Connectionists: PhD, Postdoc and Programmer positions at the intersection of Machine Learning and Computational Neuroscience in Tübingen

[Cornelius Schröder]

Come to Tübingen and join a great scientific community:

The Mackelab (Prof. Jakob Macke, University Tübingen) is looking for PhD,
Postdoc and Scientific Programmer applicants interested in working with us
on using deep learning to build, optimize and study mechanistic models of
neural computations!

In a first project, funded by the ERC Grant DeepCoMechTome, we want to make
use of connectomic reconstructions of the fruit fly to build large-scale
simulations of the fly brain that can explain visually driven behavior—see,
e.g., our prior work with Srinivas Turaga’s group, described in Lappalainen
et al., Nature, 2024. In a second project, funded by the DFG through the
CRC Robust Vision, we want to use differentiable simulators of biophysical
models (Deistler et al., 2024) to build data-driven models of visual
processing in the retina.

We are open to candidates who are more interested in neurobiological
questions, as well as to ones more interested in machine learning aspects
(e.g. training large-scale mechanistic neural networks, learning efficient
emulators, coding frameworks for collaborative modelling, automated model
discovery for mechanistic models, …) of these projects.

We are open to candidates who are more interested in neurobiological
questions, as well as to ones more interested in machine learning aspects
(e.g. training large-scale mechanistic neural networks, learning efficient
emulators, coding frameworks for collaborative modelling, automated model
discovery for mechanistic models, …) of these projects.

Please submit your application materials to mls-jobs at inf.uni-tuebingen.de,
including a CV with publication list, relevant transcripts, a statement of
research interests (max. two pages), contact details of two referees, and a
link to a code repository (or work samples). Please apply before May 31,
2025. Our PhD students are typically part of the IMPRS-IS and/or the ELLIS
PhD programs, and we will encourage successful applicants to subsequently
apply for these programs.

For more details and how to apply, please see the full description here:
https://www.mackelab.org/jobs/
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