Postdoctoral Research Associate in Polymeric Materials Modelling (Cellulose, Machine Learning, Molecular Dynamics) University of Manchester in United Kingdom

Postdoctoral Research Associate in Polymeric Materials Modelling at The University of Manchester . This fixed-term, full-time postdoctoral role is based in the Department of Materials and focuses on the molecular modelling of cellulose oligomers , the self-assembly of cellulose in the plant cell wall, and related plant cell wall polymers. The project combines computational chemistry , materials science , machine learning , molecular dynamics simulations , and high performance computing (includin...

Aditya Nandy, Assistant Professor of Chemical and Biomolecular Engineering at the University of California, Los Angeles (UCLA), is recruiting up to 2 PhD students for the Molecular Modeling Laboratory starting Fall 2027. The group works on molecular modeling and computational research spanning physics-based and data-driven methods, including quantum chemistry, molecular dynamics, continuum modeling, and generative AI. Research interests include AI for chemistry, computational chemistry, multi-sc...

📢 Kiel University in Germany is advertising a postdoctoral research scientist position in Computational Materials Design, Molecular Modeling, and Machine Learning within the Chair for Bioinspired Materials and Biosensor Technologies . The project sits at the intersection of materials science , chemistry , computer science , and related interdisciplinary areas. Research topics include molecular mechanics (MM) , molecular dynamics (MD) , QM/DFT , molecular modeling , biomolecular recognition , AI/...

Lawrence Berkeley National Laboratory is recruiting a Postdoctoral Researcher in Scientific Machine Learning & Computational Chemistry within the Applied Mathematics and Computational Research Division. This postdoctoral opening sits at the intersection of machine learning, computational chemistry, computational physics, and scientific software development . The research focuses on physics-informed and symmetry-aware models for excited-state simulations, including equivariant graph neural networ...

PhD opportunity at the University of Liverpool in Discovery of Pb-free solders for use in the glass industry . This project sits at the intersection of chemistry , materials science , and computer science , with a strong emphasis on machine learning , computational chemistry , inorganic chemistry , and synthetic chemistry . Working with a major industrial partner, the successful candidate will build databases of alloy melting points, develop predictive ML models for Pb-free solder compositions, ...