Postdoctoral Research Associate in Functional Solid-State Inorganic Materials and Circularly Polarized Luminescence University of Texas at Dallas in United States

Lawrence Berkeley National Laboratory is advertising a postdoctoral position in the Energy Technologies & Systems Division in Berkeley, California, USA . The role sits in the Jain (HackingMaterials) group and the Applied Energy Materials group , working on autonomous AI-driven materials discovery and catalyst discovery across two DOE/ARPA-E projects. Research themes include building simulation agents to predict materials properties such as Li-ion conductivity , validating predictions against aut...

Maynooth University’s Department of Chemistry is advertising a fully funded PhD in coarse-grained and mesoscale modelling of polymer-hybrid anion-exchange membranes for electrochemical energy applications. The project sits at the intersection of computational chemistry , materials science , polymer physics , and chemical engineering , with a strong emphasis on multiscale simulation, structure–property relationships, and data-driven materials design. The PhD researcher will work in the SimUlation...

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, ...

Texas A&M University is recruiting a postdoc for a collaborative project supported by the Welch Catalyst for Discovery Program . The position centers on the computational design of redox-active polymers for energy storage and other functional materials . The postdoc will develop and apply high-throughput quantum chemistry , molecular dynamics , and machine learning methods to accelerate polymer discovery and help identify promising new materials with experimental collaborators. The work will inv...

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...