Postdoc in Physics-informed Model Discovery for Reaction-Diffusion Equations at Roskilde University

The Department of Science and Environment at Roskilde University, Denmark, is inviting applications for a 2-year postdoctoral position in Physics-informed Model Discovery for Reaction-Diffusion Equations, starting from February 1, 2026 or as soon as possible thereafter. The position is anchored in the Mathematics & Physics section (IMFUFA), which is internationally recognized for its research in mathematical modeling of biological and physical systems, with a strong emphasis on dynamical system theory and its applications in health, medicine, and green technology. The research project focuses on developing new approaches for model discovery in mathematical biology, specifically targeting reaction-diffusion systems that may be nonlocal or spatially heterogeneous. The successful candidate will integrate analytical properties and domain decomposition techniques into machine learning algorithms, generating hypotheses for scientific discussion with applied partners. The work environment is collaborative and supportive, with opportunities to mentor students and contribute to undergraduate teaching. Applicants should have a PhD in applied mathematics, scientific computing, computational engineering, or a related field. Essential skills include expertise in dynamical system theory, PDE analysis, or physics-informed machine learning, proficiency in programming languages such as Python or Julia, and strong English communication abilities. The ideal candidate will be highly organized, innovative, and able to work both independently and as part of a team. Experience in teaching and interdisciplinary collaboration is valued. The position offers full-time employment (37 hours/week) under Danish academic staff agreements. The postdoc will report to Associate Professor Cordula Reisch and collaborate within a vibrant research group. The department provides a broad research-based education in applied mathematics and scientific modeling, with a focus on societal relevance. To apply, candidates must submit a cover letter, CV, documentation of education, a complete publication list, up to five relevant scientific works, and a co-author statement if applicable. Applications must be submitted in English via the university's job portal by December 15, 2025. For further information, contact PI Associate Professor Cordula Reisch ([email protected]) or Head of Department Susanne Sørensen ([email protected]). Relevant academic keywords include physics-informed model discovery, reaction-diffusion equations, applied mathematics, scientific computing, machine learning, dynamical system theory, PDE analysis, and mathematical modeling in biology. The research group is committed to diversity and encourages applications from all qualified candidates.