Profs Tommaso Fellin (IIT, Genoa, Italy) and Stefano Panzeri (UKE, Hamburg, Germany) are seeking candidates for a fully funded postdoctoral position in computational neuroscience  at the Italian Institute of technology.

The successful candidate will conduct research in the experimental Optical Approaches to Brain Functions Group led by Fellin at ITT (https://www.iit.it/it/web/optical-approaches-to-brain-function) in close collaboration with the computational laboratory of Panzeri at UKE (Department of Excellence for Neural Information Processing https://www.uke.de/english/departments-institutes/institutes/department-of-excellence-for-neural-information-processing/index.html).

We will investigate, by developing and using advanced data analysis methods and biophysically plausible network models, how populations of neurons and of astrocytes in the brain interact to encode information and use it to produce appropriate behaviors.

 

Our laboratories have established a close and fruitful experimental-theoretical collaboration for a decade, and offer a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling.  We also offer thriving research environments, including many international collaborations several funded by the NIH Brain Initiative, the Simons Foundation, the European Union. This gives successful candidates strong opportunities for interdisciplinary training and 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 from May 2023 and applications will be considered as soon as they are received. Candidates are encouraged to email us (tommaso.fellin@iit.it and stefano.panzeri@gmail.com) as soon as possible, to inform us of the interest for the position and initiate a discussion about research projects.

 

For recent publications from our labs relevant to this project, see:

Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. Nature Reviews Neuroscience 23: 551-567

Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. PLoS Biology 20: e3001530.           

Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. Nature Neuroscience, 24, 975–986

 

Sità, et al A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging. Nat Commun 13, 1529 (2022)

 

Antonini A, et al (2020)  Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness eLife 9:e58882.

 

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)

 

Thanks

 

Stefano Panzeri and Tommaso Fellin