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Duties

The successful candidate will develop machine learning algorithms and analytical tools to analyse vegetation and habitat characteristics from camera-trap images, and link these to wildlife data. Furthermore, she/he will closely work with the SLU Big Picture project team consisting of Associate Prof. Tim Hofmeester and Dr. Magali Frauendorf. The successful candidate will develop machine-learning algorithms to automatically classify the vegetation green-up as well as different habitat types from camera trap images, and link these to satellite remote sensing data at a European scale. She/he will closely collaborate with other project members within the large consortium. The successful candidate will also have opportunities to be involved in research within other Big Picture work packages. There will be also room to develop own research interests related to the application of AI and statistical models to satellite remote sensing and/or camera trapping data.

Qualifications

Applicants should hold a PhD in computer science, remote sensing or (wildlife) ecology with strong coding skills. We are looking for a highly motivated and team-oriented candidate with documented experience with AI (e.g., machine learning, deep learning) and image classification. A good knowledge of spoken English and writing skills are essential.

Affinity with plant phenology, remote sensing, wildlife ecology and/or management, and the use of camera traps, count as merits.

As postdoctoral appointments are career-developing positions for junior researchers, we are primarily looking for candidates with a doctoral degree that is three years old at most.

About the Department

The department offers a creative, stimulating, and highly international environment and performs internationally recognised research, education and environmental monitoring in the research areas: animal ecology, aquatic ecology, molecular ecology and restoration ecology (see https://www.slu.se/en/departments/wildlife-fish-environmental-studies/research/). The department has many international employees and well-established national and international collaborations, which gives opportunities for fruitful exchange.

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

Location:

Umeå

Form of employment:

Temporary employment 24 months

Scope:

100%

Start date:

1 March 2025 or according to agreement

Application:

Please submit your application before deadline 19 January 2025. You can submit your application by clicking the apply button in the original post.

Union representatives:

https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/