Postdoctoral Researcher on hybrid AI-optimization modelling
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ETH Zurich recherche un Postdoctorant en modélisation hybride AI-optimisation.
Tâches
- Développer des émulateurs d'optimisation des systèmes énergétiques.
- Concevoir des méthodes innovantes comme les réseaux de neurones.
- Publier des recherches et collaborer avec des partenaires industriels.
Compétences
- Doctorat en systèmes énergétiques ou informatique requis.
- Expertise en modélisation et architectures neuronales.
- Compétences avancées en programmation Python.
Postdoctoral Researcher on hybrid AI-optimization modelling
Eidgenossische Technische Hochschule Zürich, ETHZ
Workplace
Zurich
- Zurich region - Switzerland
Category
Environment | Computer Science
Position
Senior Scientist / Postdoc
Published
23 March 2026
Postdoctoral Researcher on hybrid AI-optimization modelling
100%, Zurich, fixed-term
The Energy Science Center (ESC) at ETH Zurich is an interdepartmental competence centre that facilitates energy research and teaching activities across research fields and departments, and promotes outreach and public visibility of energy research at ETH Zurich. We are seeking a highly qualified and motivated Postdoctoral Researcher to join our team working at the forefront of hybrid AI-optimization modelling. This position focuses on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close links to the ETH AI Center and the Reliability and Risk Engineering Lab .
Job description
- Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization models
- Lead the design and implementation of innovative methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs)
- Contribute to the strategic direction of research
- Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning
- Collaborate with industry partner to tackle challenges of practical relevance
Profile
Interested candidates should meet the following requirements to be eligible for the position:
- A PhD or Doctoral degree in Energy Systems, Computer Science, Applied Mathematics, or a field focused on the intersection of Machine Learning and Optimization
- Proven expertise in surrogate modelling, specifically in designing neural architectures for emulating constrained optimization problems
- Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement
- A strong track record of publications in peer-reviewed journals involving advanced emulation or physics-aware AI
- Demonstrated ability to work effectively in interdisciplinary and multicultural research teams, bridging the gap between data science and energy engineering
- Proficiency in English is required
Workplace
We offer
- A young, dynamic and interdisciplinary research team addressing energy system challenges.
- An attractive research position in high-impact projects, at one of the world’s leading universities with a central workplace in Zurich.
- Competitive salaries paid according to ETH standards .
- Numerous benefits and flexible, family-friendly working conditions.
- Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
The planned duration of the initial contract is one year, to be extended based on continued funding and successful performance.
Working, teaching and research at ETH Zurich
We value diversity and sustainability
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future .
Curious? So are we.
We look forward to receiving your online application with the following documents:
- A letter of motivation (max one page)
- CV, including publications
- Two key outputs (these could be publications, software code, projects, etc)
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
For further information please contact Dr. Jonas Savelsberg, Head of the Nexus-e group via e-mail (jsavelsberg@
esc.ethz.ch). More information about the Energy Science Center is available on ur website .
Apply online now
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
More information
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