PhD Position in Multiscale Rational Design and Simulation of Soft Electronics Leiden University in Netherlands

This PhD project at Leiden University tackles the challenge of designing soft electronic materials whose properties can be controlled across multiple, correlated length scales. The work sits at the intersection of chemistry, physics, biology, and materials modelling, with a strong emphasis on how molecular changes can produce non-linear or even disruptive effects in function. The successful candidate will help extend EvoMD , an existing rational design framework for coarse-grained molecular opti...

KAUST Global Postdoctoral Fellowship 2027 is an opportunity at King Abdullah University of Science and Technology for early-career researchers seeking a postdoctoral position with strong independence and support. The fellowship emphasizes designing and leading your own research project, with top-tier mentorship and access to advanced laboratory facilities. It is especially relevant for candidates in STEM fields such as biology, chemistry, computer science, materials science, physics, and related...

New postdoc opportunity in Quantum Bayesian Optimization for Molecular and Material Design at the Dutch Institute for Emergent Phenomena . The post is aimed at researchers interested in quantum optimization, machine learning, molecular design, and materials design. It appears to be a research-focused postdoctoral opening rather than a studentship or scholarship. The announcement does not list detailed eligibility criteria, funding terms, or a deadline in the text provided. Interested candidates ...

PhD opportunity at the University of Southampton in predictive models for battery interfaces , combining quantum simulations , atomistic modelling , computational chemistry , machine learning , and electrochemistry . The project focuses on the solid electrolyte interphase (SEI) , a critical region in batteries that strongly affects performance and lifetime. You will work on large-scale quantum simulations using ONETEP together with reactive AI-driven force fields to build high-fidelity models of...

This postdoctoral project at Wageningen University & Research focuses on the physical chemistry behind food ingredient functionality and on improving how it is measured across laboratories. The work addresses a clear methodological challenge in food science: analytical methods for properties such as emulsifying, foaming, and gelling functionality are often not sufficiently standardized, making comparisons between studies difficult. The successful candidate will contribute to the development, cri...