Computer Methods of predictive Neuro-mechanical Simulations of Human Movement
There is a full-time academic vacancy in the Department of Kinesiology, Human Movement Biomechanics Research Group at KU Leuven in the area of computer methods for predictive neuro-mechanical simulations of human movement. We are looking for internationally oriented candidates with an excellent interdisciplinary research record and with educational competence within the field of human movement biomechanics.
The Human Movement Biomechanics research group is embedded within the Faculty of Kinesiology and Rehabilitation Sciences. In the past, this faculty has systematically been given a high ranking for research and education quality by independent accreditation committees. The faculty has an extensive national and international network, both in the academic and business world.
The Human Movement Biomechanics research group can build upon a solid research infrastructure, an extensive international network, connections with companies and non-profit organisations, a stable offer of highly talented PhD students and a supportive work environment.
Within the Human Movement Biomechanics research group we investigate the causal relation between loading and loadbearing capacity of the musculoskeletal system during locomotion, while accounting for the mechanical and neurophysiological constraints of the musculoskeletal system. Within our research we use experimental measurement techniques (e.g. integrated motion capture and medical imaging) as well as dynamic simulations of motion. With this vacancy we aim to strengthen the expertise in computational methods underlying dynamic simulations of motion and biomechanical modelling.
You develop a research programme on computer methods underlying predictive simulations of motion based on neural and muscular models, representative for the subject-specific characteristics (patient as well as (elite) athlete).
This implies that you develop and validate predictive neuro-mechanical simulations of human movement, in collaboration with the relevant research groups. This implies (1) formulation of complex optimization problems, (2) development of new control methods representative for the control of 3D multi-segmental motion accounting for documented physiological and neurophysiological control strategies and (3) development of numerical techniques for personalizing dynamic neural and musculoskeletal models.
You collaborate closely with the members of the research group and actively assist in the carrying out of the ongoing research projects. You support national and international collaborations of the research group and help promote and further develop these. You also actively assist in the development of the group's future research projects.
You publish at the highest scientific level, acquire resources for your research, develop international collaborations and supervise PhDs at an international level.
You give the necessary attention to the valorisation on behalf of government and business in applied research.
TeachingYou ensure high-quality education within the area of human movement biomechanics, with a clear commitment for the quality of the programme as a whole. You teach biomechanics to bachelor students in Physical Education and Kinesiology, Rehabilitation sciences and Physiotherapy in Leuven as well as in Brugge, as well as master students in Physical Education and Kinesiology.
You also contribute to the pedagogic project of the faculty/university through the supervision of master theses and as a promoter of PhD students.
You develop your teaching duties in accordance with KU Leuven's vision on activating and researched-based education and make use of the possibilities for the educationalist professionalisation offered by the faculty and the university.
Service Scientific, social and internal services are also part of your job. You provide advice and support for research projects in collaboration with the researchers and the PhD students of the various research groups within the department. You actively explore valorisation possibilities of ongoing research activities.Skills :
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