Thesis - Image analysis for individual salmon recognition

Company Description

We have been electrifying industries, powering homes and transforming life through innovation and collaboration for more than 100 years. Empowered by our goal, we are determined to enable fossil free living within one generation. To succeed we, as one of Europe's leading energy companies, must be fossil-free ourselves.

But that’s not enough. That’s why we are looking beyond our own industry, to see where we can really make a difference.

Join us in our journey towards a fossil-free life within one generation.

Want to learn more about what we do? Visit www.vattenfall.com.

Since Vattenfall is a part of the Swedish critical infrastructure, many of our services are security classed. If this position is security classed the final candidates might be subjected to a security vetting process, according to the Swedish legislation.

Job Description

Power Climate Smarter living - that’s our purpose. We are looking for the brightest students to make this happen. Together you will contribute to a fossil free future. You will have a unique position to contribute to our purpose. All we ask from you is to use your Superpowers and share your energy to help us achieve our goal. 

About the thesis

Department information

Research & Development is a department of about 130 employees at Vattenfall, working with laboratory tests, prototypes and new technologies to drive innovation and development in the company. You will be working in Asset Analytics, a team that uses AI and Data Science to analyse, monitor and improve Vattenfall’s assets. AI utilization for biodiversity monitoring is one of the main focuses of the team.

Thesis subject

This project will be carried out at Vattenfall R&D. The thesis project will be part of an ongoing project where we have developed a system that uses image analysis to count and classify fish on their sort, origin, health status and sex. The next step in the project is to recognize individual fish and will be a collaboration between SLU and Vattenfall. Using image analysis to recognize unique individuals is a safe and efficient solution to track a large number of fish throughout the river without the need to catch and tag them.

Individual salmon can be recognized by the unique dot pattern on their face. In collaboration with the SLU, you will create an algorithm that can recognize individual fish based on these dot patterns.  You will provide knowledge around computer science and image recognition, while SLU will provide expertise around fish and their behavior.

Goal

You will have access to two datasets with videos collected at different sites in Umeälven, one collected at the river mouth and the other from a fish ladder at the hydropower plant Stornorrfors. The goal of the project is to match the fish seen in the camera trap with the fish passing through the ladder. The proportion of successful fish passages and their migration time from the river mouth to passing the dam will provide valuable insight when evaluating measures to facilitate fish passage at the Stornorrfors hydropower plant.

Qualifications

We are looking for a student to join our journey towards a fossil free future. You are soon to be graduated from your academic studies. You also identify yourself with our principles: active, open, positive and safe.

Education – Computer Science, IT / ICT, Machine Learning, AI, Data Science

Scope - 30hp

Language - Fluent in English

Additional Information

• Start of assignment: 2024-01-22 or by agreement
• Location: Solna or by agreement

• Application – a combined document with your CV and cover letter, and grades are to be submitted in the application.
• Deadline for application is 2023-11-30.
• Contact person and supervisor at Vattenfall is: Tara Koopman, tara1.koopman@vattenfall.com

Diversity & inclusion - in everything we do

At Vattenfall we build on the fact that diverse teams can outperform homogeneous teams. But we can only unleash and leverage the power of diversity, if we make everybody feel included. Read more about our important work on diversity & inclusion https://careers.vattenfall.com/about-us/diversity-and-inclusion/