University of Cambridge
Research Assistant/Associate
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A post-doctoral Research Associate position in Neurotechnology is available to work with Professor Zoe Kourtzi at the Adaptive Brain Lab, University of Cambridge, UK (http://www.abg.psychol.cam.ac.uk).
Are you passionate about uncovering the neural mechanisms that support learning for flexible behaviour and building personalized neurotechnology solutions? Join our cross-disciplinary team at the forefront of neuroscience and neurotechnology.
We are seeking a talented, dynamic Post-doctoral Researcher with expertise in multimodal neuroimaging and/or neuromodulation to contribute to an ambitious research programme investigating neuromodulation-driven brain network plasticity for adaptive behaviour.
About The Role
You will work on cutting-edge projects combining:
- Neuromodulation approaches (TMS, tDCS, TUS)
- Ultra-high field brain imaging (7T structural and functional MRI, MR Spectroscopy)
- Electrophysiology (EEG)
- Neurogenetics
- Computational modelling (reinforcement learning, machine learning)
Our research bridges scales (local circuits to global networks) and species (humans, mice) to uncover the neurocomputations underlying learning for adaptive behaviour and building neuromodulation solutions to boost brain plasticity.
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What We Offer
- Integration into a cross-disciplinary international team of leading experts.
- Access to state-of-the-art methodologies, including ultra-high field MRI, neurostimulation, neurotechnology, AI-guided modeling expertise.
- Multi-disciplinary training at the interface of neuroscience, genetics and computational science.
- Opportunities for exchange visits, workshops, and retreats across our collaborative network.
About You
- PhD (or soon to be submitted) in Neuroscience, Genetics, Computer Science, Engineering, or related field
- Strong background in multimodal neuroimaging, neuromodulation techniques, cognitive studies.
- Excellent analytical and programming skills (Matlab, Python).
- Experience with computational modeling, machine learning, reinforcement learning, or related modelling approaches.
- Collaborative mindset and enthusiasm for teamwork and innovation
This is a unique opportunity to contribute to cutting-edge cross-disciplinary research supported by the Wellcome Trust, with access to cutting-edge technology and training opportunities.
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Apply now and help us advance the neuroscience of learning and build neurotechnology solutions.
Fixed-term: The funds for this post are available for 18 months 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.
Informal enquiries are welcomed and should be directed to: Professor Zoe Kourtzi (email: zk240@cam.ac.uk)
This is a postdoctoral-level appointment, but applicants within a few months of submitting their PhD thesis may be considered, and will be appointed as a Research Assistant until successful award of their PhD.
Please quote reference PJ50742 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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