A postdoctoral position in computational neuroscience is available at Istituto Italiano di Tecnologia in Italy to work with Stefano Panzeri (https://www.iit.it/people/stefano-panzeri). The successful candidate will conduct research in the laboratory of Neural Computation of Prof. Panzeri and in collaboration with Prof. Christopher Harvey at Harvard Medical School.

We investigate, by developing and using advanced data analysis methods and neural network models, how circuits of neurons in the brain encode information and use it to produce appropriate behaviors. The Neural Computation 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 research environment which is well funded (including several grants from the NIH Brain Initiative). 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. 

 

For recent publications relevant to this project, see:

 

Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96.

 

G. Pica, et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, Neural Information Processing Systems (NIPS 2017)

 

Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507

 

Chettih and Harvey (2019) Single-neuron perturbations reveal feature-specific competition in V1. Nature 567, 334

 

Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. Science 368, 1329.

 

The deadline for applications is Oct. 27^th, 2020. Applications will be examined as soon as they are received and until the position is filled. Interested applicants are strongly encouraged to email Stefano Panzeri (stefano.panzeri@iit.it) as soon as possible, to informally inform him of their interest for the position and initiate a discussion about research projects. Formal applications should be submitted, before the deadline, through the following web site:

 

https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=20000039

 

 

Thanks

 

Stefano Panzeri