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  2. Assistant Professor: Artificial Intelligence in Biomechanics and Robotics

Assistant Professor: Artificial Intelligence in Biomechanics and Robotics

Are you passionate in science and ready to take a leadership role in your research career?

Apply now
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Key takeaways

  • Hours 38 - 40 hr.
  • Salary indication € 3,974 - € 6,181
  • Deadline 30 Sep 2022

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.

Your profile

  • 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.
  • Experience and passion in machine learning for biomechanical problems, programming in object-oriented languages, open-source coding projects.
  • Passion for teaching and 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.

Our offer

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 € 3.974,- and  € 6.181,- 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.
  • Technical support staff for your research.
  • 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.

Information and application

Apply by September 30th, 2022. Applications should include:

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: m.sartori@utwente.nl.

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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.

About The Faculty ET

Curious about what the Faculty of Engineering Technology (ET) stands for? Check out the ET website for more information.

A job that matters

Create new opportunities for yourself, your colleagues and our society. Scientist or teacher, administrator or facilitator, thinker or doer, energetic leader or silent support – your work at the University of Twente matters. And you too!

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.

Apply now

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.

Want to know more

Sartori, M. (Massimo)

Sartori, M. (Massimo)
Professor and Chair of Neuromechanical Engineering

Sartori, 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.

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