Connectionists: Postdoc and PhD positions in Panzeri Lab - Hamburg

[Stefano Panzeri]

I am seeking candidates for fully funded postdoctoral and PhD positions in
computational neuroscience at the University Medical Center
Hamburg-Eppendorf (UKE).

The successful candidates will conduct computational research in my
computational laboratory (Institute for Neural Information Processing) at
UKE:

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 machine learning
methods and neural network models, how populations of neurons (and of glia)
in the brain encode information and use it to produce behaviors.

We offer a wide range of interdisciplinary expertise in computational
neuroscience.  We also offers a high-quality and well-funded research
environment including a network of international experimental collaborators
such as Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso
Fellin at IIT Italy, and Prof. Mriganka Sur at MIT.

We seek candidates 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 positions are filled.
Funding is available for several years (with a minimum commitment of two
years expected) for postdoc candidates and for the full duration of the PhD
for PhD candidates.

Interested applicants are strongly encouraged to email me (s.panzeri at uke.de
or stefano.panzeri at gmail.com) as soon as possible, to inform me of the
interest for the position and initiate a discussion about research
projects. I suggest interested candidates to attach a CV when inquiring by
email.

 For recent example publications from my lab, see:

Dupret D et al (2025) Neural population activity for memory: properties,
computations, and codes. Neuron: in press

Safaai H et al (2025) Specialized structure of neural population codes in
parietal cortex outputs. Nature Neuroscience 28, 2550–2560

Lorenz GM et al (2025)  MINT: a toolbox for the analysis of multivariate
neural information coding and transmission. PLOS Computational Biology 21
(4), e1012934

Kuan AT et al (2024). Synaptic wiring motifs in posterior parietal cortex
support decision-making. Nature 627, 367–373

Celotto M, et al (2023) An information-theoretic quantification of the
content of communication between brain regions. NeurIPS

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

Curreli S, et al (2022) Complementary encoding of spatial information in
hippocampal astrocytes. 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

Stefano Panzeri
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