Connectionists: fully funded Phd position in the intersection of neuroscience and AI

[Wolfgang Maass]

We accept applications for a fully funded Phd position for research in 
the intersection of neuroscience and AI. This Phd student will work with 
our team on reverse engineering data-based models for cortical 
microcircuits and their learning capabilities, as for example in

--Analysis of visual processing capabilities and neural coding 
strategies of a detailed model for laminar cortical microcircuits in 
mouse V1 (G. Chen, F. Scherr, W. Maass).Science Advances (Nov. 2, 2022),
https://www.biorxiv.org/content/10.1101/2021.12.07.471653v3?versioned=t

--A solution to the learning dilemma for recurrent networks of spiking 
neurons (Bellec, G., Scherr, F., Subramoney, A., Hajek, E., Salaj, D., 
Legenstein, R., & Maass, W.) Nature Communications 2020, 11(1), 1-15.

In addition, the Phd student will work on the development of 
brain-inspired architectures and algorithms for AI, like in

--Local prediction-learning enables neural networks to plan (C. Stoeckl, 
W.Maass)
https://www.biorxiv.org/content/10.1101/2022.10.17.512572v1,

and for highly energy-efficient neuromorphic hardware, as in

--A Long Short-Term Memory for AI Applications in Spike-based 
Neuromorphic Hardware      (A Rao, P Plank, A Wild, W Maass), Nature 
Machine Intelligence 4 (5), 467-479.
https://igi-web.tugraz.at/PDF/261.pdf

In order to qualify for this Phd-position you need to have a master 
degree in computer science or related areas, very good skills in 
mathematics/theory, and programming experience for GPUs. You should also 
have an excellent record,demonstrations of your research potential, and 
be strongly motivated to collaborate with us on understanding “how the 
brain works”.

If you qualify, please send me your CV, transcripts, names of referees, 
as well as links to your master thesis, papers, and other pertinent 
documents.


Prof. Dr. Wolfgang Maass
Institut fuer Grundlagen der Informationsverarbeitung
Technische Universitaet Graz
Inffeldgasse 16b ,   A-8010 Graz,  Austria
http://www.igi.tugraz.at/maass/Welcome.html