NIT Goa PhD Admission Jan 2023: Application Form, Dates

NIT Goa PhD Admission

NIT Goa PhD Admission Jan 2023 – National Institute of Technology Goa invites applications for PhD admission for the academic year 2022-23 (Jan Session).

Check full details on NIT Goa PhD Admission Jan 2023 below here.

NIT Goa PhD Programs

Available PhD Programs

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

Department
Department of Computer Science and Engineering (CSE)
Department of Electrical and Electronics Engineering (EEE)
Department of Electronics and Communications Engineering (ECE)
Department of Civil Engineering (CVE)
Department of Mechanical Engineering (MCE)
Department of Applied Sciences (APS)
Department of Humanities and Social Sciences (HSS)

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.
    • 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.
  • 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, Medical Imaging, Wireless Sensor Networks, Applied machine learning for Speech/Audio Processing, Medical Image Analysis, Natural language processing, Computer Vision, Cryptography, Information Security, Blockchain, Network Security, Security Analytics, Data Mining, Internet of Things, Optimization Algorithms, Bio-inspired Algorithms, High Performance Computing, UAV communication, Security in Communication, Machine learning in Communication, Artificial Intelligence, Soft Computing and its applications, Security and Privacy, Adversarial Machine Learning.
  • Part-Time/Self-Financed/Sponsored: Brain-Computer Interface, Machine Learning, Medical Imaging, Wireless Sensor Networks, Applied machine learning for Speech/Audio Processing, Medical Image Analysis, Natural language processing, Computer Vision, Cryptography, Information Security, Blockchain, Network Security, Security Analytics, Internet of Things, Optimization Algorithms, Bio-inspired Algorithms, High Performance Computing, UAV communication, Security in Communication, Machine learning in Communication, Artificial Intelligence, Soft Computing and its applications, Security and Privacy, Adversarial Machine Learning.

Electronics & Communication Engineering

  • Full-time (with scholarship): Biomedical Signal Processing, Image Denoising, Biomedical image Analysis, Image Classification, Object Tracking, Ultrasound signal analysis, FPGA Based Image Processing Applications, Semiconductor Devices & Technology, Thermal Imaging (Infrared Thermography), Agriculture Electronics, RF and Microwave, Antenna Engineering, RFIC, Antennas modelling, Antenna Array, Microstrip Antenna Design, Fractal Antennas, Antenna measurements, Beam steerable Antennas, wearable Antennas, microstrip reflect array, DRA’s, Slow-wave structures, leaky wave Antennas, terahertz antenna design, Antenna synthesis using optimization, Microwave components and devices, EMI/EMC, Microelectronics, VLSI Design, Analog and Mixed Signal Design. Signal Processing, Wireless Communication, Microelectronics, Digital and Analog VLSI, FPGA based design, Network on Chip, Microwave imaging, Ground penetrating radar, inverse problems, RF and Microwave, VLSI Circuit Design, Semiconductor Devices, Biosensors, Memristors, IC design, Antenna Design & Fabrication.
  • Part-Time/Self-Financed/Sponsored: Image Denoising, Biomedical image Analysis, Image Classification, Object Tracking, Ultrasound signal analysis, FPGA Based Image Processing Applications, ECG Signal Analysis, Machine Learning, Nano Devices & Circuits, Agriculture Electronics, Microelectronics, VLSI Design, Analog and Mixed Signal Design, Signal Processing, Wireless Communication, Microelectronics, Digital and Analog VLSI, FPGA based design, Network on CHIP, Microwave imaging, Ground penetrating radar, inverse problems, RF and Microwave, VLSI Circuit Design, Semiconductor Devices, Biosensors, Memristors, IC design, Antenna Design & Fabrication.

Electrical & Electronics Engineering

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

Civil Engineering

  • Part-Time/Self-Financed/Sponsored: Sustainable Geotechnics, Experimental soil mechanics, Reinforced earth.

Mechanical Engineering

  • Full-time (with scholarship): 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: 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: Biomedical imaging, Numerical Optimization, and ANN.
    • Physics: Photonics, Sensors, Meta Materials, Light emitting diodes, Glass and Glass-ceramics, Solid State Sodium ion batteries, Coatings.
    • Chemistry: Electron Paramagnetic Resonance, Extraction of Lanthanides and Actinides.
  • Part-Time/Self-Financed/Sponsored:
    • Mathematics: Applied Mathematics; Fluid Mechanics; Convective Instability problems; Heat and Mass Transfer, Partial Differential Equations, Fractional Differential Equations Mathematical Biology and Finite Element Methods.
    • Physics: Photonics, Sensors, Meta Materials, Light emitting diodes, Glass and Glass-ceramics, Solid State Sodium ion batteries, Coatings.
    • Chemistry: Electron Paramagnetic Resonance, Extraction of Lanthanides and Actinides.

Humanities and Social Sciences

  • Full-time (with scholarship):
    • English: Culture Studies and Comparative Mysticism.
    • Economics: R&D, Innovation, Intellectual Property Rights, and Sustainable Development
  • Part-Time/Self-Financed/Sponsored:
    • English: Culture Studies and Comparative Mysticism.
    • Economics: R&D, Innovation, Intellectual Property Rights, and Sustainable Development

NIT Goa PhD Admission Jan 2023 Important Dates

EventDate
Start of Online Application (Website Open)28 November 2022
Last Date for Submission of Online Application19 December 2022 (05 PM)
Tentative Schedule for Written Test/Interview05-06 January 2023

Eligibility Criteria for NIT Goa PhD Admission Jan 2023

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 Jan 2023 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 January 2023- User ID” before last date.

Application Fee

Gen/OBC-(NCL)/EWSRs.500/-
SC/ST/PwD ApplicantsRs.300/- 
Mode of PaymentOnline

NIT Goa PhD Admission Jan 2023 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

Important Links

NotificationClick Here
Application PortalClick Here
NIT Goa WebsiteClick Here
Latest PhD AdmissionsPhD Admissions
Admissions in GoaAdmissions in Goa

Previous Admissions

NIT Goa PhD Admission July 2022

NIT Goa PhD Admission July 2022 Important Dates

EventDate
Start of Online Application (Website Open)06 June 2022
Last Date for Submission of Online Application (Extended)15 July 2022 (05 PM)
Tentative Schedule for Written Test/Interview04 & 05 August 2022

NIT Goa PhD Admission July 2021

Important Dates

EventDate
Start of Online Application (Website Open)17 July 2021
Last Date for Submission of Online Application06 August 2021
Tentative Schedule for Online Written Test/Interview12 & 13 August 2021 

PhD Program Schemes

  • Full-time (FT)/Regular Scheme
  • Part-time Scheme

Broad Areas of Research

Computer Science and Engineering

  • Full-time /Regular Scheme: Machine learning for multimedia analytics, Explainable AI – especially explainable machine learning, Data mining, Machine learning, Stream data mining, Social media mining, Medical imaging, Brain Computer Interface, Internet of Things, Wireless Sensor Networks.
  • Part-time Scheme: Cryptography, Information Security, Blockchain, Security Analytics, Future Energy Applications, Information and Network Security, Soft Computing, Data Mining, Machine Learning, Deep Learning. Image Processing, Artificial Intelligence, Wireless Sensor Networks, Application of Deep Learning techniques in Computer network, Software Defined Network (SDN), Wireless or Cellular Network, Performance analysis of Computer network, Internet of Things, Sustainable Computing, Optimization Algorithms, Brain-Computer Interface, Internet of Medical Things, 3D printing and Design Medical Imaging.

Electronics & Communication Engineering

  • Full-time/Regular Scheme: Microelectronics, VLSI, Analog and Mixed Signal Design, Low Power gm-C filter, FPGA based Algorithm implementation, Signal Processing, Medical image processing, object detection and tracking, ultrasound signal processing, RF & Microwave, Signal processing and wireless communication, Semiconductor Nano Devices, Infrared Thermography Applications, RF and Microwave Engineering, Antenna Engineering, GPR imaging, inverse problems, microwave imaging.

Electrical & Electronics Engineering

  • Part-time Scheme: Power Electronics, Renewable Energy Systems, Power Systems, Smart Electric Grids, Electrical Vehicles, Power Electronics and Drives, Power Engineering, Power Quality issues, Control Systems, Soft-Computing, Digital Signal/Image Processing, Biomedical Signal Processing, Wavelets, FPGA Accelerators.

Civil Engineering

  • Full-time / Regular Scheme: Geotechnical Engineering, Structural Engineering and Engineering Materials.
  • Part-time Scheme: Structural Engineering, Engineering Materials, Geotechnical Engineering, Remote Sensing and GIS and applications to Civil Engineering, Soft computing techniques and applications to Civil Engineering.

Mechanical Engineering

  • Full-time / Regular Scheme: Applied Ergonomics, Design for Assembly, Virtual reality for assembly applications, Thermal and Fluids Engineering.
  • Part-time Scheme: Thermal and Fluids Engineering, Ergonomics, Design for Assembly.

Applied Sciences

  • Full-time / Regular Scheme: Mathematics: Partial Differential Equations, Finite Element Methods and Mathematical Biology
  • Part-time Scheme: Mathematics: Mathematics: Fluid Dynamics, Partial Differential Equations, Finite Element Methods and Mathematical Biology. Physics: Materials Science, Photonics.

Humanities and Social Sciences

  • Full-time / Regular Scheme: English: Culture studies and Comparative Mysticism.
  • Part-time Scheme: English: Culture Studies and Comparative Mysticism. Economics: Innovation, intellectual property right, sustainable development.