The CMAS Lab at the Department of Electronics and Communication Engineering, IIT Roorkee, is inviting applications for a JRF to join our growing team under the ANRF project entitled "Physics Informed Neural Operators (PINO): A Scientific Machine Learning Approach for the Extremely Fast First-Principles Monte Carlo Analysis of Nanoscale FETs".

Job Description

The JRF will be involved in the development of physics-informed machine learning paradigms such as neural networks and neural operators for the modeling and simulation of nanoscale field-effect transistors(e.g., fin-shaped FETs, nanosheet FETs, forksheet FETs, complenamentary FETs etc.). The JRF will be required to develop, train, test, and benchmark the physics-informed neural operators for the steady-state and dynamic operation of nanoscale FETs, prototype the neural operators for industrial adoption, and disseminate the research findings in scientific journals and conferences.

Who can apply?

Master's or bachelor's degree in ECE/EE/CSE or equivalent with CGPA above 7.0 (on 10.0 scale)



or percentage greater than the aggregate irrespective of category.
It is desirable for the candidate to have qualified GATE or National Eligibility Tests UGC-NET or CSIR NET including lectureship (Note: Bachelor's or master's from IITs, NITs, or any other CFTIs with a CGPA of 8.0 or above on a 10 point scale are exempt from the requirement of GATE/NET).
Sound knowledge of governing physics and mathematics of nanoscale semiconductor devices.
Solid background in machine learning with special focus on neural network training and testing.
Experience with first-principle electronic design automation tools such as TCAD for physics-based modeling of semiconductor devices.
Expertise with SPICE-compatible circuit model development of semiconductor devices.
Experience with Python/MATLAB coding.

Emoluments

Rs. 37,000/month

Application Process

Candidates before appearing for the interview shall ensure that they are eligible for the

📌 Junior Research Fellow Opening at CMAS Lab, IIT Roorkee
🏢 CMAS Lab
📍 Roorkee