The goal is to develop numerical methods that allow for the material-specific description of (strong) correlation effects in structurally complex systems. To this end, so-called “downfolding” algorithms will be applied and further developed to derive minimal many-body models. Building on this, these models will be analyzed using appropriate numerical treatments (“solvers”) to investigate, among other things, (unconventional) magnetic and/or optical properties of magnetic van der Waals materials and in particular mesoscale engineered CrSBr.

Tasks:

• theoretical scientific work/research on (strongly) correlated materials (95 %)
• participation in self-governance tasks (5 %) 

Employment is conducive to scientific qualification and provides the opportunity for further academic development.

• salary according to Remuneration level 13 TV-L
• befristet (2 years) (§ 2 (1) sentence 2 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
• Vollzeit

• internal and external training opportunities
• variety of health, consulting and prevention services
• reconcilability of family and work
• flexible working hours
• supplementary company pension

• completed university degree (Master or equivalent) in Physics
• completed PhD in Theoretical Solid-State Physics
• experience in the ab initio (material-specific) description of materials, for example using density functional theory and/or GW theory
• experience in applying downfolding methods, for example cRPA, mappings to minimal spin models, or comparable approaches
• good command of written and spoken English
• extensive knowledge of Theoretical Solid-State Physics
• ability to work independently, take initiative, and demonstrate commitment
• ability to work effectively as part of a team

• experience in describing electronic, optical, and/or magnetic correlation effects (e.g., using GW, BSE, DMFT, or magnetic simulations)
• experience in ab initio descriptions of magnetic materials
• experience in programming in Python and/or C++ and/or Fortran
• experience working with high-performance computer systems
• experience supervising bachelor’s and master’s theses
• experience supervising exercises/tutorials
• Knowledge of TRIQS or similar frameworks
• Knowledge of academic self-administration

We are looking forward to receiving your application. To apply, please preferably use our online form via the application button below.