Voir les opportunités
Se connecter
Votre espace de travail Enregistrez des opportunités et suivez l'avancement de vos candidatures.
Doctorat Actif Anglais
Vérifié Source officielle

Détails de l’opportunité

Doctoral Candidate in AI and Optimization

Date limite de candidature
December 1, 2026
Durée du contrat
Temporary
Type de contrat
Part time
Type de poste
Doctorat
Date de publication
October 26, 2026
Département
Department of Mathematical Modeling and Machine Learning
E-mail de contact
managernicole.trolese@uzh.ch
Domaine de recherche
Artificial intelligence
Résumé Explicify

Résumé de l'offre

The University of Zurich invites applications for a Doctoral Candidate position in AI and Optimization within the Department of Mathematical Modeling and Machine Learning. Reporting to Prof. Anastasia Koloskova, the role focuses on theoretical or practical research in optimization for machine learning, privacy, unlearning, distributed optimization, or federated learning. The position is part-time at 0.8 FTE, with employment starting in fall 2027, though earlier dates may be agreed upon. Candidates must hold an excellent M.Sc. in Computer Science, Applied Mathematics, or a related field, demonstrating strong mathematical understanding and Python programming skills. Fluency in English is required. The contract is fixed-term for up to four years. Applicants should submit their motivation letter, CV with GPA, score records, and referee contacts by December 1, 2026.

Généré à partir du contenu enregistré de l'offre. Vérifiez toujours les détails dans l'annonce officielle.

Description du projet

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, temporary

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.

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:

  • 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.

What we offer

Work-Life Balance

  • Flexible working models (such as part-time positions, mobile working, job-sharing)
  • Childcare at the kihz foundation of UZH and ETH



More

Learning and Development

  • Wide range of continuing education courses of UZH and the Canton of Zurich
  • Language Center run jointly with ETH Zurich


More

Food

  • Food and drinks at reduced prices in the UZH cafeterias
  • Lunch-Check-card with UZH contribution


More

Healthcare

  • Special conditions on the Academic Sports Association ASVZ
  • Free seasonal flu vaccinations
  • Rest and relaxation at the quiet room in the university tower


More

Discounts

  • Private traffic: Carsharing, rent a vehicle, parking space
  • Digitalization: Hardware, software, mobile phone subscriptions


More

Conditions of Employment

  • Policies of the UZH
  • Most UZH staff are employed according to public law



More

International Services

  • Support for people from outside Switzerland


More

Campuses

  • Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
  • Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg


More

Location

Department of Mathematical Modeling and Machine Learning

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 →

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


Contact académique

Prof. Anastasia Koloskova Department of Mathematical Modeling and Machine Learning managernicole.trolese@uzh.ch
Last Update University of Zurich jobs.uzh.ch
Retour en haut
0%