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.
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 (https://www.mambo-project.eu/).
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