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Doctoral Candidate in AI and Optimization

Eckdaten

Hochschule
Uni Zürich
Website
uzh.ch ↗
Standort
Zürich
Stellenart
PhD / Doktorandenstelle
Anstellungsart
Teilzeit
Befristung
Befristet
Bewerbungsfrist
01.12.2026
Fachgebiete
Informatik, Künstliche Intelligenz, Mathematik / Statistik, Naturwissenschaft

The 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.

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.

Requirements

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.

Benefits

Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html.

Information on your application

Please submit your complete application including:

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.

  • 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)

About us

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!

Contact

Nicole Trolese
HR Manager
nicole.trolese@uzh.ch

Um dich für diesen Job zu bewerben, besuche bitte jobs.uzh.ch.

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