Research Associate in Networks Neuroscience (Fixed Term)

The University of Cambridge is one of the world's oldest universities and leading academic centres. If you're looking for a new challenge and would like excellent benefits, extensive learning opportunities and a stimulating working environment in return for your skills and contribution, there could be a job here for you.

A post-doctoral Research Associate position in Networks Neuroscience is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, Univ of Cambridge, UK (

The position will focus on studies combining electrophysiology (EEG), brain imaging (7T fMRI, MR Spectroscopy), genetics, interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity.

The research activity is at the core of a Wellcome Trust funded Collaborative award that brings together a cross-disciplinary team of international experts to investigate the role of brain network dynamics for adaptive behaviour. Our work programme bridges work across scales (local circuits, global networks) to uncover the network and neurochemical mechanisms that support learning and brain plasticity.

This international collaborative network provides unique opportunities for cross-disciplinary training in innovative methodologies at the interface of neuroscience, neurotechnology and computational science. Successful applicants will be integrated in a diverse collaborative team and will have the opportunity to participate in workshops and retreats across the network as well as exchange visits across labs to facilitate cross-disciplinary training and collaborative working.

Research in the Adaptive Brain lab aims to understand how humans of all ages (healthy and patients with neurocognitive disorders) translate sensory experience into complex decisions and adaptive behaviours by taking into account previous experience and learning. We develop cross-disciplinary approaches to study the young and ageing brain and understand adaptive behaviours in health and neurocognitive disorders.

The successful applicant will receive multi-disciplinary research training at the interface between neuroscience and computational sciences.

Applicants should have a PhD (or submitted at time of appointment) together with a strong academic track record, in a relevant area (e.g., Neuroscience, Cognitive Psychology, Medicine, Genetics, Mathematics, Engineering, Computer Science, Medicine). Programming skills are highly desirable and experience with EEG, brain imaging, computational modeling preferable. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across sectors (academia, industry).

Fixed-term: The funds for this post are available for 2 years in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Professor Zoe Kourtzi

Closing Date: Wednesday 6th July 2022 at 12 Midnight

Interviews: TBC

Please quote reference PJ31665 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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