Doctoral Candidate in AI and Optimization

Your responsibilities

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 on the intersection of theory and practice in areas such as distributed optimization, federated learning, machine learning, privacy, or unlearning.

Your profile

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.

What we offer

Our employees benefit from a wide range of attractive offers. More

Location

Department of Mathematical Modeling and Machine Learning

Information on your application

Please submit your complete application incuding:

• motivation letter
• curriculum vitae
• school and university score records
• contact details of at least two referees

via 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.

Further information

Questions about the job

Prof. Anastasia Koloskova
Professor

Working at UZH

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!