Postdoc: Ocean Vision & AI for Marine Image Analysis

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 420,000 - 520,000; Full time

Job summary

DTU - Technical University of Denmark's Visual Computing section invites a postdoc to advance AI-based computer vision methods for underwater video analysis, aiming to quantify species abundance in Danish marine habitats. The role emphasizes deep learning, image analysis, and collaboration with HAV-INNO project partners.

The position offers access to state-of-the-art facilities, opportunities to publish in top venues, supervision of students, and potential ties to industry and other research

Qualifications

• Strong background in deep learning and computer vision relevant to marine imagery.
• Experience with high-volume data handling and robust AI methods.
• Ability to publish results in leading conferences and journals.
• Self-motivated, independent with good collaboration skills.

Responsibilities

• Develop AI-based computer vision methods to analyse underwater video sequences.
• Focus on obtaining the MaxN metric to estimate species abundance.
• Publish and disseminate results; collaborate with project stakeholders.
• Supervise students and contribute to building a research environment.

Skills

Deep learning

Computer vision

Image analysis

Research background

Education

PhD degree

Tools

Python

PyTorch

TensorFlow

Job description

DTU - Technical University of Denmark's Visual Computing section invites a postdoc to advance AI-based computer vision methods for underwater video analysis, aiming to quantify species abundance in Danish marine habitats. The role emphasizes deep learning, image analysis, and collaboration with HAV-INNO project partners.

The position offers access to state-of-the-art facilities, opportunities to publish in top venues, supervision of students, and potential ties to industry and other research