Delft University of Technology, Netherlands
Assistant Professor Computational Neuromusculoskeletal Biomechanics (Tenure Track)


Recently, at the department of BioMechanical Engineering of Delft University of Technology, The Netherlands, a Chair of Clinical Biomechatronics (Prof. Jaap Harlaar) was established aiming to further develop the clinical applications of Biomechatronics, also in collaboration with clinical partners. The department is now looking to further strengthen this research area by appointing an assistant professor on Computational Neuromusculoskeletal Biomechanics.


Human movement is essential to living a meaningful life. Clinically, regaining the motor performance is focused upon in such diverse disciplines as rehabilitation & physical medicine, orthopedics, and neurology. Diagnosis of the neuromusculoskeletal system is critical for precision medicine in these areas, i.e. the right therapy for the right patient. This includes human movement analysis, application of musculoskeletal models, and imposed perturbations to identify neuromuscular parameters. Over the last decennia, the use of musculoskeletal models has proven to greatly enhance musculoskeletal diagnostics. However, some issues are still hindering full exploitation of its full potential. That includes (1) how can motion control (i.e. the neurological system) be effectively incorporated into these models, which is especially important in the case of neuro rehabilitation (2) how can models be meaningfully individualized, driven by targeted measurements (either based on imaging (US/MRI/CT) or system identification from perturbations) (3) multiscale modelling (in collaboration with the Tissue Biomechanics section): how can biomechanical analyses of movement be transferred to cell and tissue scales especially in the case of cartilage to analyze the onset and progression of skeletal diseases. (4) how can biomechatronics be defined and in silico evaluated using integrated computational modeling to yield optimal support for human movement.
We expect that the assistant professor appointed for this position (Computational Neuromusculoskeletal Biomechanics) presenting highly innovative ideas to address the above-mentioned challenges. This concerns contributions to the research as well as to the educational programs of our department.
The position offers a wide range of opportunities to perform collaborative, integrated research that can be applied to better understand, prevent and/or treat injury and disease including those associated with sports.


Successful candidates will have a research background in biomedical engineering or a related field, and use any combination of experimental, theoretical, computational or other approaches. Applicants must have earned a Ph.D. in biomedical engineering or related discipline and possess a strong research track record. They must show evidence of potential for excellence in teaching at the university level and have strong oral and written English communication skills. The successful applicant will actively contribute to research, teaching, curriculum development, and student supervision. The successful applicant will be expected to establish an externally funded research program, teach at graduate levels, and participate in professional and university service. In time, it is expected that the successful applicant will grow into a leadership role within the Department of Biomechanical Engineering.

  • A cover letter
  • A curriculum vitae
  • A statement of research interests and forward-looking vision (5 years; 10 years) not to exceed 2 pages.
  • A statement on development and contribution to education; not to exceed 1 page.
  • The names and contact information of at least three referees.

Applications (as PDF file(s)) mailed to before 31 July 2018, may be addressed to Prof. Jaap Harlaar, chair of the selection committee, who also can be reached for further inquiries at: or in person at the World Congress of Biomechanics in Dublin (8-12 July 2018).
When applying for this position, please refer to vacancy number 3mE18-42.

The attached PDF contains extended information on the job and general employment details
Attached Files