Aging is associated with modifications of several brain structures and functions. These modifications then reverberate as modified behaviours. It has been proposed that some brain function modifications may compensate for some other deteriorated ones, thus maintaining behavioural performance. Teasing apart deteriorated versus compensating processes represents invaluable knowledge that could significantly improve the prevention and rehabilitation of age-related loss of mobility. At the behavioural level, however, mostly descriptive studies that measure crude motor performances exist in the literature. Such studies do not allow to finely understand compensating vs deterioration processes. To this aim, this research project aims at investigating well-defined motor control processes (motor planning, motor optimization, internal model calibration, sensory integration…) in healthy and pathological aging.
The Post-doctoral student will perform experiments with healthy young and older adults, as well as with non-healthy older adults. Our laboratory has a history of research on human adaptation to the gravitational environment. This knowledge wad mostly developed from studies on young healthy adults. A principal aim of this PhD project will be to further develop and transfer this knowledge to the aging field.
Dr. Jeremie Gaveau (PhD)
The candidate should have a PhD degree or equivalent level in movement science, neuroscience, computational neuroscience, biomechanics, gerontology or any related area. Experience with any of the following will be particularly appreciated: electroencephalography, motion capture (kinematics and EMGs), data processing, programming (matlab, python…), modeling and simulations, virtual reality. A strong interest in motor control and aging research is paramount.
Motor control, Electroencephalography, Kinematics, Electromyography, Modeling
September 29th
October 12 2023
Please send the following documents (all in one PDF file) by e-mail to jeremie.gaveau@u-bourgogne.fr :
- For EU candidates: Copy of your national ID card or of your passport page where your photo is printed.
For non-EU candidates: Copy of your passport page where your photo is printed. - Curriculum Vitae (may include hyperlinks to your ResearchID, Research Gate Google Scholar accounts).
- Detailed list of publications (may include hyperlinks to DOI of publications).
- Letter of motivation relatively to the position (Cover Letter) in which applicants describe themselves and their contributions to previous research projects (maximum 2 pages)
- Copy of your PhD degree if already available.
- Coordinates of reference persons (maximum 3, at least your master thesis supervisor):
Title, Name, organization, e-mail.