At my newly established group at the University of Jena, Germany (supported by the Helmholtz Zentrum Berlin and the Carl Zeiss Foundation), we have multiple fully-funded Ph.D. and PostDoc positions.

Our research will be centered around using data-driven materials to reliably design and understand materials that work in the real world. We will organize our research around three main research pillars: 1) Novel inductive biases (including “soft” inductive biases via LLMs), 2) Human-in-the-loop active learning, and 3) Novel learning paradigms. We will develop robust open-source software and contribute to international research data initiatives. The PostDoc position will focus on this research data management aspect and the use of novel tools (such as LLMs) in this context.

We will closely collaborate with world-leading experimental partners to validate our predictions and build novel modeling and data frameworks.

More details (as well as information about the application process) can be found at https://kjablonka.com/openings