Spiideo is the leading provider of automated broadcasting cloud-based solutions for video analysis and streaming of sports. With an entirely new way of recording, sharing, analyzing sports performance, and producing sports for streaming, Spiideo has a unique position in the market. Our solution strikes the perfect balance between performance, simplicity, and accessibility. Today, Spiideo is used by hundreds of organizations globally, including some of the world’s largest and most well-known professional and collegiate teams. Our customers are typically in team sports like soccer, basketball, ice hockey, field hockey, handball, lacrosse, etc.

THE OPPORTUNITY

Want to do research within AI, Cloud, Big Data, IoT, Video Processing, Embedded, Application, Web, or some other subject? At Spiideo, we have it all!

We're an in-house full-stack company with a great mix of people involved in making sports recording & streaming simple yet powerful.

We have several ongoing proposals and subjects in store for you. You are, of course, welcome to come up with your thesis proposals too.

We welcome Master's thesis students in Sweden to apply to this listing. You will work in pairs, but you apply individually. Submit your application together with a Swedish Ladok withdrawal.

Examples of Master Thesis topics

- Use Machine Learning Algorithms to Identify Features on a Sports field

- Tracking 3D position of the ball (Position prediction / 3D projection / Occlusion)

- Sport events & Game Phase/State Detection

- Compare detected object representations

- Synthetic training data

- 3D Arenas

- Human text query for sport data using LLM models