NIT Goa PhD Admission 2023 (Dec): Application Form, Dates, Results

NIT Goa PhD Admission 2023 (Dec) – National Institute of Technology Goa will invites applications for PhD admission for the academic year 2023-24 (Dec Session).

Check full details on NIT Goa PhD Admission 2023 (Dec) here.

NIT Goa PhD Programs

Available PhD Programs

Applications are invited for the PhD admission at the following Departments of NIT Goa –

Reservation Chart (for Full-time with scholarship)

5% of of Total seats are reserved for PwD.

PhD Program Schemes

• Full-time (With Scholarship)
  • The candidates selected under regular scheme (full-time) shall be entitled for scholarship/assistantship and HRA as per Govt. of India norms from time to time.
• Part-Time
  • Part-time Ph.D. programme is offered for working professionals from Govt. R&D Organizations /Public Sector /Industries /National Research Laboratories and for faculty members from Govt./Govt. Aided /Private Engineering/Science and Arts Colleges/Universities.
  • It is necessary for a candidate applying under part-time scheme to produce a “No Objection Certificate” on a proper letter head from the appropriate authority in the organization where he is presently employed.
  • Students admitted under part-time scheme have to serve a minimum one semester residential period at the Institute.
• Self-Financed
  • This is a full-time Ph.D. program without scholarship.
  • Under this scheme, the candidate has to be physically present in the campus.
  • The candidate must fulfill all other full-time Ph.D. program requirements.
• Sponsored
  • This is a full-time Ph.D. program without scholarship.
  • The Institute may admit persons who are employed in a Central/State Govt. Departments/PSUs/Reputed Educational Institutes/Research organizations/ Reputed Industries for doing research in the Institute on a full-time basis.
  • Candidates may be sponsored by a company or by educational institute or Industry or an Organization or Department etc.
  • Under this scheme, the candidate has to be physically present in the campus.
  • The candidate must fulfill all other full-time Ph.D. program requirements

Broad Areas of Research

Computer Science and Engineering

• Full-time /Regular Scheme: Brain-Computer Interface, Machine Learning, Internet of Things, Applied Machine Learning to Audio, Speech, Text, Images, Data mining and machine learning, Optimization Algorithms, Wireless Sensor Networks, Edge Computing, High Performance Computing, Advanced Mobile Communication (5G/6G), AI/ML for communication systems, Mobile Edge Computing (MEC), soft computing and Artificial Intelligence, Cryptography, Information Security, Blockchain, Network Security, Security Analytics, Cyber security, Adversarial Machine Learning, Offensive and Defensive Security and Privacy, Blockchain, Industrial IoT, Metaverse.
• Part-Time/Self-Financed/Sponsored: Brain-Computer Interface, Machine Learning, Internet of Things, Applied Machine Learning to Audio, Speech, Text, Images, , Data mining and machine learning, Internet of Things, Optimization Algorithms, Wireless Sensor Networks, Edge Computing, High Performance Computing, Advanced Mobile Communication (5G/6G), AI/ML for communication systems, Mobile Edge Computing (MEC), soft computing and Artificial Intelligence, Cryptography, Information Security, Blockchain, Network Security, Security Analytics, Cyber security, Adversarial Machine Learning, Offensive and Defensive Security and Privacy, Blockchain, Industrial IoT, Metaverse.

Electronics & Communication Engineering

• Full-time (with scholarship): Nano devices, Infrared Thermography Applications (Thermal Imaging). Image Denoising, Biomedical image Analysis, Image Classification, Object Tracking, Ultrasound signal analysis, FPGA Based Image Processing Applications, Machine Learning. Biomedical signal processing and Artificial Intelligence. VLSI Circuit Design, Semiconductor Devices, Biosensors, Memristors, IC design. Signal processing for wireless communication, 5G/6G, machine learning. RF & Microwave, Ground Penetrating Radar, Microwave Imaging, Inverse Problems. Microstrip Antenna Design; dielectric resonator antenna (DRA) design; Terahertz (THz) antennas; Smart Antennas, Antenna array design for 5G MM-Wave; Adaptive Beamforming; Power Divider Network for Array; Fractal Antenna; Phased Array Antenna; Wearable and Conformal Arrays; Array Pattern Synthesis; Evolutionary Algorithms. Microelectronics, VLSI Design, Analog and Mixed Signal Design. RF and Microwave Engineering, RF circuit design for 5G and 6G applications. Point-of-care Diagnostics, Bio-Photoniccs, Nanotechnology, AI driven nano devices for diagnostic applications.
• Part-Time/Self-Financed/Sponsored: Nano devices, Infrared Thermography Applications (Thermal Imaging). Image Denoising, Biomedical image Analysis, Image Classification, Object Tracking, Ultrasound signal analysis, FPGA Based Image Processing Applications, ECG Signal Analysis, Machine Learning. VLSI Circuit Design, Semiconductor Devices, Biosensors, Memristors, IC design. Signal processing for wireless communication, 5G/6G, machine learning. Biomedical signal processing and Artificial Intelligence. RF & Microwave, Ground Penetrating Radar, Microwave Imaging, Inverse Problems. Microstrip Antenna Design; dielectric resonator antenna (DRA) design; Terahertz (THz) antennas; Smart Antennas, Antenna array design for 5G MM-Wave; Adaptive Beamforming; Power Divider Network for Array; Fractal Antenna; Phased Array Antenna; Wearable and Conformal Arrays; Array Pattern Synthesis; Evolutionary Algorithms. Microelectronics, Digital and Analog VLSI, FPGA based design, Network on CHIP. Active filter circuit design, Low power VLSI circuit design. Microelectronics, VLSI Design, Analog and Mixed Signal Design. RF and Microwave Engineering.applications. Point-of-care Diagnostics, Bio-Photoniccs, Nanotechnology, AI driven nano devices for diagnostic applications.

Electrical & Electronics Engineering

• Full-time (with scholarship): Power Electronics and drives, Renewable Energy Systems, Power Systems, Smart Grids, Electric Vehicles, Control System, Digital Signal / Image Processing, FPGA Accelerators, Wavelets, Artificial Intelligence.
• Part-Time/Self-Financed/Sponsored: Power Electronics and drives, Renewable Energy Systems, Power Systems, Smart Grids, Electric Vehicles, Control System, Digital Signal / Image Processing, FPGA Accelerators, Wavelets, Artificial Intelligence.

Civil Engineering

• Part-Time/Self-Financed/Sponsored: Sustainable Geotechnics, Experimental soil mechanics, Clay minerology and microstructural aspects, Reinforced earth, Unconventional earth reinforcements, Environmental Geotechnology, Artificial Neural Networks in Geotechnical Engineering, Transportation Geotechnics.

Mechanical Engineering

• Full-time (with scholarship): Numerical and Experimental Fluid Flow and Heat Transfer, Microfluidics, Cooling Technologies, Energy Harvesting, Multiphase Flow and Heat Transfer, Micro and Nano Heat Transfer, Design for manufacturing and Assembly, Applied Ergonomics, Virtual Reality.
• Part-Time/Self-Financed/Sponsored: Numerical and Experimental Fluid Flow and Heat Transfer, Microfluidics, Cooling Technologies, Energy Harvesting, Multiphase Flow and Heat Transfer, Micro and Nano Heat Transfer, Reverse Engineering, Product Design for Elderly and Kids, Design for manufacturing and Assembly, Quality and Reliability, Sustainability

Applied Sciences

• Full-time (with scholarship):
  • Mathematics: Applied Mathematics, Fluid Mechanics, Hydrodynamic Stability.
  • Chemistry: Electron Paramagnetic Resonance (EPR) of Transition Metal Ions and Organic Free Radicals, Determination of electron spin relaxation times and distance measurement in biological systems, Application of EPR spectroscopy in solving chemical and biochemical problems, Chemistry of Lanthanides and Actinides.
• Part-Time/Self-Financed/Sponsored:
  • Mathematics: Applied Mathematics, Fluid Mechanics, Hydrodynamic Stability, Partial Differential Equations; Fractional Differential Equations; Mathematical Biology; Finite Element Methods.
  • Physics: Photonics, Fiber Optic Sensors, Microwave Absorption Materials, Thin Film Coatings, Gas Sensors.
  • Chemistry: Electron Paramagnetic Resonance (EPR) of Transition Metal Ions and Organic Free Radicals, Determination of electron spin relaxation times and distance measurement in biological systems, Application of EPR spectroscopy in solving chemical and biochemical problems, Chemistry of Lanthanides and Actinides.

Humanities and Social Sciences

• Part-Time/Self-Financed/Sponsored:
  • Economics: Firms Innovation; R&D and patenting, Economic Development.

Eligibility Criteria for NIT Goa PhD Admission 2023 (Dec)

For PhD in Engineering and Technology (CSE, ECE, EEE, CVE, MCE)

• Master’s Degree in Engineering or Technology (M.E. or M.Tech.) in the relevant discipline with a minimum of 6.5 CGPA on a 10 point scale grading system or 60% marks in both Bachelor’s and Master’s levels from recognized Technical Institute or University.
• For SC/ST candidates a minimum 6.0 CGPA on a 10 point scale grading system or 55% marks.
• Exceptional candidates (with CGPA >= 9.0) with B.Tech./B.E from a reputed Institute are also eligible to apply for the Ph.D. programme.

For PhD in Applied Sciences

• Master’s degree in Sciences / M. Tech. in relevant area with a minimum of 6.5 CGPA on a 10 point scale grading system or 60% marks in both Bachelor’s and Master’s levels from recognized Institute or University.
• For SC/ST candidates a minimum 6.0 CGPA on a 10 point scale grading system or 55% marks.

For PhD in Humanities & Social Sciences

• Master’s degree in Humanities with a minimum of 6.0 CGPA on a 10 point scale grading system or 55% marks in both Bachelor’s and Master’s levels from recognized Institute or University.
• For SC/ST candidates a minimum 5.5 CGPA on a 10 point scale grading system or 50% marks.

NIT Goa PhD Admission 2023 (Dec) Important Dates

NIT Goa PhD Admission 2023 (Dec) Application Process

• Candidates can apply online on http://mis.nitgoa.ac.in/PhDApplication/
• Read information brochure carefully before filling application form.
• Candidates are instructed to send the softcopy (PDF) of their finally submitted application (without enclosures) to phdadmissions@nitgoa.ac.in with mail subject: “Ph.D. Application July 2023- User ID” before last date.

Application Fee

NIT Goa PhD Admission 2023 (Dec) Selection Procedure

Selection for PhD admission will be based on the criteria –

• Overall academic performance and written test conducted by the respective department.
• Performance in personal interview
• The candidates shortlisted in the written test will be called for the personal interview.

Scholarship Requirement

A GATE qualification obtained by candidate at some point in time in the respective disciplines or other eligible fellowships such as JRF/UGC/NET/CSIR/DST-INSPIRE etc. in the respective disciplines or qualification in any other national level tests as specified by the norms of GoI from time to time.

NIT Goa PhD Admission 2023 (Dec) Results

List of Ph.D. shortlisted candidates for written test/interview

Important Links