Postdoc position in bat population monitoring with the Department of Ecoscience, Aarhus University
Conditions
The position starts in June 2026, with the exact date agreed between the applicant and the Department.
The position concludes after 24 months.
Shortlisting is used; the head of department selects candidates for evaluation.
Applicants must ensure referees have enough time to provide letters before the deadline.
Letters of reference received after the application deadline will not be considered.
Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.
Formalities and salary range
The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million.
Tasks
Optimize a camera-based system and AI-based analysis workflow for long-term monitoring and quantification of bat population sizes at a Danish hibernaculum.
Develop and refine camera-based methods for bat species identification and population monitoring.
Contribute to automated approaches for tracking long-term population trends in wildlife.
Collaborate with colleagues on ongoing modelling and simulation work across the section.
Help design and pilot an outreach programme for Danish school classes linked to the monitoring work.
Help organise two workshops bringing together interdisciplinary expertise from within and beyond the department.
Requirements
PhD in wildlife ecology, conservation biology, or a related field.
Application must include a CV, degree certificate, publication list, statement of future research plans, and teaching portfolio with verified experience.
Qualifications must meet the Memorandum on Job Structure for Academic Staff at Danish Universities.
Ability to communicate effectively in English, both written and spoken.
The Department currently employs approximately 275 academic and technical staff, as well as PhD students, distributed at two geographical locations in Aarhus and Roskilde.
Preferred
Background in bat or wildlife ecology and experience in technology-assisted monitoring or computational image analysis.
Experience with technology-assisted wildlife monitoring (e.g., camera traps, thermal imaging, acoustic sensors).
Practical skills in programming and analysis of large datasets.
Publication record in relevant areas.
Knowledge of bat ecology and species identification.
Experience with machine learning or automated detection methods.
Background in public outreach or science communication.
Familiarity with high-performance computing environments.
Proficiency in Danish and/or German.
Benefits
Access to a well-developed research infrastructure and shared technical equipment.
Interdisciplinary environment with opportunities for scientific networking and social engagement.
Research climate encouraging open discussion, professionalism, equality, and a healthy work-life balance.
Relocation services and career counselling for international researchers and their families.
Access to a Junior Researcher Development Programme for career development.
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