Umeå University
Closing soon
4 days ago
Postdoctoral position in data privacy and machine learning 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
Postdoctoral position in Data Privacy and Machine Learning at Umeå University, Sweden.
The Department of Computing Science at Umeå University is recruiting a 2-year postdoctoral researcher to work on privacy-aware machine learning, including data-driven models for complex and high-dimensional data, temporal data, synthetic data, and privacy-preserving methods at scale.
Research themes include differential privacy, integral privacy, k-anonymity, centralized and decentralized privacy settings, and federated learning. The position is embedded in the Privacy-aware transparency decisions research group led by Prof. Vicenç Torra, with links to the broader WASP ecosystem and collaborations in privacy, AI, and statistical learning.
Funding: The position is funded by WASP and is a full-time temporary appointment for two years.
Eligibility highlights: Applicants must hold a PhD (or equivalent) in Computer Science or a closely related field by the appointment decision date. Recent PhD graduates are prioritized, and strong documented experience in algorithms and methods for data privacy and machine learning is required. Very good English skills are required; publications in top ML/security/privacy venues are highly meritorious.
Application window: Deadline is 2026-08-09. Apply through the university’s electronic recruitment system and include a cover letter, CV with publication list, degree documentation, transcripts, thesis, up to five relevant articles, other supporting documents, and two references.
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.
More information can be found here
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