Scientific Computing PhD Scholarships in Sweden
Scientific computing PhD programmes supporting agri-food research cover high-performance simulation, numerical methods, research software and data-intensive computing for biology and environment. Candidates collaborate with domain scientists while building robust computational tools. Institute listings on this page highlight funded opportunities in that computational niche. You will find 5 institute-level doctoral funding opportunities on this page.
5 programmes
Filter Scholarships
Narrow institute PhD scholarships by name, country, field of study, stipend affordability band, institution type, and minimum monthly stipend. Choose a country or field and press Apply filters to open the matching catalog page. On the homepage, all other filters search the full institute catalog (paginated results).
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About the role The Department of Energy and Technology at the Swedish University of Agricultural Sciences (SLU) invites applications for a doctoral student position in Technology. The project focuses on biomethanation of syngas with integrated climate and…Explore Scholarship -
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Postdoc in Forest Landscape Modelling — SLU, Sweden
About the role The Department of Forest Resource Management at the Swedish University of Agricultural Sciences (SLU) in Umeå invites applications for a two-year postdoctoral researcher position in forest landscape modelling. This role is part of the…Explore Scholarship -
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Postdoctoral Researcher in Computational Social Science
About the Project The Swedish University of Agricultural Sciences (SLU) – one of Northern Europe’s largest hubs for ecological research – invites applications for a postdoctoral position in computational social science. The successful candidate will join a…Explore Scholarship -
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Postdoctoral Researcher: Psychology of Forest Management and Biodiversity
About the Role The Swedish University of Agricultural Sciences (SLU), in collaboration with Umeå University and the University of Massachusetts, invites applications for a Postdoctoral Researcher to join an interdisciplinary project funded by the Marianne and Marcus…Explore Scholarship -
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Researcher (forskare) in stock assessment and advice for fisheries management
About the Role The Department of Aquatic Resources at the Swedish University of Agricultural Sciences (SLU) invites applications for a permanent position as a Researcher (forskare) in stock assessment and advice for fisheries management. You will join…Explore Scholarship
Research in Scientific Computing (Sweden)
Scientific computing PhD programmes supporting agri-food research cover high-performance simulation, numerical methods, research software and data-intensive computing for biology and environment. Candidates collaborate with domain scientists while building robust computational tools. Institute listings on this page highlight funded opportunities in that computational niche.
Typical funding on this page
You will find 5 institute-level doctoral funding opportunities on this page. Some institutes do not publish stipend amounts; confirm salary and benefits on the official programme page before applying.
Candidate requirements
Admission criteria are set by each institute and typically include a relevant master's degree (or equivalent), research fit with the advertised project, and English proficiency where required. Visa, residency and prior-degree recognition rules depend on Sweden — confirm the official programme page before applying.
Frequently asked questions
What kind of Scientific Computing PhD research is funded in Sweden?
Programmes listed here are institute-level doctoral scholarships tagged with Scientific Computing. Research themes range from applied experiments to data-driven and translational projects depending on the host institute.
Who can apply to these programmes?
Each institute defines its own degree background, language and residency requirements. Open the programme listing for application deadlines and the official admission criteria.
How do I find related PhD scholarship categories?
Use the related links below to explore the same field in other countries, sibling disciplines in Sweden, or alternate funding filters such as fully funded and high-stipend tiers.