Postdoctoral Researcher (2 years) in Data Privacy and Machine Learning

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Umeå University is one of Sweden's largest higher education institutions with over 41,500 students and approximately 4,600 employees. The university offers a diverse range of high-quality education programs and world-leading research in several scientific fields, and it was here that the groundbreaking discovery of the gene-editing tool CRISPR-Cas9 was made, which was awarded the Nobel Prize in Chemistry. At Umeå University, everything is close by. Our cohesive campus makes it easy to meet, collaborate, and exchange knowledge, which fosters a dynamic and open culture. Are you interested in learning more? Read more about Umeå University as a workplace. Our department, which conducts research at the highest international level and provides several high-quality education programs, is now seeking a postdoctoral researcher to work on data privacy methods for data-driven models. The position is a full-time appointment for two years with start date January 8, 2027 or by agreement. The Department of Computing Science at Umeå University is an international environment for research and education across a broad spectrum of the computing science field. The department is internationally recognized for excellent research and teaching. Read more at the Department of Computing Science. Project Description and Responsibilities The project will develop privacy-aware models for machine learning (ML). We are interested in data-driven models for complex data, including temporal data. We are interested in both data-driven models and models based on synthetic data. Regarding privacy, we focus on various types of privacy measures and models (differential and integral privacy, k-anonymity), as well as different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are interested in privacy-preserving machine learning at scale. Research Group The research group Privacy-aware Transparency Decisions, led by Professor Vicenç Torra, conducts research on data privacy for data intended for machine learning and statistical purposes. It is well-known that data can be very sensitive and that naive anonymization is insufficient to prevent disclosure. Models and aggregates can also lead to disclosure because they may contain traces of the data used in the computation. We want to understand the fundamental principles that enable us to build privacy-aware AI systems and develop algorithms for this purpose. For more information, see: umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest single research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industry. The research encompasses artificial intelligence and autonomous systems that work in collaboration with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent systems of systems. WASP's vision is excellent research and expertise in artificial intelligence, autonomous systems, and software for the benefit of Sweden's industry and society. Read more: https://wasp-sweden.org/ Qualifications To be employed under a fixed-term postdoctoral appointment, a doctoral degree or a foreign degree assessed as equivalent to a doctorate is required. This qualification requirement must be fulfilled no later than when the employment decision is made. To be employed under the postdoctoral agreement, preference is given to those who completed their degree within the past three years. If there are special circumstances, those who completed their doctorate earlier may also be considered. Special circumstances include leave due to illness, parental leave, positions of trust in trade union organizations, service in national defense, or other similar circumstances, as well as clinical practice or relevant service/assignments for the field of study. A qualified applicant should hold a doctorate or a foreign degree assessed as equivalent within computing science or another subject relevant to the project. Documented knowledge and proven research experience in the design of algorithms and methods for data protection and machine learning is required. It is highly meritorious to have publications at leading conferences in machine learning, security, and privacy (NeurIPS, ICML, S&P, PETs, ESORICS, or similar conferences). A successful candidate is expected to have a scientific and results-oriented approach to your work. Excellent knowledge of the English language, both spoken and written, is a key requirement. Application A complete application should include: A cover letter describing your research interests and why you are applying for the advertised position. Summarize your qualifications, research interests, motivation for applying, and describe the connection between your previous research and position (maximum 2 pages), Curriculum Vitae with a publication list, Certified copy of your doctoral degree certificate or documentation confirming when your doctorate is expected to be awarded, Certified copies of other degree certificates, academic course certificates, and/or grades, Copy of your doctoral dissertation and a maximum of 5 relevant articles, Other documents that you wish to submit. Contact information for two references. Applications should be written in English or Swedish. Applications are submitted through our electronic recruitment system. Documents sent electronically should be in Word or PDF format. Log in to the system and apply using the button at the end of this page. The application deadline is August 9. For more information, contact Vicenç Torra, [email protected] To staffing and recruitment agencies and to those selling additional job advertisements: We kindly but firmly decline direct contact from staffing and recruitment agencies as well as sellers of additional job advertisements.Umeå University is one of Sweden's largest higher education institutions with over 41,500 students and approximately 4,600 employees. The university offers a diverse range of high-quality education programs and world-leading research in several scientific fields, and it was here that the groundbreaking discovery of the gene-editing tool CRISPR-Cas9 was made, which was awarded the Nobel Prize in Chemistry. At Umeå University, everything is close by. Our cohesive campus makes it easy to meet, collaborate, and exchange knowledge, which fosters a dynamic and open culture. Are you interested in…

Přehled

Typ

job

Stav

active

Viditelnost

public

Město

Umeå

Adresa

Umeå universitet

GPS

63.7970413, 20.2816791kopírovatotevřít v ▾

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Zobrazení

2

Publikováno

18. 6. 2026

Upraveno

30. 7. 2026

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