The Institute for Nuclear Physics in the Faculty of Physics at the University of Münster, Germany, is seeking to fill the position of a

Become part of the ErUM-SESAM project and work on Newtonian noise in underground gravitational wave detectors such as the Einstein Telescope (ET), a planned third-generation gravitational wave detector and European flagship project:

• This position is tied to working towards a doctorate;
• Active participation in the simulation and modelling of Newtonian noise for underground gravitational wave detectors such as the Einstein Telescope;
• Performing numerical simulations of seismic wave propagation and Newtonian noise using tools such as SPECFEM3D and COMSOL Multiphysics;
• Development and testing of simplified and complex cavern geometries (e.g., spherical, cubic, realistic underground structures) to investigate the dependence of Newtonian noise on structure and mirror position;
• Investigating the possibility of integrating machine learning methods, including physics-informed neural networks (PINNs), to accelerate simulations and optimize underground configurations;
• Preparation of reports, presentations, and scientific publications of research results in journals and at conferences;
• Participation in teaching and supervision of students (bachelor's and master's theses) in related research topics

• A completed university degree (master's or equivalent) in physics, geophysics, or a related field;
• Experience in numerical simulations (e.g., wave propagation, finite element modeling, or comparable computer-aided methods);
• Good programming skills in Python and/or C/C++;
• Good written and spoken English skills for collaboration in an international research team;
• Knowledge in the field of machine learning, in particular physics-informed neural networks (PINNs) or related AI-based modelling approaches, is an advantage;
• A high degree of motivation, initiative, and scientific curiosity, as well as the ability to work both independently and in an interdisciplinary team;
• Strong communication and collaboration skills

• Appreciation, commitment, openness and respect – values which are important to us.
• If you have family members or young children in your care, our Family Service Office offers concrete support to help you balance your private and professional responsibilities.
• As an educational institution, we are deeply committed to offering occupational training and continuing education opportunities tailored to your individual needs.
• As a university employee, you are entitled to numerous benefits afforded to public servants, e.g. an attractive company pension scheme (VBL), an annual end-of-year bonus and a position that is shielded from economic fluctuations.