Topic: Mathematical Modelling

Three postdoctoral openings in data-driven mathematical modelling, supervised by Clemens Heitzinger. Research covers reinforcement-learning theory and policy evaluation, differential-equation systems, reasoning and language models, and physical AI. Responsibilities include original research, algorithm development, publications, collaboration, mentoring and funding proposals. Two-year full-time appointments, 39 hours weekly, paid under TVöD Bund. Mobile working is available. Applications remain open until the positions are filled; submit a motivation letter, CV, certificates and supporting acad

Joe Hilton explains how health economics and mathematical modelling inform difficult decisions about healthcare resources. The conversation contrasts costly treatments benefiting small groups with interventions serving larger populations, and examines how such trade-offs are assessed. Hilton also discusses his route into research and the experience of beginning work on health policy during the COVID-19 pandemic.

Ulrich Sperhake and Seppe Staelens explain hypothetical boson stars and how researchers use mathematical modelling to investigate them. The discussion connects these unusual compact objects to black holes, gravity and gravitational-wave observations.