Junior Research Fellow (JRF) Recruitment 2026

Junior Research Fellow (JRF) Recruitment 2026 – Apply for AI-Enabled Semiconductor Computing Research Project

Applications are invited for the position of Junior Research Fellow (JRF) under a cutting-edge research project focused on Bayesian Learning-Augmented Design of Reliable In-Memory Computing Systems using Unreliable Ferroelectric FETs for Edge Applications. The project offers an exciting opportunity for candidates interested in Semiconductor Devices, AI/ML, Machine Learning Hardware, In-Memory Computing, and Edge Computing Technologies.

Selected candidates will receive a fellowship as per government norms and may also have the opportunity to pursue a Ph.D. subject to institute regulations.

Position Details

Project Title

Bayesian Learning Augmented Design of Reliable In-Memory Computing Using Unreliable Ferroelectric FETs for Edge Applications

The project focuses on the development of intelligent and reliable in-memory computing architectures using ferroelectric field-effect transistors (FeFETs), leveraging Bayesian learning and machine learning techniques for next-generation edge computing applications.

Eligibility Criteria

Candidates fulfilling any one of the following qualifications may apply:

Option 1

• M.Tech./M.E. in:

  • VLSI

  • Microelectronics

  • Semiconductor Devices

  • Artificial Intelligence & Machine Learning (AI-ML)

  • Or related disciplines

with experience in semiconductor devices and AI/ML tools.

Option 2

• M.Sc. with a valid GATE/NET qualification.

Option 3

• GATE-qualified candidates with B.Tech./B.E. in:

  • Electronics and Communication Engineering (ECE)

  • Or related disciplines.

Preferred Qualifications

Preference will be given to candidates having knowledge of:

• AI/ML methodologies

• Python programming

• Electronic Design Automation (EDA) tools

• Semiconductor device modeling

• Machine learning applications in hardware systems

Preferred Skills

The ideal candidate should possess one or more of the following skills:

• Knowledge of semiconductor devices

• Programming proficiency in Python and MATLAB

• Experience with machine learning techniques

• Understanding of hardware accelerators and in-memory computing architectures

• Familiarity with data analysis, optimization, and model development using PyTorch

• Strong analytical and computational problem-solving skills

Fellowship & Benefits

The selected candidate will receive:

• INR 37,000 per month fellowship for the first two years.

• INR 42,000 per month fellowship during the third year.

• Opportunity to work on advanced semiconductor and AI hardware research.

• Exposure to interdisciplinary research in machine learning and electronic systems.

• Possibility to enroll in a Ph.D. program as per institute norms.

• Access to state-of-the-art research facilities and mentorship.

Research Areas

The project lies at the intersection of:

• Semiconductor Devices

• Ferroelectric FETs (FeFETs)

• In-Memory Computing

• Edge AI

• Machine Learning Hardware

• Bayesian Learning

• Artificial Intelligence

• Hardware Accelerators

• Neuromorphic and Emerging Computing Systems

Selection Process

The selection process may include:

1. Screening of applications.

2. Evaluation of academic credentials and research background.

3. Online interview.

4. Assessment of technical knowledge and research aptitude.

Important Date

This JRF position offers an excellent opportunity for highly motivated candidates interested in AI-driven semiconductor technologies, in-memory computing, machine learning hardware, and edge computing systems. Candidates with strong academic backgrounds and relevant technical expertise are encouraged to apply and contribute to next-generation intelligent computing research.