Below you will find vacancies in my research group.
I am truly humbled by the interest of many prospective students to come and work with me. However, besides any vacancies listed below,
-> I have no other vacancies. <-
If you are interested to work with me, please follow me on socials or keep track of this website. Please do not email me; I am afraid I cannot respond to these requests!
Other Opportunities
- Student Projects: In general, I am happy to supervise master projects for current TU Delft students, please look here.
- Internships: I am afraid that I cannot offer internships. Please do not email me requesting internships; I am afraid I cannot respond to these requests.
Postdoc Bayesian Reinforcement Learning for Learning to Collaborate with Humans
Are you passionate about AI and do you want to advance the frontier of human-AI collaboration?
Together with Jan-Willem van de Meent, I am seeking a motivated postdoctoral researcher to join our team and explore the exciting intersection of Bayesian reinforcement learning, deep learning and human-AI interaction. This position focuses on developing adaptive algorithms that enable AI agents to learn, reason, and collaborate effectively with human partners in dynamic, uncertain environments. By integrating Bayesian reasoning you will address the sample complexity of reinforcement learning, making it applicable to human-AI collaboration settings.
At Delft University of Technology we are looking for a postdoc who wants to push machine learning beyond traditional settings that assume a fixed dataset. Specifically, collaborating with people requires both reasoning about the sequential aspects of the interaction, as well as adapting based on very few data points. Many reinforcement learning methods, however, require a very large set of experience. We aim lower this sample complexity, by building exploring reasonable assumptions (e.g., from cognitive psychology) on goals and behaviors of humans, thus making an important step towards AI that can effectively adapt to its human collaborator.
The postdoc will be based in the sequential decision making group at the department of intelligent systems, and will benefit from the network provide by the ELLIS Unit Delft. Additionally, this postdoc position is part of the Hybrid Intelligence project and the successful candidate will be supervised by Dr. Frans Oliehoek (TU Delft) and Dr. Jan Willem van de Meent (University of Amsterdam). The successful candidate will attend project meetings and actively collaborate with a variety of project partners.
Please apply here.