Doctoral Research Associate

vor 3 Wochen


Bern, Schweiz Universität Bern Vollzeit

Institute of Sport Science, University of Bern
Start of employment: 1 September 2024
We are offering a fixed-term full-time position for 3 years until 31 August 2027

We are seeking to fill the position for the EU-funded Marie Skłodowska-Curie Actions (MSCA) Doctoral Network “Translational Research Network in Motor Disorder Rehabilitation: Advancing understanding of variability in motor control and learning, to enhance clinical practice (TReND)”.The employment conditions are according to MC rules. More Information about the project can be found at:

Your tasks Work on the following topics: (1) functional mechanisms for handling uncertainty in sensorimotor control and learning, (2) sensorimotor control and learning in Parkinson Disease Patients and/or older adults, with a particular focus on investigations on behavioural movement variability in different (patient) populations (experimental studies and data analysis). Communication and dissemination of research results to different target audiences and sectors (e.g., research, clinical and industry). Publication of research results in well ranked international journals and at highly recognized international conferences. Collaboration with an international consortium in the externally funded MSCA doctoral network TReND Participation in the network's training programme including in person events (e.g., summer schools) and online events (e.g., lecture series, colloquia etc.). Working towards a doctorate within the specified contract period. Our expectations A graduate degree (master's degree) in sport and exercise science, human movement science, cognitive science, biomedical engineering or related subjects is required. MSCA mobility rule must be implemented, meaning that researchers must not have resided or carried out their main activity (work, studies, etc.) in Switzerland for more than 12 months in the 36 months immediately before their date of recruitment (1 September 2024). Candidates are not allowed to hold a doctoral degree. Advanced knowledge in human movement science. Good knowledge of statistical methods. Good command of written and spoken English. Willingness to visit the network partner in Germany (Münster) for two months. Willingness to travel to different international network events.
Desirable: Solid knowledge in human movement analysis (especially in motion tracking) Basic or advanced knowledge in programming skills and data analysis tools (e.g., R, MATLAB, Python). Previous experience in working with human subjects and patients German language skills are not a requirement but a willingness to learn is expected. Good communication and organisation skills, self reliance and team orientation. Advantages for you By joining the EU-funded Doctoral Network TReND you will join an interdisciplinary and intersectoral training network involving 6 beneficiaries, 2 employing associated partners and several associated partners. The network will provide online and in-person training to support the fellows in obtaining their doctorate degree including secondments to consortium partners. Appreciation, commitment, openness and respect – values which are important to us. Our broad range of diverse work-time models offers great flexibility – also when working from home. If you have family members or young children in your care, we offer support to help you balance your private and professional responsibilities. As an educational institution, we are deeply committed to offering occupational training and continuing education opportunities tailored to your individual needs. Recruitment process: Please note that the other network partners will also be involved in the selection process and that your documents will be passed on to the other members of the MSCA doctoral network in this context. In addition to the position offered here, 11 more doctoral projects are available in the TReND network (overview of projects can be found here: .
The following documents must be included in the application: Motivation letter in English (max. 2 pages) CV in English (preferably in EU pass format) that should include details about education/qualifications, work experience, language skills and other relevant skills Bachelor's and Master's degree certificate including a transcript of records (if documents are not in English or German language, please provide an official translation) Any other document the candidate considers important Please provide all your documents in one single PDF file. The applications will be evaluated by the TReND selection committee and suitable candidates will be invited for online interviews.

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