[visionlist] Postdoc position at the intersection of Computational Vision/AI and Biological Vision (2 years, starting as soon as possible)

[Gemma Roig]

Hello community!

We solicit applications for a postdoc opening to work at the intersection of artificial and biological vision. 

The successful candidate will work together with Prof. Gemma Roig <http://www.cvai.cs.uni-frankfurt.de/> (focus: computer vision) from Goethe University Frankfurt and Prof. Radoslaw Cichy <http://userpage.fu-berlin.de/rmcichy/> (focus: biological vision) from the Freie-Universität Berlin. We have established a long-lasting and successful collaborative effort enabling flow and exchange of ideas between both our labs with the goal of combining knowledge from the two domains, in an inspiring, inclusive, diverse and multidisciplinary environment. This has also resulted in several joint publications in both AI and bio venues (e.g. Dwivedi et al. ECCV19, PLoSCompBiol 2020, Graumann et al. NatHumanBehav 2021, etc.), as well as the Algonauts project in collaboration with MIT.

The topic of research of the position is open. The successful candidate will have the opportunity to develop and contribute their own novel ideas to bring together artificial and biological systems in an innovative manner. This can include computational and/or experimental work in humans. The postdoc will also be encouraged to interact and participate in projects with other members of both labs, including the Algonauts project together with MIT, as well as to supervise students.

The duration of the position is for about 2 years, starting as soon as possible. There is no obligation to teach but there is the opportunity to give courses an BSc/MSc level if desired.

The position will involve:

-Developing cutting-edge research work on computational models of human visual cognition and artificial intelligence. 

-Linking AI models to brain data, including functional MRI (3T, 7T), MEG and EEG, and behavior

-Possibility to record new brain data (fMRI, EEG)

-The outcome of the research pursued is expected to be published in top tier conferences and journals.

 Key requirements for the position:

- PhD in Computer Science, applied mathematics, computational neuroscience related fields.

- Strong knowledge in machine learning (deep learning, RNN, LSTMs, supervised learning, self-supervised learning, etc.) 

- Excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries.

- Knowledge of high-performance distributed computing with GPUs.

- At least two publications in tier 1 conferences or journals as first author in related topics to computer science and cognitive computational neuroscience.

- Basic knowledge and high motivation to learn about computational neuroscience and cognitive science.

- Fluent in English (writing, speaking, oral)

Self-motivated candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply.

Location: 

The position is officially affiliated at Centre for multi-scale modelling, analysis and simulation of biological processes at the Frankfurt Institute for Advance Studies, as well as the Goethe University Frankfurt. There will also be the option for research visits to Freie-Universität Berlin. Frankfurt is a very vibrant, open and international city. It is very well connected to the world and full of research institutions dedicated to biology, neuroscience and medicine, which makes it a perfect place for networking and collaborating with scientist of different backgrounds.

Application Instructions:

Applicants are asked to send their documents (1-page motivational letter, CV, 2 publications, diploma and certificates) to Gemma Roig at roig at cs.uni-frankfurt.de <mailto:roig at cs.uni-frankfurt.de> in electronic form. Please include in the subject [postdoc]. Interviews will be held in Frankfurt or conducted electronically. 

We are looking forward to hearing from you!

Best wishes,
Gemma
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