This PhD position is about the continuous visual guidance of locomotor behavior in team sports. In this project, you will develop and test ecological models of how athletes (decide to) act upon moving targets. Existing models typically dissociate decision making and motor control. Either focusing on the information that is needed to perceive relevant action possibilities (known as affordances) or focusing on the information that is needed to control behavior (known as control laws).

In a recent modelling study on the kinematics of catching in baseball, we found that the information that guides the control of action might actually be the same information that also informs decision making. This unification of information challenges traditional models of control in perception-action research. With this PhD project, we aim to extend our model to include all interceptive behaviors in sports, such as tackling / evading an opponent or running to receive a pass.

In this position, you will collect kinematic data that allows you to make inferences on the perceptual information that is used to guide interceptive behaviors in sports. Data may be collected using sensor platforms such as XSens Link; OptiTrack; JohanSports GPS tracking; and Tobii eye tracking. You will also work with – and build on – Virtual Reality setups that allow you to investigate interceptive behaviors in a range of sport specific scenarios. You will perform high quality and internationally visible research that gets published at top tier conferences and journals.

• You have, or will shortly acquire, a master’s degree in human Movement Sciences; Sport Science; Interaction Technology; Biomedical Engineering or a related degree with a focus on human movement and movement technology.
• You have experience with or interest in Ecological Psychology / Ecological Theory
• You have experience with modelling and simulating movement kinematics.
• You have experience in collecting, processing, and analyzing biomechanical / biodynamical / kinematic data.
• You have good scientific programming skills for example in MATLAB, Python, and R statistics. Experience with Unity is a plus.
• You are proficient in English for communication, both in writing and oral

• As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a stimulating and exciting scientific environment;
• The University offers a dynamic ecosystem with enthusiastic colleagues;
• Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
• You will receive a gross monthly salary ranging from € 2.872,- (first year) to € 3.670,- (fourth year);
• There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
• A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
• Free access to sports facilities on campus
• A family-friendly institution that offers parental leave (both paid and unpaid);
• A training programme as part of the Twente Graduate School where you and your supervisors will determine a suitable plan for education and supervision;
• We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

You will work in the Human Media Interaction group at the faculty of Electrical Engineering Mathematics and Computer Science (EEMCS) of the University of Twente in close collaboration with the Human Movement Sciences department at the University of Groningen and the Cognitive Science department of the Rensselaer Polytechnic Institute in state New York.

The Human Media Interaction group does research into multimodal interaction: from brain computer interfaces to social robots. Part of the HMI-group is the Sports Interaction Technology interest group, researching how interactive technologies like virtual reality and interactive climbing walls may be used to support or better understand sports and movement. The HMI group is a group of enthusiastic, kind, and passionate researchers with an open mind to science and society.

The Human Movement Sciences department at the University of Groningen is one of the leading centers on movement and sport science with great expertise on the visual control of action.