BSc/MSc semester project in Computational Physics and Machine Learning

Project Topics

• First Principles and DFT based study of MXene.
• Materials discovery using machine learning.

Eligibility

• Minimum 70% in the last university exam.
• Ongoing Bachelor’s or Master’s degree (or equivalent) in Physics, Materials Science, Chemistry, or Computer Science.
• Strong background and theoretical understanding of materials science or numerical methods.
• Experience in Python programming is a plus.

Responsibilities

• The applicants should be enthusiastic and motivated. (S)He should be able to take forward the project.
• The students will work on one of the following areas:
• Machine learning aided material discovery
• First principle calculations on 2D materials and molecules for applications like green hydrogen and magnetocaloric materials.

Application

Interested candidates should fill out this form.

Last date of application

For project submission on 2026, apply for the position before January 30, 2025