Research Infrastructure Specialist AI/ML with Focus on Sensitive Data
Workplace: Uppsala, Sverige
Expires: August 29, 2025
UPPMAX at Uppsala University is seeking a Research Infrastructure Specialist with expertise in AI/ML and handling of sensitive data such as personal information, medical data or confidential research data. The role supports researchers in developing and applying AI/ML solutions complying with high standards of data security, privacy and ethical handling, as part of the Swedish node in the EuroHPC-funded European AI factories network.
Main requirements:
- PhD degree in medicine, biology, chemistry, physics, computer science or related field
- Demonstrated experience with machine learning methods for sensitive data
- Good knowledge of handling sensitive data with understanding of relevant regulations such as GDPR
- Strong programming skills (e.g., Python, PyTorch, TensorFlow)
- Ability to work in interdisciplinary teams and communicate with technical and non-technical stakeholders
- Proficiency in English, spoken and written
Responsibilities:
- Develop and customize AI/ML methods to handle sensitive or protected data in compliance with GDPR and other regulations
- Support researchers in designing AI/ML projects with focus on data security, anonymization, federated learning or differential privacy
- Contribute to the development of secure AI infrastructures within the AI Factory Service Hub
- Collaborate with legal and ethical experts to ensure regulatory compliance
- Participate in educational initiatives and knowledge transfer within academia
- Engage in relevant international collaborations and networks
Required hard skills:
- Expertise in AI and machine learning methods for sensitive data
- Programming proficiency in Python and frameworks like PyTorch or TensorFlow
- Knowledge of data protection regulations such as GDPR
- Ability to design secure AI/ML systems
Recommended hard skills:
- Experience with federated learning, differential privacy, or secure multiparty computation
- Work in academic or EU-funded projects
- Teaching experience at the university level
- Experience with Swedish authorities and relevant regulations
Soft skills:
- Good social competence
- Strong collaboration skills
- Initiative-taking
- Effective communication with diverse audiences
Coding languages:
- Python
Frameworks:
- PyTorch
- TensorFlow
Natural languages:
- English (Proficient)
- Swedish (Basic familiarity)
Cultural skills:
- Interdisciplinary collaboration
- Adherence to ethical standards in research
- International cooperation
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