We are looking for someone who is capable of merging artificial intelligence with biomechanical modelling to carry out predictive simulations of biological tissue adaptation, human movement or human-robot physical interaction. We're interested in a person who is passionate about the development of in silico trials for designing (in simulation) optimal interventions for a wide range of applications ranging from rehabilitation to performance training. So, if you have original ideas on how to address healthcare challenges via advanced computational machine learning and modelling techniques, please join our multidisciplinary and inclusive team.
The successful candidate will join the growing Chair of Neuromechanical Engineering, within which we bring forward our passion to understand human movement, neuromuscular impairment as well as how assistive robots can interact with humans to restore physiological motor function.
We are looking for someone who connects and strengthens our research and educational program on AI in biomechanics and robotics, but will bring complementary expertise to our group. The candidate is expected to participate in teaching, supervise students in their graduation assignments, and contribute towards the supervision of PhD candidates.
In this role you will have the opportunity to directly appoint your own PhD candidate, with the possibility to grow across Professorship stages. All your work takes place on the beautiful, green campus in Twente.
Information and application
Apply by September 30th, 2022. Applications should include:
- A video (2-minute max) describing your scientific interests and why you are applying for this position.
- A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing your scientific work.
- A CV including English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list.
- Contact information for at least three academic references. A support letter will be requested by us only if your application is considered.
The first (online) job interviews will take place between 10th / 14th of October, 2022.
The successful candidate will begin around January, 2023. For questions, please contact Prof. Massimo Sartori, mail: email@example.com.
About the department
Chair of Neuromechanical Engineering
You will be working within our academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio-inspired assistive technologies. Our goal is to establish a roadmap for discovering fundamental principles of movement at the interface between humans and wearable robots ultimately for improving human health. But, we are always open to embrace new approaches! Together with industrial leaders and an extensive network of clinical institutions, we cover the entire trajectory from modelling a given subject population to the development of assistive robotics technologies. Our work is facilitated by the University's TechMed Centre, the Robotics Center and the Digital Society Institute. Please, also check out our pages:
The Department of Biomechanical Engineering
You will also become a staff member of our Department. This consists of over 80 members and is engaged in a broad range of biomedical research topics. We focus on the design and control of medical robotic systems for a variety of clinically-relevant applications. Our department has a strong focus on prostheses, wearable exoskeletons, artificial organs, surgical robots, and rehabilitation robots. For example, the research in our department ranges from design and image-guided control of macro-micro-scale surgical robots, to developing neuromusculoskeletal models for control of both bionic limbs, to design and real-time control of soft wearable exo-suits. Moreover, we also evaluate our medical robots in pre-clinical trials. In collaboration with industrial leaders we also conduct research with existing commercial medical robots to further improve the technology.
We are part of the TechMed Centre, and have an extensive network of clinical institutions with whom we collaborate. We are also part of the MESA+ NanoLab, and have access to world-class cleanroom facilities. To learn more about the research within the Department of Biomechanical Engineering check our website
About the organization
The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.