Hierarchical Deep Learning to Improve Automatic Classification of Pests and Biodiversity Monitoring in Agroecosystems

Career Opportunity / 20 December 2022

Hierarchical Deep Learning to Improve Automatic Classification of Pests and Biodiversity Monitoring in Agroecosystems

We have a fully-funded PhD opening in the DARSA group. The project aims at developing novel algorithms and annotation tools for hierarchical classification, with profound and immediate applications to both agriculture and ecology.

Deadline: 20 December 2022 - the deadline has passed.
Aarhus - Denmark

Quentin Geissmann

@qgeissmann

Aarhus University

Assistant professor in the QGG, at Aarhus University and PI of the DARSA group (https://darsa.info) . My background is both in insect physiology and computational biology. I have particular experience and interest in developing hardware and software to monitor insects (lab&field)

Groups

AI for Conservation

We have a fully-funded PhD opening in the DARSA group. The project aims at developing novel algorithms and annotation tools for hierarchical classification, with profound and immediate applications to both agriculture and ecology.

Full description and application process are posted on our website. Please share with your network.