IISER Bhopal JRF Chemistry Recruitment 2026

IISER Bhopal JRF Chemistry Recruitment 2026: Overview

Indian Institute of Science Education and Research Bhopal (IISER Bhopal) is recruiting Junior Research Fellows (JRFs) for a Chemistry project supervised by Dr. Apurba Nandi. The project combines artificial intelligence and machine learning (AI/ML) with quantum molecular simulations to study condensed phases and chemical reaction dynamics. Your project work will connect computational chemistry with methods that learn molecular interactions from quantum-mechanical data.

Posts and Disciplines

• Chemistry and Chemical Engineering: The project focuses on molecular interactions, condensed-phase systems and chemical reactions within the Department of Chemistry.
• Physics: Quantum molecular simulations form part of the same interdisciplinary research project.
• Data Science and Computer Science: Machine learning provides the tools for developing interatomic potentials from data. These disciplines contribute to the computational side of the project.
• Related fields: The notice also includes related disciplines within this shared research opportunity. These are subject backgrounds for the JRF role, rather than separate advertised roles.

Service Conditions and Caveats

• Project tenure: The appointment is for one year. Continuation towards a PhD depends on your performance and the institute criteria. The notice does not promise automatic admission or continuation.
• Research setting: You will work at the interface of AI/ML and quantum molecular simulations. The project offers practical exposure to data-based approaches and quantum-mechanical simulations of chemically complex systems.
• Incomplete applications: The institute will not consider an incomplete application and will not respond to correspondence about it.

Application Submission Notes

Send your application by email only to Dr. Apurba Nandi at apurba@iiserb.ac.in. The contact address is the Department of Chemistry, IISER Bhopal, Bhopal 462066, and the contact telephone number is 0755-2691367.

• Develop machine-learned interatomic potentials for the project
• Apply AI/ML methods to quantum-mechanical molecular data
• Model molecular interactions using data-driven approaches
• Use learned interactions in large-scale simulations of chemically complex systems
• Study condensed-phase systems and chemical reaction dynamics through molecular simulations