Stellenausschreibungen

Aktuell sind mehrere Doktoranden- und Postdoktorandenstellen zu besetzen.

PhD Student or Postdoctoral Researcher (E13 TV-L) in `Deep learning for studying population codes in the human brain’

 

The Chair for 'Machine Learning in Science' (Prof. Dr. Jakob Macke) in the Cluster of Excellence „Machine Learning – New Perspectives for Science“ and in the Department of Computer Science at Eberhard Karls University Tübingen is currently looking for a


 

PhD Student or Postdoctoral Researcher (E13 TV-L, m/f/d) in `Deep learning for studying population codes in the human brain

starting as soon as possible. The initial fixed-term contract will be for 3 years with possible extension.

How do neural circuits in the human brain recognize objects, persons and actions from complex visual stimuli? To address these questions, we will develop deep convolutional neural networks for modelling how neurons in high-level human brain areas respond to complex visual information. We will make use of a unique dataset of neurophysiological recordings of single-unit activity and field potentials recorded from the medial temporal lobe of epilepsy patients. Our tools will open up avenues for a range of new investigations in cognitive and clinical neuroscience, and may inspire new artificial vision systems.  

The position is part of the BMBF-funded project DeepHumanVision in collaboration with the `Dynamic Vision and Learning’ Group at TU Munich (Prof. Dr. Laura Leal-Taixé) and the Cognitive and Clinical Neurophysiology Group at University Hospital Bonn (Prof. Dr. Dr. Mormann).  

Our group develop computational methods that help scientists interpret empirical data, with a focus on basic and clinical neuroscience research. We want to understand how neuronal networks in the brain process sensory information and control intelligent behaviour, and use this knowledge to develop methods for the diagnosis and therapy of neuronal dysfunction.  We aim to work in an interdisciplinary, collaborative and supportive work environment which emphasizes diversity and inclusion.

Tübingen has an internationally renowned research community in artificial intelligence, machine learning and computational neuroscience, including the Cyber Valley Initiative, the Tübingen AI Center, the Excellence Cluster Machine Learning, and the new MSc Program Machine Learning. We are situated in the AI Research Building, in close proximity to the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, and participate in the two International Max Planck Research Schools (IMPRS) `Intelligent Systems’ and `Mechanisms of Mental Function and Dysfunction’.

The position is open to candidates who have a PhD or Master’s  in in a quantitative discipline (e.g. computer science, maths, statistics, physics, electrical engineering, computational neuroscience), a genuine interest in interdisciplinary work at the interface of machine learning and neuroscience, and strong programming skills (ideally Python/PyTorch).  Prior experience in deep learning, and/or in analysing neurophysiological data with statistical methods is advantageous.

The University seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of Tübingen.

PhD applicants are also expected to apply to the IMPRS `Intelligent Systems’, https://imprs.is.mpg.de.

Please submit your application materials to mls-sekretariatspam prevention@inf.uni-tuebingen.de, with subject `Application: Postdoc/PhD DeepHumanVision‘. Please include a CV, a brief statement of research interests, contact details of two referees and a work sample - anything that is genuinely your own work, e.g. a thesis, computer code, a research manuscript, an essay, or a publication. For postdoc applicants, we expect relevant prior publications.

Application deadline: November 02, 2020.

2 Doktorandenstellen im Human and Machine Cognition Lab (m/w/d; E13 TV-L, 65%)

The  “Human  and  Machine  Cognition”  lab of  the  Cluster  of  Excellence  “Machine  Learning:  New Perspectives for Science” and the “Tübingen AI Center” invites applications for

Two PhD positions (m/f/d; E13TV-L, 65%)

to be filled as soon as possible. Both positions are limited to three years.

About the group
The HMC lab is led by Dr. Charley M. Wu and seeks to understand the computational strategies that allow humans to perform massively scalable inference and rapidly adapt to novel environments, both alone and in social environments. This research aims to use insights from human cognition to improve machine learning methods, while also using advances in machine learning as tools for understanding human intelligence.

Current research topics include generalization and efficient exploration in large problem spaces, the learning of map-like representations in spatial and non-spatial environments, social search dynamics in virtual environments, and cumulative cultural evolution in online communities. Our research methods include online experiments (commonly in the form of interactive games), lab-based virtual reality experiments, computational modeling of behavior, evolutionary simulations, developmental studies (comparing children and adults), fMRI/EEG, and analyzing large scale real-world datasets. We also have a rich collaboration network of researchers from Harvard, Princeton, UCL, and several Max Planck Institutes around Germany. To find out more, visit the lab website at www.hmc-lab.com.

About the position
The candidate should hold a MSc degree in cognitive science, computer science, psychology, computational neuroscience, statistics, or any relevant discipline. The ideal candidate should be self-motivated, comfortable with both analytic and critical thinking, and havea passion for science. Please indicate in your application if you have prior experience with conducting experiments, computational modeling, machine learning, and/or neuroimaging (EEG/fMRI). Skills in computer programing languages (e.g., R, Python, Matlab, Javascript, Java, etc.), mathematics, writing (in English), and the ability to independently manage a project (of any type) should also be mentioned.

About Tübingen
Tübingen is a scenic university town on the Neckar river in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse and inclusive. Most locals speak English and knowledge of German is not required to live here. Tübingen offers excellent research opportunities due to the University, four Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen here: https://www.tuebingen.de/en/

How to apply
Please send a cover letter, a description of your research interests (max 1 page), your CV, the names and email addresses of 2-3 referees, and unofficial copies of your University degrees to the Central Office of the Cluster of Excellence (ml-in-sciencespam prevention@uni-tuebingen.de). If you have any questions about the position, please do not hestitate to directly contact Charley Wu (charleymswu@gmail[dot]com).
The university seeks to raise the number of women in research and teaching and therefore urgesqualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference.
The employment will be carried out by the central administration of the University of Tübingen. Applications received by December 14th , 2020 will receive full consideration.