[visionlist] ERC-funded postdoctoral position in cognitive computational neuroscience at JLU Giessen, Germany

Katharina Dobs katharina.dobs at gmail.com
Thu Mar 21 05:12:34 -04 2024


Postdoctoral position in Cognitive Computational Neuroscience at Justus Liebig University Giessen, Germany

I'm excited to offer a postdoctoral position in my lab at Justus Liebig University Giessen, Germany. This opportunity is part of the ERC-funded DEEPFUNC project, aimed at unraveling the ‘what', ‘how' and ‘why' of functional specialization in the human visual cortex using deep neural networks. The start date is flexible, but the sooner, the better! The position is initially for 2 years, with potential for extension.

Situated within the Psychology Department, our lab is at the forefront of cognitive computational neuroscience. We combine human cognitive science with neuroscience and machine learning, focusing especially on visual cognition. We’re using a wide range of methods, from computational modeling of vision and psychophysical approaches to the application of advanced neuroimaging techniques like fMRI and EEG. These tools help us understand the behavioral and neural mechanisms underlying human visual processing and cognition. Find out more on our lab’s website <http://www.katharinadobs.com/>.

Some relevant publications include:

Kanwisher, N., Khosla, M., & Dobs, K. (2023). Using artificial neural networks to ask 'why' questions of minds and brains <https://www.sciencedirect.com/science/article/pii/S0166223622002624>. Trends in Neurosciences, 46(3), 240-254.
Dobs, K., Yuan, J., Martinez, J., & Kanwisher, N. (2023). Behavioral signatures of face perception emerge in deep neural network optimized for face recognition <https://www.pnas.org/doi/full/10.1073/pnas.2220642120>. Proceedings of the National Academy of Sciences: USA, 120(32), e2220642120. [preprint available here <https://www.biorxiv.org/content/10.1101/2022.11.23.517478v2>]
Dobs, K., Martinez, J., Kell, A., & Kanwisher, N. (2022). Brain-like functional specialization emerges spontaneously in deep neural networks <https://www.biorxiv.org/content/10.1101/2022.11.23.517478v2>. Science Advances, 8(11), eabl8913.
Candidates should have a strong background in perception, cognitive and/or computational science. However, we’re also keen to meet exceptional candidates from other disciplines. Valuable skills include:

- Experience in human visual neuroscience and computational modeling.
- Proficiency in machine learning, particularly deep learning.
- Familiarity with human neuroimaging techniques and behavioral experiments.

The lab and department have excellent links to scientists within Europe and worldwide, offering a vibrant, multicultural and interdisciplinary research atmosphere. We’re associated with several large-scale research clusters, such as The Adaptive Mind <http://www.theadaptivemind.de/>, SFB Cardinal Mechanisms of Perception <http://www.sfb-perception.de/> and the Center for Mind, Brain and Behavior <https://www.cmbb-fcmh.de/>. Our lab strives to provide an inclusive, diverse and supportive environment. There are plenty of opportunities for professional development from student mentoring, attending international conferences to participating in professional workshops. You’ll join a dynamic community, engage in high-impact collaborative projects, and enjoy living in Giessen, a university town close to Frankfurt. 

Please submit your application by April 15th, 2024, using the online application form at https://www.uni-giessen.de/karriere/stellenangebote/application <https://www.uni-giessen.de/karriere/stellenangebote/application>. Reference number 293/06. Your application should include a CV, a research statement, your expected date of availability, and up to 3 reference contacts. For informal inquiries, please reach out to me at katharina.dobs at psychol.uni-giessen.de <mailto:katharina.dobs at psychol.uni-giessen.de>. 

Best wishes,
Katharina Dobs

-- 
Dr. Katharina Dobs
Visual Cognition & Computational Neuroscience Lab
Department of Psychology
Justus Liebig University Giessen
Otto-Behaghel-Str. 10F
35394 Giessen
www.katharinadobs.com <http://www.katharinadobs.com/>
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