Staff scientist “AI/ML focusing on Materials science” at UPPMAX

Uppsala universitet; Uppsala; On-site; EUR 55 000 - 75 000; Full time

Job summary

Uppsala universitet recherche un scientifique staff engagé en intelligence artificielle/machine learning, spécialisé en science des matériaux, pour intégrer un projet européen. Le rôle comprend le soutien aux chercheurs dans la gestion de données et le développement de solutions AI pour des applications avancées en science des matériaux, tout en participant à la formation et au transfert de connaissances.

Benefits

Opportunité de développer ses compétences professionnelles

Qualifications

• Doctorat requis en matière pertinente.
• Compétences solides en AI/ML et gestion des données.
• Bonne maîtrise de l'anglais et connaissances en suédois souhaitées.

Responsibilities

• Supporter les chercheurs dans la gestion de données à grande échelle.
• Développer des méthodes AI/ML pour des problèmes de science des matériaux.
• Collaborer avec des groupes de recherche pour identifier les besoins en AI/ML.

Skills

AI/ML méthodes

Gestion des données

Programmes en Python

Communication

Education

Doctorat en science des matériaux, physique, chimie ou informatique

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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 an engaged and knowledgeable staff scientist in the field of artificial intelligence (AI)/Machine Learning (ML) with a focus on materials science, or alternatively, materials science with a focus on AI/ML (or equivalent). You will work closely with researchers, engineers, and other AI/ML experts within the framework of the Swedish node in the EuroHPC-funded project AI Factory Service Hub. Your mission will be to support and develop AI/ML solutions for advanced materials science applications, focusing on strengthening Swedish and European research and innovation.

Duties

The role will focus on supporting researchers in materials science more generally with managing data, software, tools, and support on the AI factory's computational resources, both nationally and at other European AI factories.

The work tasks will include among other things:

• Helping researchers and engineers manage large-scale data.
• Developing and implementing AI/ML methods (e.g., machine learning, deep learning) for materials science problems.
• Collaborating with research groups to identify needs and opportunities for AI/ML support in their projects.
• Contributing to the development of AI infrastructure and tools within the AI Factory Service Hub.
• Participating in training initiatives, workshops, and knowledge transfer within academia.
• Documenting and disseminating results in scientific publications and technical reports.
  
  
  

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 subjects.

Requirements

The person we are looking for should have a doctorate in a relevant field with good knowledge of data management and AI/ML methods, strong social skills, good collaboration abilities, and the capacity to take initiative. Furthermore, the person must be proficient in professional English both spoken and written. Good knowledge of Swedish is advantageous. We place great emphasis on personal suitability.

The person we are looking for should have:

• A doctorate in materials science, physics, chemistry, computer science, or a related field.
• Documented work with methods for AI/ML applied in natural sciences or engineering.
• Good programming skills (e.g., Python, TensorFlow, PyTorch, scikit-learn).
• Strong ability to work in interdisciplinary teams and communicate with both technical and non-technical stakeholders.
• Good communication skills in English, both verbal and written.
  
  
  

Additional Qualifications

It is considered advantageous if the candidate has documented experience in:

• Working with high-performance computing (HPC) or EuroHPC environments.
• AI/ML applications in material design, simulations, or experimental data analysis.
• Large-scale data management (databases, data curation, metadata management, FAIR, etc.).
• Collaboration with industrial actors or EU projects.
• Teaching at the university level.
  
  
  

Other relevant technical or scientific expertise is also advantageous. We strive for a distribution of expertise among application experts across different subject areas and encourage applicants from all fields of study.

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, [e-mail] or Peter Broqvist, UPPMAX director, [e-mail]

Please submit your application by 29 August 2025, UFV-PA 2025/2035.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala Universityhttps://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising services. Submit your application through Uppsala University's recruitment system.

Anställningsform: tillsvidareanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100% | Ort: Uppsala | Län: Uppsala län | Land: Sweden | Referensnummer: UFV-PA 2025/2035 | Facklig företrädare: Seko Universitetsklubben [e-mail], Seko Universitetsklubben [e-mail], ST/TCO [e-mail], ST/TCO [e-mail], Saco-rådet [e-mail], Saco-rådet [e-mail], | Publicerat: 2025-06-24 | Sista ansökningsdag: 2025-08-29