Post-doctoral Fellow in AI-Based Design of de novo Protein-Semiconductor Functional Materials Lund University in Sweden

Lund University is seeking a postdoctoral fellow to develop AI-designed protein–semiconductor two-dimensional metamaterials and functional nanoscale materials. The project explores de novo proteins as programmable construction systems that can organize semiconductor materials into periodic structures with molecular-scale control. The research combines AI-based protein design, computational bioinformatics, protein expression and self-assembly, semiconductor nanotechnology, solid-state physics, an...

This postdoctoral fellowship at Lund University focuses on AI-based protein design and synthetic biology for the creation of programmable living materials. The project is centered on the de novo design of protein biofilm systems , bringing together computational protein engineering and experimental biology to create new molecular functions and control how living materials form, organize, and perform. The research spans both theory and experiment. The fellow may work on AI-based protein design me...

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...

Chalmers University of Technology in Gothenburg, Sweden, invites applications for a fully funded doctoral student position in perovskite materials for hydrogen production by redox reactions. The project, Enabling Negative Emissions with Hydrogen Production by Advanced Chemical Looping (ENHANCE) , is part of a pan-European consortium funded through the Clean Energy Transition Partnership. The research aims to develop novel perovskite oxides with thermochemical properties suitable for hydrogen pro...

PhD opportunity at SciLifeLab with Juliette Griffié, Assistant Professor and CMCB group leader, focused on the frontier of generative AI , interpretable machine learning , and biology . The project aims to develop next-generation AI methods and use them to uncover new biological mechanisms by integrating multimodal and multiplexed data, including microscopy data and related biological measurements. This is a strong fit for students interested in computational biology, AI for science, and data-dr...