Application period
Application period begins May 26, 2026
Last day of application June 19 at 1:00 pm.
Who can apply?
One PI can apply maximum once every two years.
Eligible to apply are scientists (PIs) that are employed at a Swedish University and have grants from theWallenberg Foundations under the following instruments:
- Wallenberg Academy Fellows
- Wallenberg Scholars
- Wallenberg Clinical Scholars
- PI and Co PIs in KAW projects
Or are part of KAWs strategic initiatives:
- Wallenberg AI, Autonomous Systems and Software Program (WASP)
- Wallenberg Centre for Quantum Technology (WACQT)
- Wallenberg Initiative Material Science for Sustainability (WISE)
- Wallenberg Wood Science Center (WWSC)
- Wallenberg Initiatives in Forest Research (WIFORCE)
- Wallenberg Centers for Molecular Medicine (WCMM)
- Data Driven Life Science (DDLS)
- SciLifeLab, including Fellows, group leaders, and infrastructure platform personnel
Or have ongoing grants from Marianne and Marcus Wallenberg Foundation and Marcus and Amalia Wallenberg Foundation’s.
Postdocs and PhD students cannot be the main applicant but could be an integral part of the proposed project.
Application instructions
- Project description (max 1,5 pages) Please describe your research project. Make clear the i) background, ii) questions to investigate, iii) the added scientific value of integrating AI.
- Available and planned data (max 1 page) Please give a clear overview of the available and planned data to be used in terms of e.g. data types and volumes, number of samples, available labels, and other relevant information for the project. Also state the data provider or data repository, and when the data was/will be delivered or can be accessed. If applicable, include a schema of how the data is collected, stored, maintained and used in your current research. For logistic reasons, priority will be given to projects with at least some of the data already available for analysis, but AI4S experts can also assist with dataset generation for novel datasets. Applying research groups are assumed to be domain experts capable of working with and explaining data in their field, while AI4S experts provide insight into modelling, experimental design, and evaluation metrics.
- Involvement (max 1 page) The research group must assign at least one scientist (at least at the level of PhD student) from the group to take part in the AI work to ensure efficient knowledge transfer and longevity of the project beyond the time of the granted support. It is a requirement that the scientist(s) can devote necessary time for this. It is advantageous, but not strictly required, that the scientist(s) assigned from the research group has some experience in working with data driven methods, such as statistics or some level of machine learning. Previous knowledge in AI is not a factor in the evaluation process. The application should include the CV(s) of the scientist(s) assigned to the project, as well as the CV of the PI.
- Compute availability Please indicate if your research group already has access to sufficient compute power. If you do not have access to such an environment or would like to get help in assessing whether the resources you have is sufficient, please indicate this in your application so that we can take this into account for project planning.
Scope of grant
- Granted applications will be offered AI expertise by experienced AI specialists from AI4S AB for a maximum of 700 h effective time.
- Extensions and multiple project applications are on rare occasions possible, but the same research group (PI) can only be granted a maximum of 1000 h effective time over a period of two years.
- Only one application per principal investigator/group leader per four application rounds is allowed in these calls.
- Projects with previously granted support can apply for further assistance once. The exact amount of time granted will be decided on a case-by-case basis.
The AI4S Consultant(s) will be fully integrated members of the research team during the time of their support, taking part in the scientific discussions and participating as co-authors of manuscripts according to normal contribution criteria. All work and analyses done will be fully available to the research group, including scripts and programs. Analysis tools and technical knowledge gained during the project will be made immediately public (i.e. directly after publication).
The granted support is free of charge, as the cost is covered by Knut and Alice Wallenberg Foundation.
Evaluation Process
All applications are kept confidential throughout the process. The evaluation of submitted applications takes place in two stages:
- First, the applications are evaluated by a panel of experts appointed by Knut and Alice Wallenberg Foundation who will score the applications based on Scientific excellence, and expected impact of AI – where high impact means that the usage of AI has high probability of strengthening your research, given the datasets available for the project. The evaluation panel may ask for input from external reviewers.
- The second stage is a matching with the skills of the AI4S team, to ensure that the team has the right competences to support the initiative.
E-application
About AI4S AB’s AI expertise
AI4S senior AI consultants are at least PhD level researchers and have internationally competitive experience in building AI systems and machine learning models, as well as experience in cross-collaboration between academic teams.
The team combines deep theoretical machine learning expertise with strong applied and industrial AI competence, covering generative models, reinforcement learning, multimodal data, robotics, and scalable research software systems from mathematical foundations to real-world deployment.
Besides collaborative research in granted proposals, our staff also spend 20% of their time maintaining their proficiency in AI specific research.