Are you interested in developing cutting-edge generative AI that is inspired by how the brain works? In this PhD project you will design an artificial agent that executes haptic manipulation tasks as a human would, by leveraging embodied intelligence. This research requires a multidisciplinary approach, based on probabilistic (Bayesian) machine learning, soft robotics, and neuromorphic engineering. Please see this video (https://youtu.be/QYbcm6G_wsk) on Natural Artificial Intelligence for more information about our research.



Humans learn real-world haptic tasks through interaction with their environment. For example, through experience, children quickly learn to manipulate objects and solve physical puzzles. We continuously learn from sensory feedback, and actively seek sensory observations that inform our model of the world. In this PhD project, you will work towards the first integrated embodied AI system capable of human-like haptic exploration. This does not imply perfection, but behaviour that is relatable to a human user.

Your main task will be to design continuous learning algorithms for haptic exploration, based on a leading physics/neuroscientific theory about computation in the brain, the Free Energy Principle (FEP). You will implement your algorithms on a real-world (physical) soft-robotic system that simultaneously serves as a research platform and as a demonstrator.

This PhD project is funded by the EMDAIR program, which stimulates exploratory multi-disciplinary AI research. Therefore the project has a strong interdisciplinary character. You will work in the BIASlab team in the Electrical Engineering department at TU/e. This lab focuses its research activities on transferring FEP to practical use in engineered devices. During this project you will closely collaborate with other BIASlab researchers, as well as with project team members at the Reshape lab and the Neuromorphic Engineering lab in the Mechanical Engineering department.

Key areas of interest include Bayesian machine learning, probabilistic graphical models (factor graphs), soft robotics, neuromorphic computation and software development.

• A master's degree in electrical engineering, physics, robotics, computer science or similar (this is mandatory).
• A record that shows specific interest in any or more of the following fields: (Bayesian) machine learning, sensorimotor learning, intelligent robotics.
• Good written and spoken command of English (C1 level or better).
• A team player attitude, willingness to work hard and know how to have fun at it.

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. €2,872 max. €3,670).
• 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) for international candidates.

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. 

Curious to hear more about what it's like as a PhD candidate at TU/e? Please view the video (https://youtu.be/J76a-oN5YW8).

Information

Do you recognize yourself in this profile and would you like to know more? Visit our website for more information about the application process or the conditions of employment. You can also contact dr. Thijs van de Laar at t.w.v.d.laar@tue.nl for more information about the advertised position.

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 (max 1 page) 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.
• If you have written a MSc thesis (or published a scientific paper) in English, please send it along with your application or provide a download link.
• If you have written open-source software code, please provide a download link.
   

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.