Assistant Professor in Artificial Intelligence and Sensing Technologies for the Neuromuscular System
Assistant Professor in Artificial Intelligence and Sensing Technologies for the Neuromuscular System
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Job description
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.
Areas of expertise may include (but are not limited to):
- Novel novel applications of wearable sensors and AI for personalized health care technologies.
- Development soft wearable sensing hardware for measurement of e.g., bio-electrical signals in neurons, nerves, and skeletal muscles as well as kinematics and kinetics measurement of skeletal muscles and body motions.
- Development of AI-algorithms for the extraction of information from networks of multi-modal sensors.
- Computational tools for speeding up AI-analytics from large sets of data.
- Continuous assessment of musculoskeletal health, technologies for collecting large-scale datasets, or AI-based prediction of injury risks or onset of degenerative disorders.
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.
Specifications
- max. 38 hours per week
- €4332—€5929 per month
- Enschede View on Google Maps
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University of Twente (UT)
Requirements
- PhD degree and expertise in a field relevant for the position.
- Ability to define and pursue your own research direction, evidenced by the track record in publications, grant acquisition and recommendations.
- Experience in writing research proposals and obtaining external funding.
- Ability to collaborate in research, educational and organizational projects.
- Passion for teaching also on aspects including software programming.
- A University Teaching Qualification for Dutch Universities, a similar qualification, or you are willing to obtain this within 2 years after your appointment.
- Ability to supervise, train, and support early career researchers.
- Excellent communication skills and command of English.
- Interpersonal and organizational skills.
Conditions of employment
We offer a full-time position for 1 year with the prospect of a permanent position after a positive evaluation:
- Attractive employment conditions including: 30% tax ruling, 8% holiday allowance, 8.3% end-of-year bonus, solid pension scheme, sabbatical leave, professional and personal development programs.
- A gross salary between € 4332,- and € 5929,- per month, depending on experience and qualifications;
- Professional and personal development programs.
- Well-equipped labs with professional lab technicians, like the Neuromechanics, Surgical Robotics and Wearable Robotics labs.
- A start-up package that includes funding for the recruitment of 1 PhD to help in kickstarting your research.
- Possibilities to collaborate with nearby companies and clinical institutions.
- Proximity to Enschede, a mid-size city with a large social offer, immersed in the nature of the Twente region.
- A family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.
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:
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:
Specifications
- Professor
- Engineering
- max. 38 hours per week
- €4332—€5929 per month
- Doctorate
- 1319
