The research training group π³, funded by the German Science Foundation DFG since 2016, focuses on problems in parameter identification which are at the core of a large variety of applications in natural sciences, life sciences, and engineering as well as in industrial applications. This rich field of science presents a multitude of challenges in several fields of mathematical and applied research. More precisely, the endeavor to develop, analyze and optimize models and algorithms for deterministic parameter identification problems, which are formulated as high-dimensional minimization problems for non-linear functionals, is the guiding principle of this RTG.
There are 10 Ph.D. open positions to start in October 2022. The students are expected to form an international, diverse, and multi-cultural group that fits optimally to the stimulating, international, and pleasant work environment provided by the principal investigators and researchers of π³. Gender equality will be given special emphasis within this research training group—female researchers are especially invited to apply.
Application deadline: April 25, 2022
The RTG π³ is a collaborative project between mathematicians of the Center for Industrial Mathematics (ZeTeM), mathematicians in analysis, topology, and statistics, and applied scientists at the University of Bremen. It offers a multifaceted qualification program in applied mathematics and scientific computing, including research, stays at partner institutions abroad, annual summer schools, and training workshops. A structured study program, built on individual competencies of the Ph.D. students, helps to close possible gaps in the first year and allows the students to reach the forefront of mathematical research in the shortest time. A sophisticated supervision concept, including the principal investigator, a Ph.D. advisory committee, and, in particular, study groups of Ph.D. students working on related topics and aiming at the same challenges, supports the candidates to succeed with their research and Ph.D. thesis within 3 years.