The results of PACE, one of Victoris’ projects, could form the basis for a new venture and in order to prepare the creation of such spin-off, our team opened up a new vacancy for a position as a temporary Business Developer. The team behind this cycling tech project has the goal to develop a product roadmap and a mature go-to-market strategy for the valorization of the model, with a spin-off as the primary option. They are looking for a candidate who can translate the sports scientific and technological advancements into marketable products and services, ensuring the commercial viability and sustainability of the (still to be created) spin-off.
The position, which is funded by the Industrial Research Fund, leads to an appointment at the Department of Movement and Sports Sciences for a duration of 20 months and implies the privilege of devoting oneself almost exclusively to evaluating the feasibility of creating a spin-off during this period. Candidates should demonstrate a combination of experience, skills and interests in various domains of exercise training, digital product development and entrepreneurship.
About PACE
PACE is an algorithm/tool that allows real-time quantification of the energetic balance of the individual cyclist during exercise. This model is based on the Critical Power concept. The team working on this project will be further developing this model and related product not only in a lab-based but also in a field-based context (taking contextual factors as ride in group vs. single ride, weather conditions, etc. into account). Therefore, a sensor logging set-up is being created. In addition, a linked pacing plan modality will be made and implemented. With that, the team aims to improve training outcomes of cyclists of various levels and contribute to healthy sports participation (e.g. by avoiding overtraining and occurrence of illness or injury).
The project is based on previous research from the Exercise Physiology and Sports Nutrition research group at the Department of Movement and Sports Sciences (Prof. Jan Boone and colleagues), in collaboration with the Sports Data science group of Prof. Steven Verstockt at the Internet Technology and Data Science Lab (IDLab-UGent-imec).
For more detailed information on the vacancy and how to apply, have a look HERE.