Vicenç Torra

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 vtorra@cs.umu.se. 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.

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.

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.