King's College London is offering a 2-year Postdoctoral Research Associate position in the group of Micaela Matta, Lecturer (Assistant Professor), as part of the EPSRC project 'Data-driven design of organic mixed conductors.' The research focuses on building workflows and discovering new materials using atomistic molecular dynamics (MD), density functional theory (DFT), and cheminformatics, with a strong emphasis on applying machine learning (ML) and artificial intelligence (AI) to materials discovery. The group values open and reproducible science, adhering to FAIR principles.

Applicants should have experience with atomistic MD or DFT, proficiency in Python and cheminformatics, and an interest or experience in ML/AI for materials discovery. A passion for open, reproducible science is essential. The position is fully funded by EPSRC for two years. The research environment at King's College London provides access to cutting-edge resources and a collaborative academic community.

Interested candidates are encouraged to review the job ad and reach out via email for further information. Application is through the King's College London job portal. This opportunity is ideal for candidates with a background in materials science, chemistry, and computer science who are eager to contribute to innovative research in organic mixed conductors.