Vicenç Torra

This two-year postdoctoral position at Umeå University is based in the Department of Computing Science , an international research and teaching environment with strong connections to national and international research networks. The appointment is part of the Privacy-aware transparency decisions research group, led by Professor Vicenç Torra , and the work is embedded in a broader environment connected to WASP , WASP-HS , and eSSENCE . The project focuses on developing privacy-aware models for machine learning . The postdoctoral researcher will work on data-driven models for complex data, including temporal data, and on models built from synthetic data. The research emphasizes privacy metrics and models such as differential privacy, integral privacy, and k-anonymity, as well as centralized and decentralized data scenarios. For decentralized settings, the project includes federated learning and investigates privacy-preserving machine learning at scale. The host group studies the fundamental principles needed to build privacy-aware AI systems and develop algorithms for these aims. It collaborates with several national and international research groups, contributes to the field through editorial work in data privacy, and maintains active contacts with both industry and the public sector. The position offers the chance to contribute to research at the intersection of machine learning, privacy, and secure data-driven modeling within a highly international academic setting. The position is funded by WASP and starts on 12 January 2027, or by agreement.

Umeå University in Sweden 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 for centralized, decentralized, and federated settings. The research group is the Privacy-aware transparency decisions group led by Prof. Vicenç Torra . The group works on data privacy for machine and statistical learning, with interests in differential privacy, integral privacy, k-anonymity, and scalable privacy-preserving AI systems. The position is linked to WASP (Wallenberg AI, Autonomous Systems and Software Program), a major Swedish research initiative. Eligibility highlights: applicants must hold a PhD or equivalent degree in Computer Science or another relevant subject; the doctorate should normally have been completed within the last three years. Documented research experience in privacy and machine learning is required, and publications in top venues such as NeurIPS, ICML, S&P, PETs, or ESORICS are highly meritorious. Strong English proficiency is required. Funding and terms: the appointment is full-time for two years and is funded by WASP. The post is a temporary employment at Umeå University; no stipend amount is stated. Application window: the deadline is 9 August 2026 . Applicants must submit a cover letter, CV with publication list, doctoral degree documentation, diplomas, course list and grades, thesis, up to five relevant articles, and two references through the university’s electronic recruitment system.

Umeå University, one of Sweden’s largest higher education institutions, is offering a two-year postdoctoral position in data privacy and machine learning, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The position is based in the Department of Computing Science, which is known for its inclusive and dynamic research environment and strong international collaborations. The successful candidate will join the Privacy-aware transparency decisions research group, led by Professor Vicenç Torra, focusing on developing privacy-aware machine learning models for complex and high-dimensional data, including temporal and synthetic data. Research topics include differential and integral privacy, k-anonymity, privacy in centralized and decentralized (federated learning) scenarios, and privacy-preserving machine learning at scale. The group is actively involved in national and international collaborations and edits a leading journal in data privacy. Applicants must hold a PhD in Computer Science or a closely related field, with documented research experience in designing algorithms and methods for data privacy and machine learning. Publications in top venues such as NeurIPS, ICML, S&P, PETs, or ESORICS are highly valued. Excellent written and spoken English is required. The position offers a full-time contract, starting 1 April 2026 or as agreed, with a competitive monthly salary and comprehensive support for career development. To apply, candidates should prepare a cover letter, CV with publication list, verified degree certificates, academic transcripts, doctoral thesis, up to five relevant articles, and contact information for two references. Applications must be submitted in English or Swedish via the university’s electronic recruitment system by 3 February 2026. For further details, contact Professor Vicenç Torra at [email protected]. Umeå University is committed to equal opportunity and welcomes applicants from diverse backgrounds. The university is located in Umeå, Sweden, and offers a vibrant academic community with excellent research facilities and opportunities for interdisciplinary collaboration.