-
10 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other Physics
-
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
-
Publications in top ML conferences and/or prominent journals in materials sciences and device physics Enjoy collaborating with other researchers in a friendly environment Be willing to supervise junior PhD and
-
Zurich, PSI, and international partners More information about the project and the group can be found on our website . Starting date: flexible in 2026 Employment: full-time Profile PhD in physics or a
-
involve teamwork, including coordination with PhD students and other postdoctoral researchers. It is important to demonstrate the spirit of collaboration without compromising research independence. Your
-
background Many small riverine organisms rely on flow‑mediated processes to complete their life cycles. One such process is drift, a fundamental mechanism of downstream dispersal for aquatic invertebrates and