NIT Goa PhD Admission 2025 (July)

National Institute of Technology Goa will invites applications for PhD admission for 2025-26 (July Session).

PhD Program Schemes

Full-Time (with scholarship):

• Candidates selected under this scheme are entitled to scholarship/assistantship and House Rent Allowance (HRA) as per Government of India norms.
• Detailed information on scholarship requirements should be referred to in the dedicated section.

Part-Time:

• This program is for working professionals from Government R&D Organizations, Public Sector, Industries, National Research Laboratories, and faculty members from Government/Government-Aided/Private Engineering/Science and Arts Colleges/Universities.
• Candidates applying under this scheme must provide a “No Objection Certificate” on a proper letterhead from the appropriate authority of their current employer.
• Students admitted part-time are required to complete a minimum one-semester residential period at the Institute.
• However, regular employees of centrally funded research laboratories and organizations with a minimum of five years of continuous work experience in the same organization, if selected for the part-time Ph.D. program, will be permitted to complete their Ph.D. coursework through NPTEL/MOOC platforms. These courses must be pre-approved by the Departmental Research Committee (DRC), and such candidates are not required to be physically present for attending classes.

Self-Financed:

• This is a full-time Ph.D. program without scholarship.
• Candidates must be physically present on campus.
• Candidates 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 individuals employed in Central/State Government Departments, PSUs, Reputed Educational Institutes, Research organizations, or Reputed Industries for full-time research at the Institute.
• Candidates may be sponsored by a company, educational institute, Industry, Organization, or Department, etc.
• Under this scheme, the candidate must be physically present on campus.
• The candidate must fulfill all other full-time Ph.D. program requirements.

Broad Areas of Research

Computer Science and Engineering (CSE)

• Full-time (with scholarship) / Part-Time/Self-Financed/Sponsored:
  • Brain-Computer Interface
  • Machine Learning
  • Computer Vision
  • Internet of Things
  • Cyber Physical Systems
  • Natural Language Processing
  • AI for Agriculture
  • Applied machine learning for speech/audio, Vision, Text and Time series data
  • Audio deep fake detection
  • Data Mining
  • Social Media Analysis
  • Wireless Sensor Networks
  • Swarm Intelligence
  • Optimization Algorithms
  • High Performance Computing
  • Quantum Computing
  • AI/ML for communication network: Federated learning
  • IoT-Edge-Cloud Continuum Systems
  • Advanced Mobile Communication (B5G/6G)
  • Game theory application in advanced computer network
  • Soft Computing
  • Blockchain
  • Adversarial Machine Learning
  • Cyber Security

Electrical & Electronics Engineering (EEE)

• Full-time (with scholarship) / Part-Time/Self-Financed/Sponsored:
  • Smart Electric Grid
  • Electric vehicles
  • Wireless Power Transfer
  • EV Charging topologies
  • Battery Management System
  • Grid connected/Stand-Alone PV Systems
  • Renewable Energy Systems
  • Optimization Techniques
  • Power Quality Issues
  • HVDC and FACTS
  • Applications of Soft Computing Techniques
  • Restructured Power Systems
  • Electric Arc Furnace Operations
  • AC/DC Microgrids
  • Multilevel Converter
  • Pulse width Modulation
  • Switched Reluctance Motor and Drives
  • Digital Signal/Image Processing
  • Design of Wavelets
  • FPGA based Hardware Accelerators
  • Biometrics
  • Other relevant research domains/areas of Electrical and Electronics Engineering.

Electronics & Communication Engineering (ECE)

• Full-time (with scholarship) / Part-Time/Self-Financed/Sponsored:
  • Microelectronics
  • Digital and Analog VLSI
  • Network on CHIP
  • Low power Active filter circuit design
  • System Design and implementation using an FPGA
  • Image Denoising
  • Biomedical image Analysis
  • Image Classification
  • Object Tracking
  • Ultrasound signal analysis
  • FPGA Based Image Processing Applications
  • Machine Learning
  • Deep Fake Detection
  • VLSI Design
  • Analog and Mixed Signal Design
  • AI assisted VLSI circuits
  • 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
  • Transmitter/receiver design
  • Fast Adder
  • Multiplier
  • Multiply-divide unit
  • Signal processing for wireless communication
  • Use of machine learning in advanced wireless communication
  • Intelligent reflecting surface
  • AI and ML for sensors design at nanoscale
  • Nanoscale optical sensors
  • Low Cost Point of Care Diagnostics
  • Biomedical Signal Processing
  • Pattern and AI in Medicine
  • Infrared Thermography (Thermal Imaging)
  • Agriculture Electronics
  • Biomedical Instrumentation
  • Antenna Engineering
  • RF and Microwaves
  • AI and ML for Microwaves
  • Microwave Wireless Power Transfer
  • Ground Penetrating Radar
  • Microwave Imaging
  • Inverse Problems
  • Semiconductor Devices
  • VLSI Circuit Designs
  • Digital Circuit Design
  • System Verilog

 Civil Engineering (CVE)

• Full-time (with scholarship) / Part-Time/Self-Financed/Sponsored:
  • Sustainable Geotechnics
  • Soil behaviour under static/cyclic conditions
  • Clay minerology and microstructural aspects
  • Reinforced earth
  • Environmental Geotechnology
  • Transportation Geotechnics
  • Sustainable Construction.

Mechanical Engineering (MCE)

• Full-time (with scholarship):
  • Design for manufacturing and Assembly
  • Applied Ergonomics
  • Virtual Reality for manufacturing
  • Additive manufacturing
  • Numerical and Experimental Fluid Flow and Heat Transfer
  • Microfluidics
  • Battery Cooling Technologies
  • Green Energy
  • Energy Harvesting and Energy Storage
  • Design and Optimization of Thermal System
  • Micro and Nano Heat Transfer
  • AI and ML in Thermal System
• Part-Time/Self-Financed/Sponsored:
  • Reverse Engineering
  • Product Design for Elderly and Kids
  • Design for manufacturing and Assembly
  • Quality and Reliability
  • Sustainability
  • Numerical and Experimental Fluid Flow and Heat Transfer
  • Microfluidics
  • Battery Cooling Technologies
  • Green Energy
  • Energy Harvesting and Energy Storage
  • Design and Optimization of Thermal System
  • Micro and Nano Heat Transfer
  • AI and ML in Thermal System.

 Applied Sciences (APS)

• Full-time (with scholarship) / Part-Time/Self-Financed/Sponsored:
  • Mathematics: Applied Mathematics, Hydrodynamic Stability, Non-Newtonian Fluids, Fluid Instabilities, Artificial Intelligence and Machine Learning, Numerical Optimization and Simulation, Biomedical Imaging, Inverse Problems, Partial Differential Equations, Fractional Differential Equations, Mathematical Biology, Finite Element Methods.
  • Physics: Photonics: Fiber Optic Sensors; & Materials Science: Microwave Absorption Materials, Thin Film Coatings and Gas Sensors, Energy Storage Devices.
  • Chemistry: Electron Paramagnetic Resonance (EPR) of Transition Metal Ions and Organic Free Radicals, Electron Spin Relaxation Time And Its Mechanism, Distance Measurement Between Sites In Biomolecules, Application of EPR towards Biology, Chemistry of Lanthanides and Actinides.

 Humanities and Social Sciences (HSS)

• Full-time (with scholarship) / Part-Time/Self-Financed/Sponsored:
  • English: Post Humanism and Dalit Literature
  • Economics: R&D, Innovation, Intellectual Fellowship Property Rights and Sustainable Development.

Eligibility Criteria

For Ph.D. in Engineering and Technology (CSE, ECE, EEE, CVE, MCE):

• Minimum 6.5 CGPA on a 10-point scale grading system or 60% marks in both Bachelor’s and Master’s (M.E. or M.Tech in relevant discipline) level from a 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 Ph.D. in Applied Sciences:

• Minimum 6.5 CGPA on a 10-point scale grading system or 60% marks in both Bachelor’s and Master’s (Master’s degree in Sciences / M. Tech. in relevant discipline) level from a recognized Institute or University.
• For SC/ST candidates, a minimum 6.0 CGPA on a 10-point scale grading system or 55% marks.

For Ph.D. in Humanities & Social Sciences:

• Minimum 6.0 CGPA on a 10-point scale grading system or 55% marks in both Bachelor’s and Master’s (Humanities/Social Sciences) level from a recognized Institute or University.
• For SC/ST candidates, a minimum 5.5 CGPA on a 10-point scale grading system or 50% marks.

Application Process

• Applicants must apply through Online Portal: https://www.nitgoa.ac.in/admissions/phd.html
• A student applying for more than one Department will have to fill separate application forms.
• Applicants are advised to read this Information Brochure carefully and Check the Reservation Chart (for Full-Time with scholarship ONLY) before applying online.
• Candidates MUST specify broad areas of research in the application form.
• The candidates with INSPIRE, UGC-CSIR Fellowships or any such fellowships can apply under Full-Time category irrespective of vacancies.

Selection Procedure

• The admission to Ph.D. Programme will be based on the criteria given below:
  • a) Overall academic performance and written test conducted by the respective Department.
  • b) Performance in personal interview.
• The candidates shortlisted in the written test will be called for the personal interview.
• Short-listed candidates for written test and personal interview will be uploaded on the Institute website. No separate intimation will be sent to the applicants.
• All candidates selected for admission shall be required to deposit the requisite Institute fee and produce necessary original documents at the time of admission.

Scholarship Requirement

A GATE qualification obtained by candidate at some point in time in the respective discipline or any 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.

• Start of Online Application (Website Open): 22 May, 2025
• Last Date for submission of Online application (Website Closure): 22 June, 2025
• TENTATIVE date for intimating candidates shortlisted for Written Test*/Interview: 7 July, 2025
• TENTATIVE Schedule for Written Test*/Interview: 14 July, 2025 to 16 July, 2025

• Brochure
• Application Portal
• NIT Goa Website