[visionlist] Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen
rufin.vanrullen at cnrs.fr
Wed Jun 5 10:00:59 -04 2019
Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with
T. Serre & R. VanRullen
[Apologies for cross-postings]
We are seeking talented and motivated students and post-docs for a
number of open positions, in a collaborative effort between the labs of
Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse).
The positions will be based in Toulouse (France), with numerous
opportunities to travel, in particular for visits to and close
collaborations with the Serre lab at Brown University (USA). The
successful candidates will become involved in a number of projects,
depending on their particular interests, and will also have the
opportunity to develop independent projects.
Applicants for the PhD positions should hold a Masters degree or
equivalent. Applicants for the post-doc positions should hold a PhD, or
expect to receive their PhD shortly. Candidates must have a strong
background in computer vision and/or computational neuroscience and/or
machine learning. Excellent python programming skills and
Tensorflow/PyTorch experience are required. Additionally, applicants at
the post-doc level should ideally have a track record of relevant
publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.).
Exceptional candidates with a primary degree in Neuroscience and strong
programming/quantitative abilities will also be considered.
The fellows will be located in a state-of-the-art facility within the
new ANITI (Artificial and Natural Intelligence Toulouse Institute)
research center in Toulouse, France. They will be part of the AI
Research Chairs held by Thomas Serre ("Reverse-engineering the brain")
and Rufin VanRullen ("Deep Learning with semantic, cognitive and
biological constraints"). They will also benefit from a lively local
community of Deep Learning researchers: the Toulouse Interdisciplinary
Deep Learning "TIdDLe" group (https://tiddle-group.github.io).
Perks include: competitive salaries, clement weather, high quality of
life, vibrant research environment.
To apply, send a CV, a short (<1 page) explanation of research
interests, and the name of 3 potential referees to
thomas_serre at brown.edu and rufin.vanrullen at cnrs.fr
The positions start in Fall 2019 (later start dates can be negotiated),
the application procedure is and will remain open until all positions
For more information about ongoing research projects in our labs,
consult: http://serre-lab.clps.brown.edu/ and
Some relevant papers:
D. Linsley, J. Kim, & T. Serre. Sample-efficient image segmentation
through recurrence. ArXiv 2019. https://arxiv.org/abs/1811.11356
D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning
long-range spatial dependencies with horizontal gated-recurrent units.
Neural Information Processing Systems, 2018.
D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and
where to attend. International Conference on Learning Representations,
VanRullen, R., Reddy, L. (2019). Reconstructing Faces from fMRI Patterns
using Deep Generative Neural Networks. Nat Comm Biol.
VanRullen, R. (2017). Perception Science in the age of Deep Neural
Networks. Front. Psychology 8:142.
McLelland, D. & VanRullen, R. (2016). Theta-Gamma Coding Meets
Communication-through-Coherence: Neuronal Oscillatory Multiplexing
Theories Reconciled. PLoS Comput Biol 12(10), e1005162.
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