We seek exceptional candidates with proven expertise in combining wearable sensors with AI-data analytics. We seek candidates with expertise either at the software or hardware development levels. We look for applications combining AI and sensing to measure signals such as those related to the neural control of skeletal muscles, skeletal muscle mechanics, skeletal joint bending, etc., where such information is crucial and widely applied in scenarios such as personalized healthcare technologies, or musculoskeletal injury prevention, or assistive robotics, or human–machine interactions, or for the deeper understanding of human movement or neuro-rehabilitation processes. We're looking for candidate with proven capacity to teach at BSc and MSc levels.
Areas of expertise may include (but are not limited to):
So, if you have original ideas on how to advance the development of AI-sensing technologies, 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 interface the human neuromuscular system with robotic systems ultimately to enhance human health.
We are looking for someone who connects and strengthens our research and educational program on AI sensors 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 the next Professorship stages e.g., Associate Professor. All your work takes place on the beautiful, green campus located in the Twente region.Your profile
We offer a full-time position for 1 year with the prospect of a permanent position after a positive evaluation:
Apply by September 29th, 2023. Applications should include:
Incomplete applications will be discarded. Please, only apply via the University of Twente's online portal (do not apply via email).
The first interview will take place in the week of October 9th., 2023. The successful candidate will begin in early 2024.
For questions, please contact Prof. Massimo Sartori.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 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.Want to know more Sartori, M. (Massimo)
Professor and Chair of Neuromechanical EngineeringSartori, M. (Massimo)
Professor and Chair of Neuromechanical Engineering
Do you have questions about this vacancy? Then you can contact Massimo for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.Contact
Email:[email protected]How to apply Step 1
Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.Step 2
Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.Step 3
1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.Step 4
2nd interview. In the second interview, we will further discuss the job content, your skills and your talents.Step 5
The offer. If the conversations are positive, you will be made a suitable offer.Your Colleagues
Personal pageKooij, H. van der (Herman)
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