Postdoc for Computer Vision: The Department of Ecoscience at Aarhus University is seeking applications for a postdoc position focused on computer vision and deep learning in ecology. The successful candidate will contribute to the EU Horizon Europe project MAMBO (Modern Approaches to the Monitoring of Biodiversity) by developing analysis pipelines and implementing sensors for automated monitoring of insects across Europe.
Designation: Postdoctoral Researcher
Research Area: Computer Vision and Deep Learning in Ecology
Location: Department of Ecoscience – Biodiversity and Conservation, C.F. Møllers Allé 8, 8000 Aarhus C, Denmark
Eligibility/Qualification: The candidate should hold a Ph.D. or equivalent in biology, computer science, or software engineering. Proficiency in Python programming, applied statistics, and excellent English communication skills are essential. The applicant must demonstrate a track record of turning technical solutions into publications in leading scientific journals.
Job Description:
Postdoc for Computer Vision and Deep Learning Applied to Biodiversity Monitoring
The postdoc will focus on advancing image-based methods for biodiversity monitoring, specifically quantifying insect abundance, diversity, and biomass using deep learning models. The project involves working on data from insect camera traps, building efficient pipelines for localizing insects against diverse backgrounds, and incorporating taxonomic identification methods. Collaboration with an interdisciplinary team and testing new insect camera traps with edge computing capabilities are integral components of the role.
How to Apply: To apply, submit the following documents via Aarhus University’s recruitment system:
- Curriculum Vitae
- Degree Certificate
- List of Publications
- Statement of Future Research Plans
- Information about Research Activities
- Teaching Portfolio
- Verified Information on Previous Teaching Experience (if any)
Last Date for Apply: Wednesday, 03 January 2024, at 23:59 CET
Application Process:
| Document | Description |
|---|---|
| Curriculum Vitae | Document highlighting academic and professional achievements. |
| Degree Certificate | Proof of the candidate’s Ph.D. or equivalent qualification. |
| List of Publications | Comprehensive list of the candidate’s academic publications. |
| Statement of Future Research | Outline of the candidate’s future research plans. |
| Information about Research | Details about the candidate’s research activities. |
| Teaching Portfolio | Documentation of the candidate’s teaching experience and philosophy. |
| Verified Information on Previous | Information about previous teaching experience, if applicable. |
Additional Information:
- The position is a fixed-term full-time appointment from March 1, 2024, to February 28, 2026.
- The project is part of the EU Horizon Europe project MAMBO.
- The Department of Ecoscience emphasizes teamwork and close working relations.
- English is the primary language of communication, and international applicants are welcome.
- For inquiries about the position, contact Professor Toke T. Høye at tth@ecos.au.dk or +4530183122.
Deadline: Applications must be received by 03 January 2024, at 23:59 CET. Shortlisted candidates will be notified for further evaluation.
