NIT Meghalaya PhD Admission 2022 (July): Dates, Application Form, Results

NIT Meghalaya PhD Admission

NIT Meghalaya PhD Admission 2022 (July) – NIT Meghalaya invites applications for PhD Admission under Full time, and Sponsored (Part-Time) categories starting in July 2022 (Autumn Semester 2022).

Latest – List of selected candidates is available now

Available PhD Programs

List of Departments where Full PhD admission available

  • Physics (PH)
  • Chemistry (CY)
  • Mathematics (MA)
  • Humanities & Social Sciences (HS)
  • Civil Engineering (CE)
  • Computer Science & Engineering (CS)
  • Electronics & Communication Engineering (EC)
  • Electrical Engineering (EE)
  • Mechanical Engineering (ME)

Disciplines and Areas for PhD

DepartmentAreas (For Full Time)Areas (For Sponsored Part Time)
Civil Engineering(CE)1. Effects of residual stress on fatigue and fracture of structural elements.
2. Transportation Engineering, Pavement material, and construction and building materials
3. Geo-environmental engineering
1. Structural Engineering
2. Transportation Engineering, Pavement material, and construction and building materials
3. Geo-environmental engineering
4. Solid waste management; wastewater treatment; Air pollution control
Computer Science & Engineering(CS)High Performance Computing, Biomedical Image Processing, Machine Learning, Block-chain Technology and its applications IoT, Machine Learning 
Electronics & Communication Engineering(EC)Reconfigurable VLSI Architectures, Approximated VLSI Architectures for Multimedia and Signal processing applications.Low power VLSI-Digital DesignBiomedical Image Processing, Medical Image Analysis, Pattern recognitionRF Microelectronics Circuit DesignDeep neural network-based algorithms for speech processing, Array Signal Processing, and Signal processing algorithms for cognitive neuroscience applicationsVLSI Design, Microelectronics circuits and Device, Brain Inspired Computing, VLSI Signal Processing, Computer ArithmeticMulticarrier waveforms for 6g, Wireless communicationMEMS Low power VLSI-Digital DesignBiomedical Image Processing, Medical image analysis, Pattern recognitionRF Microelectronics Circuit DesignImplantable Antenna and Electromagnetic MetasurfaceDeep neural network-based algorithms for speech processing, Array Signal Processing, and Signal processing algorithms for cognitive neuroscience applicationsDigital image processing, hyperspectral image analysisVLSI Design, Microelectronics circuits and Device, Brain Inspired Computing, VLSI Signal Processing, Computer ArithmeticWireless communication 5G systems and beyond, ML applications for wireless communicationMulticarrier waveforms for 6g, Wireless communicationMEMS  
Electrical Engineering(EE)1. Modelling of EHVAC Transmission Line.
2. Operation & Control of Smart Electric Grids.
3. Renewable Energy Integration and Control.
4. Cyber-attacks in Power Systems.
5. Nonlinear Systems and Chaos Control
6. Control System and Automation
7. Big Data Analytics on Smart Electric Grid.
8. Monitoring and Protection of Power Systems.
9. Transactive Energy Markets.
10. Signal processing in Medical Application
11. Wavelet Technique in Electrical Engineering Application
1. Modelling of EHVAC Transmission Line.
2. Control of PMSM Drives & Advanced Power Converters.
3. Operation & Control of Smart Electric Grids.
4. Renewable Energy Integration and Control.
5. Cyber-attacks in Power Systems.
6. Nonlinear Systems and Chaos Control
7. Big Data Analytics on Smart Electric Grid.
8. Monitoring and Protection of Power Systems.
9. Transactive Energy Markets.
10. Signal processing in Medical Application
11. Wavelet Technique in Electrical Engineering Application                                  
12. Control System and Automation
Mechanical Engineering(ME)1. Non-destructive testing and structural health monitoring  
2. Surface modification
3. Solar Thermal
4 Air Conditioning
1. Solar Thermal
2.  Air Conditioning
Physics(PH)1. Liquid Crystals
2. Experimental Condensed Matter Physics
3. Astroparticle Physics
4. Laser Produced Nanoparticles
5. Heterojunction solar cell device & modelling
NIL
Chemistry(CY)1. Biophysical Chemistry (Experimental)
2. Theoretical and computational chemistry: electronic structure calculation and reaction dynamics of molecular systems
1. Stimuli responsive smart materials 
Mathematics(MA)1. Functional Analysis
2. Linear Algebra
3. Statistical Inference
4. Algebra
5. Fluid Dynamics
1. Functional Analysis
Humanities & Social Sciences(HS)1. Indian Writing in English.
2. European Literature
3. Gender Studies
1. Communication

Eligibility Criteria for NIT Meghalaya PhD Admission 2022 (July)

  • For Full Time Scholars
    • Master’s degree in Engineering/ Science/ Technology/ Humanities and Social Sciences/ Management Sciences/ or Master’s degree in the allied subjects with consistently good academic record and a minimum of 60% (55% in case of Humanities and Social Sciences) marks or an equivalent CGPA in the Master’s degree.
    • Candidates with B.E./ B. Tech. with an aggregate of 75% marks or equivalent GPA with valid GATE score will also be eligible.
    • Candidate’s age should not be more than 35 years. It can be relaxed for women, reserved category and PWD candidates as per Government of India norms.
  • For Sponsored (Part Time) Scholars
    • Master’s degree in Engineering/ Science/ Technology/ Humanities and Social Sciences/ Management Sciences/ or Master’s degree in the allied subjects with consistently good academic record and a minimum of 60% (55% in case of Humanities and Social Sciences) marks or an equivalent CGPA in the Master’s degree. OR
    • Candidates with B.E. / B. Tech. with an aggregate of 60% marks or equivalent CGPA are eligible. Relaxation for SC/ST & PH as per GOI norms.
    • Employees from Industries, Corporate Houses, Research and Development (R&D) Organizations and Faculties of Senior Colleges with minimum working experience of 5 years, out of which 2 years should be from the current organization, will be eligible for applying to the Sponsored Ph.D. Programme.
    • Candidate’s age should not be more than 58.

Relaxation for SC/ST/PWD Candidates

Eligibility criteria will be relaxed by 5% marks or 0.5 CGPA for SC/ST/PWD category applicants as per GOI Norms.

NIT Meghalaya PhD Admission 2022 (July) Important Dates

Availability of  online application form in the Institute Website12-04-2022
Last date of filling online application (up to 5:00 PM)04-05-2022
Notification of Shortlisted Candidates for Ph.D Programme17-05-2022
Written Test and/or Interview31-05-2022 to 01-06-2022
Display of Selected Candidates15-06-2022

NIT Meghalaya PhD Admission 2022 (July) Application Process

Candidates have to fill the online application on NIT Meghalaya website.

Steps for application process

  • STEP-I: Pay the application fee as per category.
  • STEP-II: Fill the online application form. After submission, print out of the online application form has to be sent by email along with all supporting documents.

Application Fees

CategoryFees
General/OBC Rs. 1000/-
SC/STRs. 500
PWDNIL

Selection Procedure

  • Depending upon the number of applications received, the Institute reserves the right to fix higher eligibility criteria for shortlisting of the candidates for selection process.
  • Eligible candidates are required to appear for a written test and/or interview in respect of his/ her discipline to be conducted by the concerned Department. No TA/DA will be paid for attending test / interview.

NIT Meghalaya PhD Admission 2022 (July) Results

Selected Candidates

Shortlisted Candidates

Shortlisted candidates for PhD Programme under Full Time & Sponsored (Part Time) Category

Based on the online applications received, the initial shortlisted candidates are called for appearing the written test and/or Interview on the following date and time.

Written Test and/or Interview
31-05-2022 to 01-06-2022
Document Verification (To be conducted by the concerned dept)31-05-2022  (1st half)

Instructions to candidates

  1. Before the written test and/or interview, the candidates have to attend a document verification process to be conducted by the concerned department as per the date and time mentioned above.
  2. Only after successful verification of documents, the candidates can proceed to the written test and/or interview. Instructions and guidelines including the time and room allotted for the written test and/or interview will be mailed by the concerned department. Hence, candidates are required to check their email frequently for updates.
  3. The candidates must keep ready all their certificates, marksheets, etc during the document verification process. Those candidates in their final year have to mention properly in the summary sheet their pending documents if not yet received from the last Institute attended.
  4. Candidates should be present as per the allotted date and time. Request for rescheduling the written test and/or interview date or time will not be entertained.
  5. Candidates should filled the summary sheet and submit during the document verification process. 

Enclosures:

  1. Shortlisted List under Full Time category (Annexure I)
  2. Shortlisted List under Sponsored (Part Time) category (Annexure II)
  3. Not Recommended List under Full Time category (Annexure III)
  4. Not Recommended List under Sponsored (Part Time) category (Annexure IV)
  5. Summary Sheet (Full-time | Part-time)

Important Links

NIT Meghalaya WebsiteClick Here
Application LinkClick Here
NotificationClick Here

Previous Admissions

NIT Meghalaya PhD Admission 2021-22 (Jan)

Important Dates

Availability of  online application form in the Institute Website03-11-2021
Last date of filling online application25-11-2021
Last date for receipt of  hard copy of application by post02-12-2021
Notification of Shortlisted Candidates for Ph.D Programme06-12-2021
Online Written Test and Interview10-12-2021   to   11-12-2021
Display of Selected Candidates15-12-2021

Disciplines and Areas for PhD

For Full Time

  • Civil Engineering (CE)
    • Structural Engineering
    • Transportation Engineering
    • Geotechnical Engineering
    • Environmental Engineering
  • Computer Science & Engineering (CS)
    • Cloud computing,
    • IoT
    • Healthcare data security
    • Data Mining,
    • Machine Learning
    • Text Analytics and Big Data Analytics
    • Artificial Intelligence, Machine Learning in IoT/Bio-medical systems; IoT communication protocols
    • Big Data cloud
    • Blockchain Technology and Applications
    • Distributed computing
    • Multimedia Communication
    • Artificial Intelligence & Machine Learning
    • Biomedical image processing
    • Quantum Computing
  • Electronics & Communication Engineering (EC)
    • MEMS, Sensors and Systems;
    • Speech and Signal Processing; DNN algorithms for speech technology, Signal processing  issues in advanced communication Systems
    • RF circuit
    • Low Power VLSI Design 
    • VLSI Design
    • Reconfigurable Computing
    • Approximate Computing
    • Communication VLSI
    • Wireless communication for 6G systems
  • Electrical Engineering (EE)
    • Modelling of EHVAC Transmission Line.
    • Control of PMSM Drives & Advanced Power Converters.
    • Operation & Control of Smart Electric Grids.
    • Renewable Energy Integration and Control.
    • Cyber-attacks in Power Systems.
    • Nonlinear Systems and Chaos Control: Circuit design, Implementation and applications.
    • Big Data Analytics on Smart Electric Grid.
    • Monitoring and Protection of Power Systems.
    • Transactive Energy Markets.
    • Signal processing and Instrumentation
    • Harmonic Estimation Techniques  
  • Mechanical Engineering (ME)
    • Fluids and Thermal Engineering
    • CFD
    • Composite Materials
    • Bioheat Transfer
    • Robotics
    • Supply chain                                         
    • Refrigeration & Air conditioning                                                     
    • Solar Collection Devices
  • Physics (PH)
    • Liquid Crystal
    • Condensed Matter Physics     
    • Astroparticle Physics                  
    • Laser Matter Interactions
  • Chemistry (CY)
    • Organometallics, catalysis, organic synthesis, environmental science
    • Biophysical Chemistry, Protein Chemistry, Quantum Dots, Biocompatible Nanoparticles
    • Stimuli responsive smart materials
    • Computational Chemistry
  • Mathematics (MA)
    • Functional Analysis
    • Linear Algebra
    • Statistical Inference     

NIT Meghalaya PhD Admission 2021-22 (July)

Important Dates

Start of  online application25-03-2021
Last date for online application filling04-05-2021
Last date for receipt of hard copy of application by post18-05-2021
Shortlisted Candidates Declaration24-05-2021
Online Written Test and Interview03-06-2021
Display of Selected Candidates09-06-2021

NIT Meghalaya PhD Admission 2021-22 (July) Results

Shortlisted Candidates

Shortlisted candidates for PhD Admission Full Time

Based on the online applications received, the initial shortlisted candidates are called for appearing the Online Preliminary Written Test/Interview on the following date and time.

Preliminary written test/ interview (1st round screening)6th -7th July 2021 (depending upon the number of candidates, it may be extended by a day)                        
Document verification and Final Interview8th July 2021 (10:00 am onwards)
ModeThrough online mode (Google meet)
  • Shortlisted List under Full Time category, PhD Admission Autumn 2021.(Annexure I
  • Not Recommended List under Full Time category, PhD Admission Autumn 2021. (Annexure II
  • Summary Sheet

Shortlisted candidates for PhD Admission Sponsored-Part Time

  • Shortlisted List under Sponsored (Part Time) category, PhD Admission Autumn 2021.(Annexure I
  • Not Recommended List under Sponsored (Part Time) category, PhD Admission Autumn 2021.(Annexure II)
  • Summary Sheet (link)
Date of Interview22-06-2021 (Interview may be extended by a day depending upon the number of candidates)                        
Time of Document Verification9:30 AM – 11:00 AM (online)
Time of Interview11:00 AM onwards (online)
ModeThrough online mode (Goggle meet)

Selected Candidates

Selected candidates for PhD Admission Sponsored-Part Time

Provisionally Recommended Candidates under Sponsored (Part Time) category