Postdoctoral Researcher in Computer Vision and AI

Job summary

A postdoctoral position is available in the Visual Computing section, focusing on AI-driven methods for analyzing underwater imagery to assess species abundance in marine environments. This role involves conducting innovative research in deep learning and computer vision, particularly in the context of marine biology.

Qualifications

• PhD degree (or equivalent) in a relevant field.
• Research experience in deep learning and computer vision.
• Familiarity with analyzing marine underwater images or similar datasets.
• Ability to manage and process large volumes of data.
• Self-motivated and capable of working independently.

Responsibilities

• Develop AI-based computer vision techniques for analyzing underwater video sequences.
• Focus on obtaining the MaxN metric to estimate species abundance from video data.
• Conduct research in areas such as object detection, counting, anomaly detection, and image segmentation.
• Publish findings in international conferences and journals.
• Supervise students and contribute to the research environment within the section.

Skills

• Proficiency in deep learning frameworks and computer vision methodologies.
• Strong analytical and problem-solving skills.

Education

• A PhD degree in a relevant discipline is required.

Tools

• Experience with high-performance computing resources and relevant software for image analysis.