Postdoctoral Researcher in Biological Deep Learning (University of Bern Institute of Physiology)

Postdoctoral Researcher in Biological Deep Learning A two-year postdoc position (100%) is available in Walter Senn and Mihai Petrovici groups at the University of Bern for a researcher with an interest in computational neuroscience, and machine learning. Our research focuses on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations. The project devoted to the modeling of learning in deep cortical networks is part of a collaboration with Profs Fritjof Helmchen and Giacomo Indiveri supported by the Swiss National Science Foundation. The successful candidate will formalize the dendritic processing of cortical pyramidal neurons, in particular in combining top-down and bottom-up information, and in integrating these neurons in deep networks. The Department of Physiology at the University of Bern is situated in an attractive region in the heart of Switzerland and offers a stimulating interdisciplinary and international environment. Our research groups collaborate closely with other labs in experimental, computational and theoretical neuroscience, as well as artificial intelligence, and neuromorphic engineering. Qualifications Strong analytical and numerical skills Experience with machine learning / computational modeling Ph.D. in computational neuroscience, applied mathematics and/or physics or related fields Applications The position is starting as soon as possible, and applications will be accepted until the position is filled. If you are interested, please send one .pdf document including your CV, a brief statement of research interests, the contact details of two referees, and a list of publications to Walter Senn and Mihai Petrovici (Virginie Sabado in cc). Informal inquiries are welcome. If you apply for this position please say you saw it on Medicinoxy

Postdoctoral Researcher in Biological Deep Learning

A two-year postdoc position (100%) is available in Walter Senn and Mihai Petrovici groups at the University of Bern for a researcher with an interest in computational neuroscience, and machine learning. Our research focuses on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations.

The project devoted to the modeling of learning in deep cortical networks is part of a collaboration with Profs Fritjof Helmchen and Giacomo Indiveri supported by the Swiss National Science Foundation. The successful candidate will formalize the dendritic processing of cortical pyramidal neurons, in particular in combining top-down and bottom-up information, and in integrating these neurons in deep networks.

The Department of Physiology at the University of Bern is situated in an attractive region in the heart of Switzerland and offers a stimulating interdisciplinary and international environment. Our research groups collaborate closely with other labs in experimental, computational and theoretical neuroscience, as well as artificial intelligence, and neuromorphic engineering.

Qualifications

Strong analytical and numerical skills
Experience with machine learning / computational modeling
Ph.D. in computational neuroscience, applied mathematics and/or physics or related fields

Applications

The position is starting as soon as possible, and applications will be accepted until the position is filled.

If you are interested, please send one .pdf document including your CV, a brief statement of research interests, the contact details of two referees, and a list of publications to Walter Senn and Mihai Petrovici (Virginie Sabado in cc). Informal inquiries are welcome.

If you apply for this position please say you saw it on Medicinoxy

Apply

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