrete; Nondestructive Evaluation; Pavement/ Soil; Structural rehabilitation/ Strengthening; Hydro informatics/Al and Data science in water resources development; Environmental Nanotechnology waste water treatment.

Mechanical Engineering

Sustainable energy; Tribology; Bio Tribology; Phase Engine Heat transfer (Boiling & condensation); Refrigeration & Air Conditioning; Air Conditioning; Energy system Analysis; Flow Boiling in Horizontal tube; Fluid – flow & Heat transfer in microchannel; Alternative Fuels; Hydrodynamics; Manufacturing Technology; IC engine Alt. fuel and based stratcqies in IC engine; MO0P-IC engine; IC engine; Alt. fuel; Welding Analysis; Composite Materials; Heat transfer; Multiphase flow; CFD; Design Optimization; CAD; Advanced Composites; Advance Manufacturing system; Robotics; Optimization Non-traditional machining.

Electrical Engineering

Optoelectronics Instrumentation, Industrial Instrumentation; Solid State Lasers and Nonlinear-optics; Fiber Optic Sensors; Integrated Photonic Devices; Fiber optics Communications; Power Systems; High Voltage Engg; Energy & Renewable power; Distributed power generation; Hybrid power system; Energy conservation; Power system planning under smart grid; Demand response; Electric Monility; Application of Evolutionary Techniques to Deregulated Power system; Power quality; Energy efficient data centers, frequency conversion; Nonlinear optics; Laser & nonlinear optics; Surface Plasmon based sensors & Devices; Multi level inverter topologies; Harmonic elimination techniques; Modular multi level converter for HVDC application; Power electrics application to renewables; Electric vehicle.

Computer Science & Engineering

Wireless Sensor Network; Software Defined Network; IoT; MANET; VANET; Information Retrieval; application of Machine Learning; Deep Learning in text processing; Machine Learning in Visual Inference; Artificial intelligence and Neural Networks; Cryptography; Steganography; Data Privacy; Cyber Security; Network Security; Data Analytics and Decision making with NLP techniques; Computational Social Science; Code- Mixing; Social Computing; Computational Linguistic with transfer learning.

Production Engineering

Foundry-Forging; SG Iron; Steel; Al alloy based composite materials; Grain refinement; Manufacturing Technology; Multi Criteria Decision Making (MCDM); Case Based Reasoning (CBR); Advanced Fluidics; Production and Operations management; Non-traditional’ machining; Financial management; Tribology of Bearings; Asset Management; Machining Technology, Decision Making; Plant Maintenance, Casting; Welding and soft computational approaches.

Electronics & Communication Engineering

Image Processing; Microwaves and Antennas; VLSI Design and Synthesis; Control and Instrumentation; Bio impedance and signal Analysis; Device and material Characterization; Microwave circuits and Antennas, Metamaterial; Superstate; VLSI Semiconductor Device; Nanoelectronics; Optoelectronics Devices; Nanotechnology; VLSI; Hardware Security; Network-on-Chip; Electronic Design Automation (VLSI Design).

Chemical Engineering

Water and Wastewater treatment; Adsorption; Bioremediation; Utilization of Biofilm for waste removal; Removal of heavy metals, dyes and other emerging contaminants; Microalgae and Cyanobacteria based Biofuels and Bioproducts; Conversion of Lignocellulosic Biomass into Liquid Biofuels and Value added Chemicals; Metabolic Network Analysis; Systems Biology; Fermentation Technology; Utilization of solid waste; Arsenic removal by membrane processes and other technologies; Water (ground and surface water) and wastewater treatments by Membrane processes; Fluid Dynamics; CFD; Petroleum; Fuel and combustion; heat and mass transfer; chemical & bio-chemical engg; Environment; waste water; Bio-Engg; Biotechnology; Bio-medical; Instrumentation; Nano and rubber technology.

Bio Engineering

Biotechnology, Biochemical Engineering.

Electronics & Instrumentation Engineering

Optics & Photonics; Flexible and wearable electronics; IoT; Chemical and Bio Sensors; AI and ML; Sensors & transducer; Instrumentation and Measurement; Embedded system; Robotics; Agricultural Electronics; Medical Signal and Image Processing; Medical Instrumentation and AI in healthcare.

Physics

Liquid Crystal; Biomedical Sensors for Noninvasive Disease Monitoring; Solar Cell; Photoelectrochemical Cell; Photodetectors; Low Dimensional Nanostructures (0D, 1D, 2D); Growth and Applications in Electronic and Optoelectronic Devices, Semiconductor physics; Application of low dimensional materials for green energy and sustainable environment; Quantum field theory; Experimental Plasma Physics; Multiferroic; Theoretical Physics; Experimental Condensed Matter Physics; Thin film; Nanotechnology.

Chemistry

Organic Chemistry, Inorganic Chemistry, Organometallic Chemistry, Coordination Chemistry, Carbon and metal nanoparticles; Solar Cells; Water Purification; Biosensors.

Mathematics

Inventory Control; Transportation; Fuzzy Optimization; Optimization; MCDM; Topology; Mathematical Modelling.

Management, Humanities & Social Sciences

Management; Social Sciences., Sociology and Economic Geography, Economics , Economics and Rural Management/ Development, Sociology and Geography/ Economic Geography.

Minimum Eligibility Criteria for Admission to PhD Programme at NIT Agartala

For 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 65% of marks.
Bachelor’s Degree in Engineering/ Technology from a centrally funded Technical Institute with an excellent academic record and with a CGPA of at least 9.0 out of 10 point grading system or equivalent 90%of marks. Candidates must have valid GATE score 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 65% of marks. Preference will be given to GATE qualified candidates. However, for availing scholarship of MHRD (now MoE), GATE score is mandatory.

For 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-NETA{BHM 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.Tech/ B.E degree from a centrally funded technical institute in India with a minimum CGPA of 9.0 in a 10.0 point scale or equivalent of 90% of marks with a valid GATE score.

For Humanities & Social Sciences under the Department of Management, Humanities & Social Sciences

Scholars for admission to the Ph.D. program in Humanities and Social Sciences (HSS) must have a Masters degree in relevant discipline with a minimum of 65% marks or equivalent or 6.5 CGPA in a 10 point grading system or 60% or 6.0 CGPA in a 10 point scale with a UGC/CSIR-NETAIBHM 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.

For Management under the Department of Management, Humanities & Social Sciences

MBA/P.G. Diploma in Management of 2-year duration with 65% marks or a CGPA of 6.5 in 10 point scale. Preference will be given to GATE / NET qualified candidates.