Doctoral Candidate in AI and Optimization

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! Aufgaben: The successful candidate will work on a project in the AI and Optimization Lab with Prof. Anastasia Koloskova. The emphasis of the doctoral project is theory, or the intersection of theory and practice in areas such as optimization for machine learning, privacy, unlearning, distributed optimization or federated learning. Anforderungen: We are looking for candidates with an interest in performing innovative research, strong motivation, and an interest in optimization, federated learning, machine learning, privacy, or unlearning. An ideal candidate will have: an excellent degree (M.Sc. or equivalent) in Computer Science, Machine Learning, Applied Mathematics or a related field (e.g. Electrical Engineering) • strong mathematical understanding • experience in programming, preferably in Python • prior experience in related topics, such as machine learning, optimization, or privacy Furthermore, the candidate should be fluent in English, both written and spoken. Wir bieten: Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html. Stellenantritt: Start of employment is in fall 2027. Earlier starting dates such as spring 2027 are possible by agreement Pensum: Half-time

Bewerbungsfrist (laut Anzeige): 01.12.2026