The Eindhoven Artificial Intelligence Systems Institute (EAISI) is funding 2 PhD positions for the highly innovative BayesBrain project, in collaboration with the departments of
The challenging goal of the project is to design an in-vitro AI computer which leverages the computation of neural cultures to solve real-world AI problems. This hybrid approach will consist of an in-silico Bayesian control agent and a Brain-on-Chip device, which shall communicate via the common principle of Free Energy Minimization (FEM).
The announced PhD position focuses on devising the hard-ware of a compartmentalized microfluidic chip on microelectrode arrays (MEAs) that form the interface to the in-silico control agents for the purpose of building a hybrid AI computer. For this position, relevant background knowledge and hands-on skills on neural cell culture, integrated microfluidics, sensors & actuators (MEA technology), and fast and high-quality data acquisition systems is required. The successful candidate will critically review the state of the art (high-density versus low-density MEA tech) and creatively design a simple-to-use microfluidic platform that will have a central role in building the hard-ware of the hybrid AI system of connected neural circuits, which we individually can address in the system by voltage or current injection. Furthermore, the techniques developed will have a wider applicability in material and toxicity screening, drug development and personalized medicine and the discovery of novel neuro-therapeutic interventions. The successful candidate will be hosted at the Department of Mechanical Engineering and co-supervised by the Department of Biomedical Engineering.
Paired with the announced position is a second PhD position hosted at the Electrical Engineering department and co-supervised by the Department of Mathematics and Computer Science. The second PhD candidate will focus on the development of in-silico Bayesian control agents via probabilistic programming. The two PhD students will collaborate closely to achieve the final goal of developing a hybrid neural/in-silico AI computer. In particular, the two PhD students will work together on the development of interfaces between the in-silico Bayesian control agent and the Brain-on-Chip device.
The preferred starting date of this position is February 2022.
Candidates with prior experience with microfluidics and photolithography (and equivalent fabrication techniques to devise integrated chips) and metrology techniques are highly encouraged to apply.
Do you recognize yourself in this profile and would you like to know more? Please contact
dr. Regina Luttge, r.luttge[at]tue.nl or +31 40 247 5235.
For information about terms of employment, click here or contact HRServices.gemini[at]tue.nl.
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