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Swedish University of Agricultural Sciences

Doctoral studentship in Technology with focus on integrating animal welfare Swedish University of Agricultural Sciences in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Funded doctoral employment for 4 years; Formas-funded project TASSA (2026–2028).

Deadline

Nov 24, 2026

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Country

Sweden

University

Swedish University of Agricultural Sciences

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Keywords

Computer Science
Environmental Science
Agriculture
Biology
Nutrition
Animal Welfare
Antibiotic Use
Life Cycle Assessment
Digital Tools
Optimisation
Statistics
Decision Support System
Sustainable Food

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About this position

This doctoral project focuses on developing methods to integrate animal welfare and antibiotic use into sustainability assessments of foods, meals, and dietary patterns. The work sits at the intersection of food systems sustainability, life cycle assessment, and decision support, with the goal of creating credible and transparent information for choices in production, procurement, dietary guidance, and menu planning.

The doctoral student will join the research group for sustainable food systems at the Department of Energy and Technology, Swedish University of Agricultural Sciences. The project is embedded in the Formas-funded TASSA initiative, which aims to build a research agenda for animal-welfare-inclusive sustainable food systems and to develop conceptual tools for comparing welfare across species and balancing it against other sustainability dimensions. The project is carried out together with researchers in animal welfare and animal ethics at Linköping University and Texas State University.

The research is strongly quantitative and method-development oriented. The doctoral student will map and evaluate existing indicators and methods, develop operational metrics and calculation approaches, and combine them with environmental indicators from LCA-based tools. Work will also involve databases and models, including SAFAD, as well as harmonisation of data across countries and sustainability dimensions.

In addition, the project includes analysis of trade-offs and synergies between animal welfare, environmental impact, and nutrition, implementation of indicators in digital tools, and engagement with stakeholders in the Swedish food and meal sector through workshops and interviews. The student will publish findings in scientific journals, present them to academic and non-academic audiences, and work in a multidisciplinary and international research environment with close links between research and practice at SLU campus Ultuna in Uppsala.

The department conducts research and education on sustainable energy and food systems, and the student will be part of a group working with life cycle assessment, dietary environmental assessment, and food-system modelling in collaboration with actors across the food chain and public administration.

Funding details

Funded doctoral employment for 4 years; Formas-funded project TASSA (2026–2028).

What's required

Applicants must have an advanced degree, at least 240 higher education credits including at least 60 at advanced level, or equivalent knowledge. For specific eligibility in Technology, at least 90 credits in technology-relevant subjects are required, including an independent project and at least 30 credits at advanced level; otherwise eligibility is assessed individually. A degree at advanced level in natural sciences, a Master of Science in Engineering, or a master's degree in sustainable development, sustainable food systems, or a related field is required. English proficiency corresponding to Swedish upper secondary English B/6 is required. Very good spoken and written English is required, and Swedish is meritorious. Experience or documented knowledge in modeling and quantitative analysis, use of AI tools in research or analysis work, or work as a research assistant is particularly meritorious.

How to apply

Submit the application via the application button no later than 2026-11-24. Read the linked page about required appendices and include the requested attachments. Selection is based on the submitted documents and the ability to complete the education within the planned time.

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