Postdoctoral position in computational neuroscience is now open!
We are seeking candidates for a fully funded postdoctoral position in computational neuroscience in our department.
The successful candidate will conduct research in our computational laboratory, in collaboration with our experimental collaborators, including prominently Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT.
We will investigate, by developing and using advanced data analysis methods and biophysically plausible neural network models, how populations of neurons (and of glia) in the brain encode information and use it to produce appropriate behaviors. We are particularly interested in discovering how correlations between neurons shape the encoding and transmission of information across areas of the cerebral cortex, and in understanding the theoretical principles of how to combine measures and perturbations of neural activity to probe causally the contributions of interactions between neurons to brain function.
Our laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious and well-funded research environment (including several grants from the NIH Brain Initiative, Simons Foundation, the European Union). This gives successful candidates ample opportunities for advanced training and personal scientific growth.
We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists.
The job is available starting immediately and applications will be considered as soon as they are received and until the position is filled. Funding is available for several years and a minimum commitment of two years is expected by interested candidates.
Interested applicants are strongly encouraged to email Prof. Stefano Panzeri (email@example.com or firstname.lastname@example.org) as soon as possible, to inform us of the interest for the position and initiate a discussion about research projects. We suggest interested candidates to attach a CV when inquiring by email.
For recent publications see:
Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. Nature Reviews Neuroscience 23: 551-567
Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. NeurIPS 2022, in press, arXiv:2210.07069
Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. PLoS Biology 20(3): e3001530.
Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. Nature Neuroscience, 24, 975–986
Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. Science 368, 1329.
Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96.
Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507
Pica, G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, Neural Information Processing Systems (NeurIPS 2017)