43,000 students and 8,000 employees in teaching, research and administration, all working together to shape perspectives for the future – that is the University of Münster. Embedded in the vibrant atmosphere of Münster with its high standard of living, the University’s diverse research profile and attractive study programmes draw students and researchers throughout Germany and from around the world.

The Institute of Sport and Exercise Sciences, Department Neuromotor Behavior and Exercise at the University of Münster, Germany, is seeking to fill two positions of a

Doctoral Research Associate (EU Forscher*in)

(salary level E 13 TV-L or funding corresponding to EU regulations, depending on what is more advantageous in the employee’s individual case)

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)” commencing on 1 September 2024. We are offering a fixedterm full-time position for 3 years until 31 August 2027. More Information about the project can be found at: https://www.uni-muenster.de/Sportwissenschaft/Neuromotor-Behavior/forschung/trend/index.html).

Your tasks:

Work on one of the following subjects/topics: (1) motor control and neurophysiological correlates in Parkinson Disease Patients or (2) motor learning in older adults
This includes Investigation of neural and 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.).
The position is tied to working towards a doctorate

Our expectations:

A postgraduate degree (master’s degree) in sport and exercise science, human movement science, cognitive science, neuroscience, biomedical engineering or related studies is required.
MSCA mobility rule must be implemented: researchers must not have resided or carried out their main activity (work, studies, etc.) in Germany 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, Parkinson Disease, or neuroscience methods (EEG or fNIRS)
Good knowledge of statistical methods
Good command of written and spoken English.
Willingness to visit network partners in France (Marseille), Switzerland (Bern) and Israel (Tel-Aviv) for a maximum duration of three months per visit.
Willingness to travel to different international network events

Desirable:

Solid knowledge in human movement analysis (e.g., motion tracking, force control) or neuroscience methods (e.g., EEG, fNIRS)
Basic or advanced knowledge in programming skills and data analysis tools (e.g., R, MATLAB, Python).
Basic knowledge of time-series analysis
Previous experience in working with human subjects and patients
German language skills are not a requirement but a willingness to learn is expected.
Team-oriented, good communication skills, organisational skills, can work independently

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 2 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, our Family Service Office offers concrete 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.
From A – Z, Aikido to Zumba, our sport and health programmes ensure a healthy work-life balance.

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 two positions offered here, 10 more doctoral projects are available in the TReND network (overview of projects can be found here: https://www.uni-muenster.de/Sportwissenschaft/Neuromotor-Behavior/forschung/trend/index.html
The following documents must be included in the application: o 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 document in one PDF file.
The applications will be evaluated by the TReND selection committee and suitable candidates are invited for online interviews.

The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions.

We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.

If you have any questions, please contact Dr Julian Rudisch (julian.rudisch@uni-muenster.de).

Are you interested? Then we look forward to receiving your application as one PDF file by 2024-05-03.

to sandra.buschkoetter@uni-muenster.de Please note that we cannot consider other file formats

Reference number: 2024_04_08