Postdoc in Computer Vision and AI for Marine Image Analysis
A postdoc position is available at the section for Visual Computing at DTU Compute. This position is part of the HAV-INNO project, a multi-disciplinary collaboration at the intersection of computer vision, AI, and marine biology. The project aims to develop AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species abundance in Denmark’s diverse maritime habitats. The main task will be to develop AI-based computer vision methods to analyse underwater video sequences, specifically focusing on obtaining the “MaxN” (highest number of individuals of a single species visible in any single frame of a video) to estimate species abundance.
This position is located at DTU Compute, Kongens Lyngby, Denmark.
Key qualifications:
- A PhD degree (or equivalent).
- A research background in deep learning and computer vision.
- Experience in developing methods for marine underwater images or similar.
- Experience at handling a high volume of data.
- Self-motivated and highly independent.
Deadline: September 21st, 2026