Research Assistant (PhD position) (f/m/d)

Stellenbeschreibung

Large-scale geophysical climate models are based on subgrid-scale models and subgrid parametrizations. These compensate for lacking resolution in measurements as well as missing calculations for long-time simulations. The goal of this project is to bring together mathematics and observations to increase understanding of the process, create reduced models for the observed anomalous diffusion in drifter experiments, and embed these in a larger mathematical context.

For this project, we are seeking a researcher (f/m/d) with great interest in mathematical analysis and its implications for climate modeling. The selected applicant will work at the Institute for Dynamical Systems, which is led by Prof. Dr. Marc Keßeböhmer and Prof. Dr. Anke Pohl (both members of MARUM’s TRR181) in Faculty 3 – Mathematics at the University of Bremen. The completion of a PhD degree as part of this project is desired. The project work will take place in close collaboration with Dr. Maxim Kirsebom (Faculty of Mathematics, University of Bremen), Dr. Maren Walter (Institut for Environmental Physics and MARUM, University of Bremen), Dr. Alexa Griesel and Dr. Julia Dräger-Dietel (Institute of Oceanography, Universität Hamburg).

You will be a member of the research training group ENERGY in the collaborative research center TRR181, which is spread across leading locations for climate research in Germany and offers a tailored course and mentoring program as well as career training. The TRR181 also supports international conference visits and longer research stays.

Your tasks include

• Supporting the research group in developing and expanding the research focus
• Supporting the research group with the organization of workshops and conferences
• Supporting organizational tasks of the TRR
• Teaching courses in the subject mathematics

Voraussetzungen

• Completed scientific university degree (master’s degree/university diploma or comparable) in mathematics with a focus on the theory of dynamical systems or similar area,
• Solid knowledge of analysis, functional analysis and probability theory,
• Strong interest in climate modeling and oceanography
• Applicants should be proficient in English, have very good academic writing skills, and enjoy working in an international and interdisciplinary team and environment.