Postdoc in computer vision for analysis of cattle behaviour and welfare

SLU, Sweden

Updated: 11 days ago
Job Type: FullTime
Deadline: 27 Feb 2026

17 Jan 2026
Job Information
Organisation/Company

SLU
Research Field

Computer science
Researcher Profile

Recognised Researcher (R2)
Application Deadline

27 Feb 2026 - 12:00 (UTC)
Country

Sweden
Type of Contract

Temporary
Job Status

Full-time
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Department of Clinical Sciences

Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for research focusing on animal welfare and behavior in dairy cattle.

About the position

This postdoctoral position offers the opportunity to work with data-driven research at the intersection of AI, computer vision, animal welfare, and behavior. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings.

The project is part of the European Partnership on Animal Health and Welfare (EUPHAW) and focuses on the development of methods to quantify and analyze behavior and welfare in dairy cattle using large-scale video and sensor data collected in barn environments.

The research is conducted at SLU in close collaboration with European research groups within EUPHAW. The work takes place in a multidisciplinary research environment, where methodological development in AI and computer vision is combined with applications in animal welfare and Precision Livestock Farming. The position offers scope for independent research, methodological development, and international collaboration.

Within the scope of the position, the researcher is expected to:

  • conduct independent and high-quality research within the scope of the position
  • publish research results in international, peer-reviewed scientific journals
  • communicate research and research findings to both academic and non-academic audiences
  • participate in national and international collaborations, including travel

Background 

We are looking for a candidate who:

  • has a clear methodological profile in AI and computer vision, regardless of disciplinary background
  • has worked independently with the development, training, and validation of computer vision models
  • is comfortable working in multidisciplinary research environments, where methods are applied to biological or real-world problems

Qualifications

The applicant must:

  • hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline)
  • have documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis
  • have very strong knowledge of machine learning, with practical experience in model development and evaluation
  • have good programming skills in at least one relevant language
  • have a strong ability to communicate orally and in writing in English

Desirable qualifications

  • experience in computer vision for video analysis (e.g. tracking, pose estimation, behavior recognition)
  • experience working with large-scale or long-term video data
  • experience with model evaluation and generalization in noisy, real-world data
  • experience combining video and sensor data
  • applied experience with AI in biological or veterinary systems

About us

At SLU University Animal Hospital (UDS), education, research and advanced animal care go hand in hand. We educate tomorrow's veterinarians and animal nurses and provide first-class care for companion animals, competition animals and production animals. 
We also disseminate knowledge to the general public. By combining established knowledge with the latest research results, we develop the animal care of the future.

Under one roof, we offer healthcare for horses, dogs, cats and other small animals. In addition to modern premises adapted to the business, we have advanced imaging diagnostics and a veterinary specialist laboratory. UDS's operations also include an outpatient clinic that travels to stables and farms to examine and treat horses and farm animals. In total, we have about 200 employees who provide qualified animal healthcare 24/7.

Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/

Location:

Uppsala

Employment:

Fixed-term employment, 2 years, with the possibility of extension

Extent:

100%

Starting date:

1 April 2026 or according to agreement

Application:

You are welcome to submit your application via the application button below no later than 2026-02-27.

The application should include:

  • A cover letter (maximum 1 page)
  • Curriculum vitae (CV)
  • Names and contact details of two references
  • Copy of PhD degree certificate

    • Union representatives:

    https://internt.slu.se/min-anstallning/facket/kontaktpersoner/

     


    The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden.

    SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.


    Where to apply
    Website
    https://web103.reachmee.com/ext/I017/1114/main?site=6&validator=107666e3b6b77a4…

    Requirements
    Research Field
    Computer science
    Education Level
    PhD or equivalent

    Languages
    ENGLISH
    Level
    Excellent

    Research Field
    Computer science
    Years of Research Experience
    None

    Additional Information
    Work Location(s)
    Number of offers available
    1
    Company/Institute
    SLU, the Swedish University of Agricultural Sciences
    Country
    Sweden
    Geofield


    Contact
    City

    Uppsala
    Street

    Box 7054 (KV)
    Postal Code

    75007

    STATUS: EXPIRED

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