Fully funded PhD Position at IIT - Computational approaches to study the neural code for somatosensation.
I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology’s in my lab ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with SISSA and finances the positions at the PhD course at SISSA from the EU Marie Curie Training Network Neutouch (www.neutouch.eu).
Although formally to be enrolled at SISSA, the successful candidate will conduct research in my laboratory at the IIT headquarters in Genova, Italy.
The PhD project can focus on any of the research topics about somatosensory neural information processing that are of interest to the candidate, to my lab and to the Training Network (www.neutouch.eu), including: developing mathematical analysis methods and neural network models for studying neural population coding of somatosensory signals, for studying the neural bases of sensory perception and decision making, and for designing somatosensory neuro-inspired artificial sensors.
The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is required. However, a keen interest in understanding the brain is essential.
The position is open immediately and will close when a suitable candidate is found. Interested candidates are invited to contact me informally by email (stefano.panzeri@iit.it) as soon as possible, by attaching their CV and briefly explaining their interest in this position, to initiate discussions about potential PhD projects of interest.
For recent representative publications from my lab, please see:
van Vugt B, et al, (2018) Science 360, 537-542
Zaldivar, D., et al, (2018) Current Biology 28: 224-235
Runyan C. A., et al (2017) Nature: 548: 92-96
Pica G. et al, NIPS (2017)
Panzeri, S, et al (2017) Neuron 93: 491-507
Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834–12839
Fasoli, D. et al (2016) PLoS Computational Biology, 12(8): e1004992.
Panzeri, S., et al (2015) Trends in Cognitive Sciences 19: 162-172
Einevoll, G., et al (2013) Nature Reviews Neuroscience, 14, 770-785
Yours truly,
Stefano Panzeri