Department of Mathematical Modeling and Machine Learning
Doctoral Candidate in AI and Optimization 80 %
Start of employment Start of employment is in fall 2027. Earlier starting dates such as spring 2027 are possible 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 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 theory, or the intersection of theory and practice in areas such as optimization for machine learning, privacy, unlearning, distributed optimization or federated learning.
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:
Furthermore, the candidate should be fluent in English, both written and spoken.
- 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.
Information on your application
Please submit your complete application including:- motivation letter
- curriculum vitae (please include your GPA in the CV)
- school and university score records
- contact details of at least two referees (please make sure they have agreed on writing a reference letter prior to listing them)
via the link below. The deadline for applications is 1st of December 2026 and desired starting date is in fall 2027, earlier starting dates such as spring 2027 are also possible by agreement. The position is offered on a fixed-term basis for a maximum period of four years. Selection will start immediately, so early submissions are encouraged.
What we offer
Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html.
What we offer
Further information
Questions about the job
Anastasia Koloskova Professor
Contact Form
Thank you for your message. We will get back to you shortly.
Questions about the application procedure
Nicole Trolese HR Manager
Contact Form
Thank you for your message. We will get back to you shortly.
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!
More → https://www.uzh.ch/en/explore/work.html
Please apply via the link.
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!
More → https://www.uzh.ch/en/explore/work.html
Please apply via the link.
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!
More
