Doctoral Candidate In Ai And Optimization

Vor 6 Tagen


Zürich, Schweiz Universität Zürich Vollzeit

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 (. 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.What we offerOur employees benefit from a wide range of attractive offers. More LocationDepartment of Mathematical Modeling and Machine LearningInformation 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 Decemberand the desired starting date is 1st of Marchor by agreement, temporary. Selection will start immediately, so early submissions are encouraged.Further informationQuestions about the jobProf. Anastasia KoloskovaProfessorWorking at UZHThe 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 jida054630a jit1249a jiy25a



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