Vicenç Torra
Closing soon
1 month ago
Postdoc in Data Privacy and Machine Learning at Umeå University Umeå University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 9, 2026
Country
Sweden
University
Umeå University

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About this position
Umeå University is advertising a 2-year postdoctoral position in data privacy and machine learning within the Department of Computing Science. The project focuses on privacy-aware machine learning, including data-driven models for complex and temporal data, synthetic data generation, and privacy-preserving methods at scale.
The research group, led by Prof. Vicenç Torra, works on privacy for data used in machine learning and statistical learning. Topics mentioned include differential privacy, integral privacy, k-anonymity, centralized and decentralized privacy settings, and federated learning. The group collaborates internationally and has links with both public and private sectors.
The position is full-time and funded by WASP (Wallenberg AI, Autonomous Systems and Software Program). The appointment starts on 8 January 2026 or as agreed, and the closing date is 9 August 2026.
Eligibility requires a PhD or equivalent degree in Computer Science or another relevant subject. Applicants should have documented knowledge and research experience in algorithms and methods for data privacy and machine learning. Strong English proficiency is required, and publications in venues such as NeurIPS, ICML, S&P, PETs, or ESORICS are highly meritorious.
To apply, prepare the requested documents: cover letter, CV with publication list, degree certificate or proof of expected completion, diplomas, course list and grades, thesis, up to five relevant articles, and two references. Submit the application through Umeå University’s electronic recruitment system.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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