Tanmoy Paul
2 weeks ago
PhD Positions in AI-Driven Battery Materials Research at TCG CREST Research Institute for Sustainable Energy (RISE), TCG CREST in
Degree Level
PhD
Field of study
Chemical Engineering
Funding
Available
Country
Research Institute for Sustainable Energy (RISE), TCG CREST
University
RISE Research Institutes of Sweden

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About this position
Two PhD positions are open in the group of Dr. Tanmoy Paul, Research Scientist and Assistant Professor at the Research Institute for Sustainable Energy (RISE) under TCG CREST, Kolkata, India. The research focus is on AI-driven discovery of next-generation battery materials, structure–property correlations using data-centric approaches, multiscale modelling bridging atomistic to continuum behaviour, and physics-informed machine learning for energy materials design.
Candidates with backgrounds in Materials Science, Mechanical Engineering, Physics, Chemical Engineering, Computational Science, or related areas are encouraged to apply. The group is part of the Materials Modelling Laboratory and is engaged in cutting-edge research at the intersection of artificial intelligence, computational modelling, and energy materials.
Applicants are invited to review the programme details and application process via the provided link. Interested candidates may also email their CV and a short statement of interest to Dr. Tanmoy Paul for an informal discussion. The group website offers further insights into ongoing research activities and interests.
This opportunity is ideal for students interested in AI, energy materials, and multiscale modelling, and offers a collaborative environment within TCG CREST, a leading research institute in India. Funding details are not specified in the announcement. Please share this opportunity with students who have relevant backgrounds and research interests.
Funding details
Available
What's required
Applicants should have a background in Materials Science, Mechanical Engineering, Physics, Chemical Engineering, Computational Science, or related areas. Candidates are expected to be motivated and interested in AI-driven discovery, multiscale modelling, and energy materials. No specific GPA, language test, or other requirements are mentioned.
How to apply
Apply via the programme details link provided. Email your CV and a short statement of interest to the supervisor for an informal discussion. Review the group website for research overview. Share with interested students.
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