Jobbeschreibung
Die Hochschule für Gesundheit (HS Gesundheit) bietet unterschiedliche Studiengänge in Gesundheitsberufen an. Hierzu gehören klassische Gesundheitsfachberufe ebenso wie innovative Berufsfelder, die an der HS Gesundheit entwickelt werden. Absolventen/-innen der HS Gesundheit werden darauf vorbereitet, den aktuellen und zukünftigen Herausforderungen im deutschen Gesundheitswesen wirksam und professionell zu begegnen. Daher steht wissenschaftlich begründetes Handeln sowie interprofessionelle Zusammenarbeit an der staatlichen Hochschule für angewandte Wissenschaften im Vordergrund. Die Hochschule sucht engagierte Mitarbeiterinnen und Mitarbeiter, die die Weiterentwicklung der Hochschule im Zukunftssektor Gesundheit mitgestalten möchten – interdisziplinär, innovativ und offen für neue Perspektiven.
RESEARCH ASSOCIATE (M/F/D) IN THE RESEARCH PROJECT “PREDICTIVE EVIDENCE DRIVEN INTELLIGENT CLASSIFICATION TOOL FOR LOW BACK PAIN (PREDICT-LBP)-
Department Physiotherapy
The Hochschule für Gesundheit Bochum (University of Applied Sciences Bochum) offers a 90% position (35:51 hours per week) limited until February 28th 2026, which is to be filled at February 1st 2025. The successful candidate will be remunerated at pay band E13 TV-L.
- As a research associate you will assist in the data acquisition within the PREDICT-LBP (www.bit.ly/predict-lbp) project, which is funded by the German Aerospace Center (DLR)
- The candidate will assist with accurately acquiring physical, physiological, questionnaire, and pain perception data from healthy controls and back pain patients.
- Accurate and reproducible segmentation of para-spinal muscles in axial MRI (magnetic resonance imaging) scans.
- Following and assisting in improving current internal data acquisition guidelines and protocols.
- Masters (or international equivalent) in exercise science, sports science, physiotherapy, medicine, health science, rehabilitation science or another relevant discipline.
- General knowledge of spine and trunk anatomy.
- Experience in acquiring scientific study data in human participants.
- Experience with spine MRI data is not a necessity, but is greatly beneficial.
- Ability to work in teams.
- High attention to detail.
- Fluent in German and a strong English skills (written and spoken).
- The opportunity to work as part of an internationally networked musculoskeletal health research group (www.hs-gesundheit.de/msk)
- Your continued academic development will be facilitated and supported
- An attractive workplace offering a wide variety of challenging responsibilities in a modern university environment
- Welfare and other public-sector benefits such as a pension provided by the Versorgungsanstalt des Bundes und der Länder (VBL)
- Support with achieving a healthy work/life balance, e.g. through flexible/part-time working models, remote working and a parent-and-child office if needed
- A wide range of internal and external training and continuing professional development opportunities and an extensive sporting programme
Applications from people with severe disabilities will be given priority over those of other candidates. with equal qualifications. The Hochschule für Gesundheit is keen to increase the proportion of women employed in areas in which they are under-represented and to foster their careers in particular and would therefore expressly urge suitably qualified women to apply.
If you have any questions about this advertisement, you are welcome to contact Prof. Dr. Daniel Belavy [email protected].
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