Doctoral Candidate in AI and Optimization

Department of Mathematical Modeling and Machine LearningDoctoral Candidate in AI and Optimization 80 %Start of employment 1st of March 2026 or by agreement, temporaryThe Department of Mathematical Modeling and Machine Learning (DM3L) at University of Zurich is seeking applications for a Doctoral Candidate in AI and Optimization.We offer an exciting and stimulating environment to study and work in.Your responsibilitiesThe successful candidate will work on a project in the AI and Optimization Lab with Prof. Anastasia Koloskova. The emphasis of the doctoral project is on the intersection of theory and practice in areas such as distributed optimization, federated learning, machine learning, privacy, or unlearning.Your profileWe 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 understandingexperience in programming, preferably in Pythonprior experience in related topics, such as machine learning, optimization, or privacyFurthermore, the candidate should be fluent in English, both written and spoken.Information on your applicationPlease submit your complete application incuding:motivation lettercurriculum vitaeschool and university score recordscontact details of at least two refereesvia the link below. The deadline for applications is 31st of December 2025 and the desired starting date is 1st of March 2026 or by agreement, temporary. Selection will start immediately, so early submissions are encouraged.LocationDepartment of Mathematical Modeling and Machine Learning Winterthurerstrasse 190, 8057 Zürich, SwitzerlandFurther informationQuestions about the jobProf. Anastasia KoloskovaProfessorQuestions about the application procedureNicole TroleseHR Manager