Job description
Are you excited at the prospect of becoming an expert in the emerging field of bio-digital devices? Are you eager to investigate the potential of digital twin technologies to transform the way that designers create bio-digital products? Do you want to work at the intersection of AI, electronics and biology, and have a foundation in data-driven solutions? Then this could be the opportunity you’ve been waiting for – We are seeking an enthusiastic and self-driven graduate student to join our team!
Job Description
This project focuses on designing and developing advanced AI-empowered systems that integrate physical and digital technologies to support the creation of bio-digital devices. These may include adaptive incubators for premature babies, life support systems, and other devices that interact with living organisms. The project focuses on digital twins of biological processes, integrating biomechanical and biochemical data into a platform that can support designers in designing bio-digital devices. These digital twins can support product designers with dynamic feedback to simulate and analyze the interaction between product and biological systems in the early stages of the product design process. Eventually this may improve their safety, function and usability and the efficiency of the development process.
You will develop a framework and platform with associated physical and digital tools for allowing knowledge from computational biology to support the design of bio-digital devices.
To do so, you will:
- Research and develop tools to support the integration of physical and digital systems with biological data.
- Apply techniques from Artificial Intelligence to research, analyze, develop, implement, and evaluate algorithms, and models related to bio-digital device design.
- Integrate data-driven and model-driven digital twins of biological systems with sensor- and actuator-enabled physical systems to simulate and evaluate interactions of bio-digital devices within a specific environment.
Job requirements
- A master’s degree (or an equivalent university degree) in an area relating to (Computational) Biomedical Engineering, Mechanical Engineering, Computer Science, Human-Computer Interaction, or a closely related topic.
- Knowledgeable in system development, including front-end and back-end development. Familiar with AI techniques (e.g., machine learning, deep learning, predictive analytics) and data-driven approaches (e.g., data processing, data visualization, and data modeling).
- Experience with modelling biological processes.
- Motivation and ability to work in an interdisciplinary team including designers and healthcare professionals, to understand their needs, conduct co-design activities, and perform evaluation work.
- Familiarity with design thinking methodologies, academic writing and publishing scientific research, and collaborative research projects will weigh positively. Experience in integrating AI-based insights into the design process will be considered an advantage.
- Fluent in spoken and written English (C1 level).
- A research-oriented and open-minded attitude.
Conditions of employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
- Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2.901,00 max. €3.707,00).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure, on-campus children’s day care and sports facilities.
- An allowance for commuting, working from home and internet costs.
- A Staff Immigration Team and a tax compensation scheme (the 30% facility, if applicable) for international candidates.
Information and application
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact dr. Juliette van Haren (j.s.v.haren@tue.nl), dr. Janet Huang (y.c.huang@tue.nl), or prof.dr. Panos Markopoulos (p.markopoulos@tue.nl).
Visit our website for more information about the application process or the conditions of employment. For information about terms of employment, please contact HR Services (hrservices.id@tue.nl).
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button. The application should include a:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae, including a list of your publications and the contact information of three references.
The deadline to apply is March 7th, 2025. The intended starting date for this position is October 2025 (negotiable). We do not accept applications sent by e-mail or incomplete ones.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
