Staff scientist “AI/ML focusing on Sensitive Data” at UPPMAX

UPPMAX (Uppsala Multidisciplinary Center for Advanced Computational Science, www.uppmax.uu.se) is a center with the mission to provide large-scale resources for computing and storage for researchers at Uppsala University and to offer support for them. To utilize the resources effectively, advanced user support with broad competence is provided. UPPMAX currently has about 1500 active users from various application areas where large-scale computations and storage of large datasets are necessary, such as bioinformatics and materials science, but also newer disciplines such as digital humanities. UPPMAX has around 20 employed system and application experts.

The application experts at UPPMAX form a broad group of approximately ten people who assist researchers in their utilization of large-scale computing and storage resources at UPPMAX and NAISS (National Academic Infrastructure for Supercomputing in Sweden), participating in NAISS's national user support function.

This recruitment covers the Swedish node in the EuroHPC-funded network of European AI factories. The AI Factory Service Hub is managed as a project within the Horizon Europe program and will comprise up to 50 AI experts and other staff working closely with academic and industrial users in EuroHPC’s member states to promote AI solutions, training, business development, and knowledge transfer.

Read more at: https://www.naiss.se, https://mimer-aifactory.eu, https://eurohpc-ju.europa.eu/ai-factories_en

We are looking for a staff scientist with expertise in artificial intelligence (AI)/Machine Learning (ML) and management of sensitive data, such as personal data, medical data, or confidential research data. You will work within the academic part of the Swedish AI factory, where you support researchers in developing and applying AI/ML solutions that meet high requirements for data security, privacy, and ethical considerations.

Duties
The role will focus on supporting researchers with AI/ML needs for sensitive data, more generally in the management of data, software, tools, and support on the AI factory's computing resources, both nationally and at other European AI factories.

The tasks will include, among others: 

• Developing and tailoring AI/ML methods to handle sensitive or protected data in accordance with GDPR and other relevant regulations.
• Supporting researchers in designing AI/ML projects focused on data security, anonymization, federated learning, or differential privacy.
• Contributing to the development of secure AI infrastructures within the AI Factory Service Hub.
• Collaborating with legal and ethical experts to ensure regulatory compliance.
• Participating in training efforts and knowledge transfer within academia.
• Engaging in relevant international collaborations and networks.

Staff scientists are offered the opportunity to allocate up to 20% of their time to develop professional and technical skills, both to stay current in their own scientific field and to broaden their knowledge and skills in other areas.

Requirements
The ideal candidate should hold a Ph.D. in a relevant field with a strong knowledge of AI/ML for managing sensitive data (or equivalent), possess good social skills, strong ability to collaborate, and have the ability to take initiatives. Moreover, the candidate must have proficient professional English in both spoken and written form. Good knowledge of Swedish is an advantage. We place great emphasis on personal suitability.

The ideal candidate should have: 

• A Ph.D. in medicine, biology, chemistry, computer science, or a related field.
• Documented work with methods for machine learning related to sensitive data.
• Strong knowledge of working with sensitive data and understanding of relevant regulations (e.g., GDPR).
• Good programming skills (e.g., Python, PyTorch, TensorFlow).
• Good ability to work in interdisciplinary teams and communicate with both technical and non-technical stakeholders.
• Good communication skills in English, both verbally and in writing.

Additional qualifications
It is considered an advantage if the candidate has documented experience in: 

• Federated learning, differential privacy, or secure multiparty computation.
• Work in academic or EU-funded projects.
• Teaching at the university level.
• Work within Swedish authorities and experience of relevant regulations.

Other relevant technical or scientific expertise is also meritorious. We strive for a diversity of expertise among application experts across various subject areas and welcome applicants from all fields.

About the employment
The employment is a permanent position (probationary period may be applied). Scope of employment 100 %. Starting date as agreed. Placement: Uppsala

For further information about the position, please contact: Marcus Lundberg, coordinator, marcus.lundberg@uppmax.uu.se or Peter Broqvist, UPPMAX director, director@uppmax.uu.se

Please submit your application by 29 August 2025, UFV-PA 2025/2037.

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