Post-Doctoral Position: Development of a robotic system for training 3D skeletal muscle tissues engineered in vitro
Are you interested in breakthrough rehabilitation robotic technologies for restoring movement following neuromuscular injuries? Are you passionate about designing and developing robotic systems for skeletal muscle regeneration? Would you like to apply robotic design, fabrication and control in the context of tissue-engineered skeletal muscles in vitro?
Job Description
The Neuro-Mechanical Modeling and Engineering Lab (http://bit.ly/NMLab) is seeking for an outstanding post-doctoral fellow to work within our new Project ROBOREACTOR funded by the prestigious European Research Council (Consolidator Grant). You will join an international team working on a novel and ambitious project at the frontiers of robotics, muscle physiology and regenerative medicine (http://bit.ly/NMLTube).
The opening
You will develop a robotic system to pace (i.e., both mechanically and electrically) skeletal muscle tissues engineered in vitro from human-induced pluripotent stem cells. The envisioned robotic system will enable skeletal tissues to be simultaneously stretched (i.e., via movable pillars), while receiving electrical stimulation (i.e., via carbon electrodes). The robot will deliver closed-loop controlled mechanical strain to the tissue under various levels of activation over a period of 4 weeks to study tissue structural remodeling.
Your tasks will be:
- Design and develop the robot for tissue pacing including:
- Selection of biocompatible materials for the robot structure.
- Selection of sensors for closed-loop control, to be compatible with a cell culture incubator, visible light and fluorescence microscopy as well as stimulation electrodes.
- Development of low-level controllers of tissue strain and electrical activation.
- Conduct in vitro experiments, perform tissue handling and analyses (e.g., (immuno)histology, imaging, or qPCR analyses) to assess the efficacy of the robot in promoting muscle tissue growth over a 4-week period. This task will be conducted together with a PhD candidate team member.
Your work will be facilitated by in-house expertise and mentorship. You will collaborate with top-scientists on aspects including muscle-on-a-chip and statistical modelling, giving large opportunity to perform impactful research!
Information and application
Apply by August 26th, 2024. Applications must include the following documents:
- A video (2-minute max) describing your scientific interests and why you want to apply for this position.
- A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing work in your masters.
- A CV including English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list.
- Contact information for at least two academic references. A support letter will be requested only if your application is considered.
The first interview will take place in the week of September the 9th. Start of the contract is expected as soon as possible and no later than December 2024.
For questions, please contact Prof. Massimo Sartori, mail: m.sartori@utwente.nl. Please, only apply via the web platform and not via email.
About the department
ERC Consolidator Grant ROBOREACTOR: Is it possible to regenerate new, healthy biological tissues in the human body after neuro-muscular injuries such as a stroke? Can we develop intelligent robots that autonomously discovers the electro-mechanical stimuli needed for skeletal muscles (and its innervating spinal motor neurons) to regenerate over time, potentially outperforming conventional rehabilitation? These are some of the questions my team and I will address in the coming 5 years. We will do that by proposing radically new sensor-driven, AI-powered computational models to predict structural remodelling in the skeletal muscle across large time scales i.e., weeks to months. We'll use these predictive models to command rehabilitation robots closed-loop control key muscle adaptation and remodelling both in vitro and in vivo.
European Research Council (ERC)'s mission is to encourage the highest quality research in Europe through competitive funding and to support the best of the best in Europe's frontiers research
About the organisation
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.
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