Postdoctoral Researcher on hybrid AI-optimization modelling ETH Zürich in Switzerland

The Energy Science Center (ESC) at ETH Zürich is seeking a highly qualified and motivated Postdoctoral Researcher to join its interdisciplinary team working at the forefront of hybrid AI-optimization modelling. This position is embedded within the Nexus-e group, with close collaboration with the ETH AI Center and the Reliability and Risk Engineering Lab. The research focus is on designing AI-based surrogates for large-scale energy system models, aiming to advance the development of high-fidelity emulators for energy system optimization.

As a Postdoctoral Researcher, you will lead the design and implementation of innovative methods such as Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs). You will contribute to the strategic direction of the research, publish high-impact work in leading journals, and present findings at international conferences in energy systems and machine learning. The role also involves collaboration with industry partners to address practical challenges in energy system modelling.

Applicants must hold a PhD or Doctoral degree in Energy Systems, Computer Science, Applied Mathematics, or a related field focused on the intersection of machine learning and optimization. Essential qualifications include proven expertise in surrogate modelling, advanced programming skills in Python (with experience in PyTorch, Pyomo, Xarray, and Pandas), and a strong publication record in peer-reviewed journals. MATLAB knowledge is desirable but not mandatory. Candidates should demonstrate the ability to work effectively in interdisciplinary and multicultural teams, bridging data science and energy engineering. Proficiency in English is required.

ETH Zürich offers a dynamic and inclusive research environment, competitive salaries according to ETH standards, numerous benefits, and flexible, family-friendly working conditions. The initial contract duration is one year, with the possibility of extension based on continued funding and performance. ETH Zürich values diversity, sustainability, and equality of opportunity, fostering a climate-neutral future and a fair, open environment for all staff and students.

To apply, submit your application online via the ETH application portal. Required documents include a letter of motivation (maximum one page), CV with publications, and two key outputs (such as publications, software code, or projects). Applications submitted via email or postal services will not be considered. For further information, contact Dr. Jonas Savelsberg, Head of the Nexus-e group, at [email protected].

ETH Zürich is one of the world’s leading universities specializing in science and technology, renowned for excellent education, cutting-edge research, and direct transfer of new knowledge into society. Located in Zurich, Switzerland, the university provides a vibrant environment for over 30,000 people from more than 120 countries, promoting independent thinking and excellence. Join ETH Zürich to contribute to impactful research and positive societal change.