Postdoc neuroscience-inspired intelligent autonomous agents
Postdoc/tenure track position on Neuroscience-inspired Intelligent Autonomous AgentsAcademic environmentEindhoven University of Technology (TU/e) is one of …
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
FunctieomschrijvingPostdoc/tenure track position on Neuroscience-inspired Intelligent Autonomous Agents
Eindhoven University of Technology (TU/e) is one of Europe's top technological universities, situated in the heart of one of Europe's largest high-tech innovation ecosystems. Research at TU/e is characterized by a combination of academic excellence and a strong real-world impact. This impact is often obtained via close collaboration with high-tech industries. TU/e consistently achieves a global top position in university-industry collaboration rankings, and is a breeding ground for spinoff and startup companies.
Within TU/e, BIASlab (Bayesian Autonomous Intelligent Systems Lab, (biaslab.org ), headed by prof. Bert de Vries (https://biaslab.github.io/member/bert/ ), seeks to advance the state of the art in Artificial Intelligence beyond the current focus on deep learning. We aim to develop intelligent autonomous agents that learn purposeful behavior through situated environmental interactions by exploiting advanced neuroscience insights and theories. Our approach to the design of intelligent agents is inspired by the Free Energy Principle (https://en.wikipedia.org/wiki/Free_energy_principle ), which is a computational theory of self-organization in biological systems (particularly the brain). In short, we aim to develop synthetic active-inference agents that can be utilized for engineering applications. Ultimately, we want to use these agents to automate the development of novel signal processing algorithms under in-situ conditions, e.g., for quantified-self applications in hearables and other wearables. Please browse our web page biaslab.org for an overview of our research interests.
It is expected that the candidate takes on a leading role within BIASlab, working together with PhD students, the project PI and international colleagues. Key areas of interest include Bayesian machine learning, computational neurosciences and signal processing. Different contractual options (contract duration, tenure track options, etc.) can be discussed, depending on the candidate's background and interests.
ArbeidsvoorwaardenWe offer the following:
For more information about the position, contact Prof.dr.ir. Bert de Vries, Dept. of Electrical Engineering, Eindhoven University of Technology (Netherlands), email firstname.lastname@example.org
More information on employment conditions can be found here: www.tue.nl/en/university/working-at-tue/working-conditions/ .
If you are interested in this position and would like to apply, we request you to use the "Apply now"-button.
Your application should be addressed to prof. De Vries. Applications must include the following:
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