Master thesis – Image recognition of salmon – Vattenfall R&D
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.
The Vattenfall R&D section for Data Science & AI apply advanced analytics to support the mission of fossil free living within one generation. In one of our current projects image recognition is used to identify different types of fish travelling the fish ladder of one of our hydro power plants. Guaranteeing a healthy ecosystem in our rivers is a high priority for Vattenfall, and investigating how new tools can support that goal is key for success.
Vattenfall has a high quality dataset and algorithm used for detecting if a salmon is wild or farmed, and we would like to see how our model holds up to academia best-practice. As a thesis student you will have access to our image dataset and resources, alongside our current model, in order to benchmark our model to other solutions.
The goal of this thesis is to create an image recognition model that outperforms or adds to the current Vattenfall model, and provide suggestions for optimization methods that can be used in future models.
Scope of the thesis (30HP)
We would like the student to:
1. Review dataset, understand current solution and environment
2. Develop and deploy models in the already setup image recognition environment at Vattenfall
3. Evaluate and benchmark models and results
4. Provide recommendations for improvements in current work
What else do I need to know?
• This master thesis is done with Vattenfall R&D together with the research program FiDiMo.
• The location for this work is flexible, but the team is mostly situated at Vattenfall R&D in Solna, Stockholm
You are a computer science or engineering student with experience or interest in machine learning models used for image recognition. You have a keen interest in sustainability and a drive to share your knowledge by developing solutions that can be used broadly with limited analytics knowledge.
Swedish is not required but we appreciate if you intend on learning it during your thesis.
CV, cover letter, and grades are to be submitted in the application.
The interview process will be ongoing, as soon as relevant applicants are identified.
Deadline for application: 2020-12-06.
Do not hesitate to contact us for any questions:
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