Career Opportunity /  22 May 2023

Postdoc for image-based insect monitoring with computer vision and deep learning

The Department of Ecoscience, Aarhus University, invites applications for a postdoc position to strengthen our team on image recognition and deep learning in ecology. Specifically, the candidate will further develop analysis pipelines and implement sensors for automated monitoring of insects across Europe. The position is one of several early-career positions funded by the EU Horizon Europe project Modern approaches to the monitoring of biodiversity (MAMBO).

Deadline: 22 May 2023 - the deadline has passed.
Aarhus University - Denmark

Expected start date and duration of employment

This is a 2-year postdoc position planned to start on 1 October 2023 or as soon as possible thereafter.

Job description

Insect population declines are widely reported and a source of great ecological and societal concern. A step-change in data collection and processing is required to understand and prevent such declines. We are seeking applicants to expand our work on image-based methods for biodiversity monitoring. The project is placed within a research group aiming to improve detection and classification performance of convolutional neural network models. These models are applied to datasets containing millions of images collected to address ecological questions. Specifically, the candidate will be responsible for quantifying insect abundance, diversity, and biomass from such images and for validating model predictions. The scope of the project includes insect monitoring during both day and night. An additional component of the project is to test new insect cameras with edge computing capabilities, where insect detection and classification is done during the recording process.

Together with an interdisciplinary and international team, the project intends to pave the way for scalable image-based methods to address fundamental questions in biodiversity and conservation. An important task is therefore to be able to communicate and collaborate with a wide range of collaborators and stakeholders. The candidate will work together with leading computer scientists and ecologist within the MAMBO consortium (

Follow this link for more details and to apply: