Connectionists: Positions on the neuroscience of learning and brain plasticity

[Zoe Kourtzi]

14 Positions on the neuroscience of learning and brain plasticity

PhD / early-Postdoc positions are available to work with International research leaders in top European Universities and market-leading companies in the area of learning and brain plasticity.

The European Community Seventh Framework Initial Training Network “Adaptive Brain Computations” (ABC) is a multi-disciplinary research and training programme which aims to integrate the study of learning and brain plasticity to promote wellbeing and advance healthcare interventions. The network takes a multidisciplinary approach, synthesising methods from brain imaging, behavioural science, physiology, and computational modelling to understand brain plasticity.
Involvement in the network provides exciting opportunities for high-level research training, international travel and exchange between labs.
For more information on ABC, please check:  http://cnil.bham.ac.uk/ABC/index.html

Eligibility criteria:
1.     You should have a background in subjects related to the research including neuroscience, cognitive psychology, computer science, engineering or physics.
2.     You should be in the first 4 years of your research career and should not yet have been awarded a PhD.
3.     You must not have lived in the same country as the institution to which you are applying for >12 months during the past 3 years.

Applications:
To apply, please contact the relevant Principal Investigator directly as listed below.
Please send CV, personal statement of research background and interests and the name of 3 referees.

Professor Stefan Debener (stefan.debener at uni-oldenburg.de<mailto:stefan.debener at uni-oldenburg.de>) – University of Oldenburg, Germany.
Expertise: audio-visual integration, sensory deprivation, simultaneous EEG-fMRI

Prof. Martin Giese (martin.giese at uni-tuebingen.de<mailto:martin.giese at uni-tuebingen.de> ) –Eberhard Karls Universität Tübingen, Germany.
Expertise: computational models of motion recognition and learning, stroke rehabilitation

Prof. Rainer Goebel (goebel at brainvoyager.com<mailto:goebel at brainvoyager.com>) – Brain Innovation, Netherlands.
Expertise: brain imaging analysis and visualization, real-time fMRI, neurofeedback

Dr. Ingmar Gutberlet (gutberlet at blindsight.de<mailto:gutberlet at blindsight.de>) – BlindSight GmbH, Germany
Expertise: advanced analysis of EEG/fMRI signals, artefact correction signal integration.

Prof. Heidi Johansen-Berg (heidi at fmrib.ox.ac.uk<mailto:heidi at fmrib.ox.ac.uk>) – University of Oxford, UK.
Expertise: brain plasticity, stroke recovery, structural and functional brain imaging

Prof. Zoe Kourtzi (z.kourtzi at bham.ac.uk<mailto:z.kourtzi at bham.ac.uk>) – University of Birmingham, UK.
Expertise: visual learning, object recognition and categorization, multimodal brain imaging (fMRI, EEG, TMS)

Prof. Stefano Panzeri (Stefano.Panzeri at iit.it<mailto:Stefano.Panzeri at iit.it>) – Istituto Italiano di Tecnologia, Italy
Expertise: neural networks, information theory

Professor Pieter Roelfsema (p.roelfsema at nin.knaw.nl<mailto:p.roelfsema at nin.knaw.nl>) – National Institute for Neuroscience, Netherlands
Expertise: neural circuits, visual learning and attention, neurophysiology, computational modelling.

Prof. Rufin Vogels  (rufin.vogels at med.kuleuven.be<mailto:rufin.vogels at med.kuleuven.be>) – Katholieke Universiteit Leuven
Expertise: visual perception, perceptual learning, object categorization, neurophysiology