RESEARCH ASSOCIATE / DOCTORAL STUDENT (f/m/d) for the research Project "multidimensional analytic... (Wissenschaftliche/r Mitarbeiter/in)

As a university of applied sciences, we are particularly committed tosustainable development. Based on our sustainability strategy, we integratesustainability into all degree programs, applied research, and our dailyoperations. With our campuses in Bochum and Heiligenhaus, we provide importantimpulses for the regional development of society and the economy. Numerouscollaborations underline our international focus. We aim to enhance the qualityof our teaching and research by appointing further dedicated and innovativeresearchers.In the Physiotherapy Division of the Department of Nursing, Midwifery andTherapy Sciences at Hochschule Bochum (Bochum University of Applied Sciences),a four-year position is available at the earliest possible date, and no laterthan March 2027, asRESEARCH ASSOCIATE / DOCTORAL STUDENT (f/m/d) for the research Project"multidimensional analytical approaches to improve LBP diagnosis and prognosis"as part of the DFG Research Unit "DYN3M" (EG 13 TV-L)The Project is funded by the German Research Foundation (DFG). The positionis fixed-term for a period of 4 years for academic qualification, with a focuson multimodal data analysis in low back pain. Remuneration is paid in grade E13TV-L, subject to the fulfillment of personal requirements. The working hourscomprise 23 hours and 54 minutes per week (60% of a full-time position). Aspart of this project, a cooperative doctorate at the Doctoral School NRW (PKNRW) is envisaged.The DFG-funded research project "DYN3M" (2026–2030) investigates the dynamicmechanisms of musculoskeletal health and the chronification of low back pain inorder to drive the transition from generic treatment approaches to precise,personalized pain therapy. As part of your doctorate, you will work at theintersection of neuroscience, biomechanics, and data science to examine theinterplay between the musculoskeletal system, neural movement control, andpsychological factors. In doing so, you will apply machine learning andartificial intelligence methods to analyze multimodal data, identifyhigh-dimensional signatures, and develop predictive models to evaluate whetherindividual healing trajectories exist and examing whether specific subgroupsexist for targeted treatments to optimize overall therapeutic success.Responsibilities:- Project coordination and operational implementation of the project.- In addition to project coordination with national and internationalpartners, the project includes conducting subprojects as part of your doctorate.- Learning and implementing quantitative data collection and analysismethods, including machine learning, as well as coordinating and draftingpeer-reviewed publications.- Participating in the development and application of state-of-the-art datascience models in close collaboration with consortium partners frombiomechanics, medicine, and psychology/psychosomatics.- Presenting research findings at national and international conferences andsymposia.- Implementing modern data management standards and, where possible, openscience publication of research outputs (metadata, analytical workflows, code,documentation, etc.) in compliance with the FAIR principles (Findable,Accessible, Interoperable, Reusable).- Interdisciplinary collaboration within the research team.Profile / Requirements:- A completed university degree (Master's degree or an internationallyequivalent degree) in physiotherapy, sports science, data science, statistics,medicine, health sciences, rehabilitation sciences, or a related field, as wellas relevant research experience.- Fulfilment of the formal criteria for enrolment as a doctoral candidate inthe "Social Work and Health" department of the Doctoral College NRW (PK NRW)(see admission requirements of the Department of Social Work and Health at PKNRW)https://www.pknrw.de/abteilungen/soziales-und-gesundheit/gestaltung-des-sozialen-und-gesundheitlichen-wandels- Very good written and spoken English skills (scientific communication) arerequired for the position; fluent German skills are not required.- Experience collaborating in interdisciplinary teams.- Proven experience in statistical analysis.- Experience in machine learning and artificial intelligence is advantageous.- Experience in project coordination, programming (e.g., R, Python), as wellas in preparing scientific publications and grant applications is desirable.What We Offer:You will work in an interdisciplinary team dedicated to musculoskeletal healthhttps://www.hochschule-bochum.de/forschung/ag-muskuskelletare-gesundheit/. Youwill receive comprehensive onboarding, benefit from flexible working hours, andhave access to a modern environment to implement your ideas and projects. Ahome office component as part of the position is possible.The position is classified under pay grade E13 of the Collective Agreementfor the Public Service of the German States (TV-L).Further information:Based on our equal opportunity policy, we aim to increase the proportion offemale researchers at our university and therefore particularly welcomeapplications from women.Hochschule Bochum has been certified as a family-friendly university sinceApril 2008. Applications from suitably qualified severely disabled persons orpersons of equivalent status within the meaning of SGB IX are expresslyencouraged.Are you interested?Then please apply by 04.11.2026exclusively via our online application portal.We look forward to meeting you!For specific inquiries, please contact Prof. Dr. Daniel Belavy, E-mail:[email protected], Tel: +49 [(0)234 36186 9168).Homeoffice:Umfang: Nach Vereinbarung