• Raw Stadia
  • Andere
  • Corda Campus
  • 1-3 jaar
  • Nee, deze job kan niet op afstand uitgevoerd worden.


About Raw Stadia
Raw Stadia is a pioneering force in the Sports Tech and Data industry, headquartered in the vibrant city of Hasselt, Belgium. Since our inception in April 2019, we’ve been on a mission to revolutionize the way sports organizations assess playing surface conditions, thereby enhancing athlete performance and safety. Our cutting-edge software platform, complemented by groundbreaking devices, has positioned us as a leader in providing actionable insights to elite sports teams across more than 20 countries. As we continue to grow and expand our technological horizons, we invite you to join us on this thrilling journey.
The Role
Are you passionate about sports technology and eager to contribute to cutting-edge research in sport performance and injury prevention? We are seeking a highly motivated PhD candidate to join our innovative research project in collaboration with an academic partner. This project aims to explore and understand the complex dynamics of player-surface interactions in football, focusing on how pitch characteristics influence player performance and injury risk.
The project utilizes Raw Stadia’s state-of-the-art technology to conduct frequent analyses of pitch conditions at different European clubs and study their impact on player performance and potential injury risks. This research is pioneering in studying these aspects in real-life settings. The learnings gathered will guide technical, performance and medical staff to understand and utilize the effect of the surface on their athletes whilst optimal pitch management and enhanced communication with grounds staff is facilitated through centralized data insights. The ultimate goal is to develop a unique interaction model, a tool for data-informed decision-making in pitch selection for training periodisation and footwear selection, thus optimizing performance and mitigating injury risk.

Key Responsibilities
● Conduct in-depth research and analysis of player-surface interactions using advanced technology.
● Collaborate closely with academic and industry partners to achieve project goals.
● Publish research findings in peer-reviewed journals and present at international
● Develop the Player-Surface Interaction Model based on collected data and analysis.
● Contribute to the improvement of pitch management practices and communication
strategies among relevant stakeholders.
● Contribute to research and product development activities.
● Contribute to the development of Raw Stadia products.
● Work towards your PhD.


  • Demonstrated academic excellence with a strong interest in sports technology., Strong analytical and research skills, with experience in data analysis and scientific writing., A collaborative mindset and proven ability to perform in a dynamic, fast-paced team and entrepreneurial environment.


A front-row seat at one of the fastest-growing companies in the sports tech industry.
● The chance to work on projects that directly impact the performance and safety of
athletes worldwide. See your ideas come to life.
● Work with leading experts in the field and benefit from a strong support network.
● A competitive salary package, including comprehensive fringe benefits.
● A flexible working environment that promotes work-life balance, creativity, and
professional growth.
● Gain valuable experience and skills that will enhance your career prospects in both
academia and industry.
● An opportunity of attaining a PhD whilst working in a Sports Tech Scaleup.
If you’re driven by the challenge of developing technology that intersects software and hardware within the sports domain, we’d love to have you on our team. Embark on a journey with Raw Stadia, where your work not only contributes to our growth but also makes a significant impact on the sports world.
Please send your CV and motivation letter to thomas@rawstadia.com byJune 20. Join us in shaping the future of sports technology!

Interesse in deze job? Stuur een mail naar Raw Stadia
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