Professor of Mathematical Foundations of AI for Science and Engineering

About the role

ETH Zurich is creating a new campus in Heilbronn and seeks a tenured professor to lead research and teaching in the Mathematical Foundations of AI for Science and Engineering, also known as Scientific Machine Learning.

Key responsibilities

• Establish and manage a high‑impact research group focused on advanced AI and machine‑learning methods for scientific and engineering applications.
• Co‑develop and deliver an internationally visible teaching programme, using modern pedagogical approaches and teaching in English.
• Supervise PhD students, post‑doctoral researchers and early‑career scientists.
• Collaborate with academic, industrial and societal partners in Germany, Switzerland and worldwide.
• Engage in knowledge and technology transfer activities while maintaining close ties with ETH Zurich in Switzerland.

Required profile

• Doctorate in Mathematics, Computer Science, Engineering or a closely related field.
• Outstanding research record in machine learning, AI or scientific computing.
• Demonstrated leadership in building research teams and securing external funding.
• Experience in interdisciplinary collaboration and a commitment to diversity and inclusion.

Required skills

• Machine Learning
• Artificial Intelligence
• Scientific Machine Learning
• Mathematical modelling and analysis

What we offer

• Permanent tenured faculty position at a world‑leading university.
• Opportunity to shape a new campus culture from the outset.
• Access to a vibrant digital innovation ecosystem and strong industry connections.
• Support for dual‑career couples and family‑friendly policies.