Movement Biomechanics and Data Expert

The “Human Motion, Orthopaedics, Sports Medicine, Digital Methods” (HOSD) unit is a transversal and translational research group at the Luxembourg Institute of Health (LIH) and the Department of Precision Health (DoPH).  We conduct and support research related to movement, physical activity, physical function and mobility using laboratory-based, free-field, real-world and digital tools in orthopaedics and sports medicine, including applications in other disease areas.
HOSD develops, validates, translates and applies, in research and clinical trials, movement analysis and activity monitoring methods and metrics for clinical outcome assessment, defining novel digital mobility biomarkers, patient stratification or as the basis for treatment modalities (e.g. exercise or physical activity interventions, rehabilitation) and patient engagement (e.g. coaching advice, patient-centred care, participatory medicine).  We operate a stationary movement laboratory (Human Motion Lab), alongside digital technologies for mobile, remote and real-world motion capture and activity monitoring of patients and healthy control subjects.
In expansion of these activities, particularly towards executing a European research project, we are seeking a versatile and hands-on “Movement Biomechanics and Data Expert” and team member who combines expertise in applied clinical movement biomechanics, wearable sensing technologies, and advanced data science and serves as the core operational and technical pillar of our motion laboratory.

Key Accountabilities

• Operate motion lab-based equipment (marker-based and markerless optical systems, force plates, EMG, etc.), as well as devices for field-based and real-life motion analysis and activity monitoring (sensors, wearables, computer vision, digital tools, etc.).
• Perform motion analysis of patients, athletes and control subjects for pre-clinical and clinical research, trials, or sports performance analysis.
• Maintain, connect, calibrate and update measurement devices, laboratory equipment, related software and algorithms towards reliable operability and plannable availability.
• Process and analyse motion capture and activity monitoring data by using and customizing existing code pipelines, as well as developing new algorithms and data-processing  routines. This relates also to new methods such as wearables, markerless motion capture, machine and deep learning (ML/DL) and artificial intelligence (AI) driven methods.
• Support and conduct (part of) research projects related to the above-mentioned research domains, technologies and methods, in particular to a European project (horizon-smile.eu) involving the recruitment, instruction, motion capture and movement analysis of patients and healthy control subjects.
• Contribute to research activities in particular related to adopting AI-based methods to enhance, democratize, and accelerate the capture (e.g. computer vision) and analysis of human motion as a major domain of health and digital biomarker for precision health.
• Collaborate with researchers, physiotherapists, medical doctors and sports medicine specialists from partner organisations in the jointly operated laboratories and projects.

Key Skills, Experience and Qualifications

• Education: Master’s degree (MSc, MEng) in movement science, kinesiology, biomedical engineering, physiotherapy with a proven track record of hands-on data processing (Python, MATLAB) or equivalent qualifications in related areas.
• Movement Biomechanics: Strong qualifications and experience related to the application of movement biomechanics in research, clinical practice, sports medicine or performance are highly regarded.
• Lab practice: Solid experience with independently performing lab-based movement analysis (3D video motion capture, force plates, EMG, etc.).
• Professional Experience: At least 3 years of relevant professional experience related to the key accountabilities, specifically in movement biomechanics, motion lab operation and biomechanical data analysis.
• Emerging Technologies: Experience and interest in operating and advancing new and out-of-lab (clinic, field, real-world) movement analysis and activity monitoring techniques including wearables, markerless systems, computer vision, pose estimation, and AI-driven methods.
• Signal & Data Analysis: Advanced know-how of analysing movement and activity signals and data (Python, MATLAB, ML/AI based methods, others) including related programming skills.
• Mindset: Curiosity, open mind and flexibility to join an enthusiastic team and support future developments in agility to the evolving demands and opportunities.
• Languages: Fluency in English plus one of the main languages in Luxembourg is an asset.

What we offer

Researchers have the opportunity to work in an interdisciplinary & international scientific environment, benefiting from diverse exchanges with other students and scientists in and across the department.  
An environment allowing further training in a variety of health-related domains, fostering the acquisition of transferable skills around presentation & communication skills, scientific English, and statistics.