Department of Clinical Sciences
The Department of Clinical Sciences is responsible for undergraduate
education, research and postgraduate education in the scientific fields of
veterinary medicine, veterinary nursing and animal science. The department's
activities mainly concern our common Swedish domesticated animal species with
a focus on Anaesthesiology, Diagnostic Imaging, Animal Care, Epidemiology,
Laboratory Animal Science, Surgery, Clinical Chemistry, Medicine and Domestic
Teaching and research within the cross-disciplinary subject in the field of
veterinary epidemiology focuses on how veterinary medicine can be utilised to
prevent disease and other disorders, thereby promoting animal health and human
health, welfare and well-being.
In a recently started collaborative project, together with Sony Nordic, RISE,
Växa Sverige and Dalarna University, we will develop and evaluate digital
tools to monitor animal welfare in dairy herds. The tool will be built on
cutting-edge multi-sensor technology and computer vision. The project is
transdisciplinary and the project group has a solid knowledge of animal
science, veterinary medicine, epidemiology, qualitative research methods,
animal welfare, computer science, artificial intelligence (AI),
digitalization, statistics and product development. We are now looking for a
PhD-student to join the project group.
The main task for the PhD student is, in addition to pursuing a PhD-education,
to develop and validate AI/prediction models for continuous assessment of key
indicators of animal welfare based on data on animal welfare assessments,
other relevant animal characteristics and output from sensors. The candidate
will also be involved in defining what sensor data and ground truth/gold
standard data on health and behaviour parameters are needed and in the
collection of those.
We are looking for a motivated person with strong quantitative skills.
Applicants should either a) hold an MSc degree in Veterinary Medicine/Animal
Science/Biology or a similar degree and have a very strong interest in
management and analysis of large volume of data using advanced
statistical/machine learning methods/algorithms; or b) hold an MSc degree in
Computer Science/Data Science/ Statistics or a similar degree and have a very
strong interest in biological applications of data analysis using advanced
statistical/machine learning methods/algorithms. You should have a genuine
interest in research and in learning to do research.
We place great emphasis on personal qualities such as curiosity,
responsibility, and ability to work in a team as well as independently, and on
personal suitability for the learning and research tasks. You are fluent in
spoken and written English (required) and an ability to communicate in
Swedish is an asset.
Place of work:
Forms for funding or employment:
Employment (4 years).
According to agreement.
We welcome your application no later than 2022-02-04, use the button below.
Your application should be written in English or Swedish and should include,
in addition to your CV, maximum one A4 page where you describe why you would
like to work with science in general and this project in particular, and a
copy of an article or equivalent (e.g. master's thesis, working paper)
showing previous research experience. Please provide names and contact
information of two reference persons familiar with the applicant's
To qualify for third-cycle (Doctoral) courses and study programmes, you must
have a second-cycle (Master's) qualification. Alternatively, you must have
conducted a minimum of four years of full-time study, of which a minimum of
one year at second-cycle level.
Applicants will be selected based on their written application and CV, degree
project, copies of their degree certificate and transcript of records from
previous first and second-cycle studies at a university or higher education
institution, two personal references, and knowledge of English. More
information about the English language requirements can be found here:
Please note that applicants invited to interview must submit attested copies
of their degree certificate, a transcript of records from previous first and
second-cycle studies at a university or higher education institution.
Applicants who are not Swedish citizens need to submit an attested copy of
their passport's information page containing their photograph and personal
Read about the PhD education at SLU at www. slu.se/en/education/programmes-
Academic union representatives:
https: // internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-
The Swedish University of Agricultural Sciences (SLU) is a world-class
international university with research, education and environmental assessment
within the sciences for sustainable life. Its principal sites are in Alnarp,
Umeå and Uppsala, but activities are also conducted at research stations,
experimental parks and educational establishments throughout Sweden. We bring
together people who have different perspectives, but they all have one and the
same goal: to create the best conditions for a sustainable, thriving and
SLU has just over 3,000 employees, 5,000 students and a turnover of SEK 3
billion. The university has invested heavily in a modern, attractive
environment on its campuses.