The CHAIR theme AI for Scientific Data Analysis offers:
– Scholarships for conferences for early stage researchers
– Fellowships to invite collaborators for international grants.
Researchers at Chalmers and University of Gothenburg can apply for the grants. Precedence will be given to researchers who are already engaged within CHAIR, and especially within the theme AI for Scientific Data Analysis. Applications will be revised monthly on a continuous basis.
Scholarships for conferences for early stage researchers
A limited number of scholarships to cover partly the cost of PhD students and postdocs to attend conferences and present their research.
The recipients will then present what they learned at the conference at the monthly events organized by the CHAIR Theme AI for Scientific Data Analysis.
The applicants should email volpe@chalmers.se the following information with subject line CHAIR AI for Scientific Data Analysis Conference Scholarship Application:
- Name, affiliation, address and contact
- Supervisor and research group
- Conference and accepted abstract
- Brief motivation
- Requested budget (with cofinancing)
- Previous involvement with the CHAIR theme.
Fellowships to invite collaborators for international grants
A limited number of fellowships to cover partly the cost of inviting international collaborators to develop and submit EU/international/collaborative grants.
The applicants should email volpe@chalmers.se the following information with subject line CHAIR AI for Scientific Data Analysis Collaboration Fellowship Application:
- Name, affiliation, address and contact
- Brief motivation
- Collaborator bio and CV
- Collaborative grant information
- Requested budget (with cofinancing)
- Previous involvement with the CHAIR theme
For more information about the grants, please contact:
Giovanni Volpe, University of Gothenburg
AI for Scientific Data Analysis
This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.
