Postdoctoral Research Associate in Computational Chemistry and Machine Learning at University of Oxford University of Oxford in United Kingdom

The University of Oxford, through the group led by Associate Professor Fernanda Duarte, is recruiting for a Postdoctoral Research Associate position in the field of computational chemistry. The group focuses on reaction modelling, machine learning interatomic potentials (MLIPs), and scientific software development, offering a dynamic research environment at the intersection of chemistry and computer science. This opportunity is ideal for candidates with expertise in computational chemistry, machine learning, and software engineering, who are interested in advancing research in chemical modelling and the development of scientific tools.

The position is based in the Department of Chemistry at the University of Oxford, a world-leading institution renowned for its research excellence. The successful candidate will join a collaborative team working on cutting-edge projects in computational chemistry and machine learning, contributing to the development of new methodologies and software for chemical research. The group values interdisciplinary skills and encourages applications from candidates with strong programming backgrounds and experience in relevant research areas.

Applicants should hold a PhD in chemistry, computational chemistry, computer science, or a related discipline. Experience in reaction modelling, MLIPs, or scientific software development is highly desirable. The ability to work effectively in a team and contribute to collaborative research projects is essential. The position offers a competitive salary and the opportunity to work in a stimulating academic environment with access to state-of-the-art resources.

The application deadline is 18 March 2026. Interested candidates should review the detailed job description and apply via the Oxford Chemistry job portal. For more information about the research group and ongoing projects, visit the provided links.