The ERC Advanced Grant “Material Constraints Enabling Human Cognition (MatCo)” at the Freie Universität Berlin aims to build network models of the human brain that mimic neurocognitive processes involved in language, communication and cognition. A main strategy is to use neural network models constrained by neuroanatomical and neurophysiological features of the human brain in order to explain aspects of human cognition. To this end, neural network simulations are performed and evaluated in neurophysiological and neurometabolic experiments. This neurocomputational and experimental research targets novel explanations of human language and cognition on the basis of neurobiological principles.
More information about the project can be found here: www.fu-berlin.de/matco In the MatCo project, 3 positions are currently available:
- 1 full time position for a Scientific Researcher at the postdoctoral level Fixed-term (until 30.9.2025), Salary Scale 13 TV-L FU ID: WiMi_MatCo100_08-2022,
- 2 part time positions (65%) for Scientific Researchers at the predoctoral level Fixed-term (until 30.9.2025), Salary Scale 13 TV-L FU ID: WiMi_MatCo65_08-2022
Job tasks and responsibilities:
• Simulation studies with neural network models of language and cognition
• Preparation, implementation and evaluation of neurocognitive experiments on language and cognition (ECoG, EEG, fMRI).
• Tractography analyses and use of their results for optimizing neural models
Requirements:
• Completed university degree (MA, MSc or equivalent) in a relevant field (e.g., linguistics, psychology, cognitive neuroscience, medicine)
• Only for the postdoc position: Completion of a PhD (or MD) in a relevant field (linguistics, psychology, cognitive neuroscience, medicine)
Desirable:
• Research experience with biologically constrained neural networks and with network simulations of cognitive processes
• Experience in empirical experimental language research
Extended deadline (Monday 21/11/2022)
More information ==> Brain Language Laboratory • Fachbereich Philosophie und Geisteswissenschaften
Best,
Maxime Carrière