Postdoc and PhD positions in NeuroAI in Edinburgh
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Nina Kudryashova
May 18, 2026, 8:01:32 AMMay 18
to Systems Neuroscience
Official applications are now open for two positions in the research group of Dr. Nina Kudryashova (Royal Society University Research Fellow) at the University of Edinburgh. Start date: ~January 2027.
Open Positions: a Postdoc / Research Associate (3 years, £41,064 - £48,822) a PhD student (fully-funded, international fees covered, 4 years). Successful candidates will contribute to cutting-edge research in computational neuroscience, developing data-driven machine learning methods to enable the identification and control of neural population dynamics, and providing actionable predictions for designing next-generation systems neuroscience experiments. Our primary research aim is to get insights into closed-loop brain-environment interaction, particularly learning from behavioral perturbations [Kudryashova 2025, bioRxiv] or targeted neural stimulation [see our ‘Edge of tomorrow’ workshop]. However, other research directions within NeuroAI will also be available for the post holder to explore. Being part of a newly established group, these posts offer a unique chance to influence the trajectory of our group's work and contribute significantly to emerging NeuroAI research directions. The posts are ideal for researchers interested in the following areas: · Large scale data-driven modelling of neural population activity · Dynamical system identification based on neural population recordings · Predictive processing and sensorimotor coupling · Active inference and experimental design for closed-loop experimentation
Open Positions: a Postdoc / Research Associate (3 years, £41,064 - £48,822) a PhD student (fully-funded, international fees covered, 4 years). Successful candidates will contribute to cutting-edge research in computational neuroscience, developing data-driven machine learning methods to enable the identification and control of neural population dynamics, and providing actionable predictions for designing next-generation systems neuroscience experiments. Our primary research aim is to get insights into closed-loop brain-environment interaction, particularly learning from behavioral perturbations [Kudryashova 2025, bioRxiv] or targeted neural stimulation [see our ‘Edge of tomorrow’ workshop]. However, other research directions within NeuroAI will also be available for the post holder to explore. Being part of a newly established group, these posts offer a unique chance to influence the trajectory of our group's work and contribute significantly to emerging NeuroAI research directions. The posts are ideal for researchers interested in the following areas: · Large scale data-driven modelling of neural population activity · Dynamical system identification based on neural population recordings · Predictive processing and sensorimotor coupling · Active inference and experimental design for closed-loop experimentation
How to Apply:
Deadline: 28th May 2026 (flexible, but a timely application is encouraged).
PhD official application portal: https://study.ed.ac.uk/programmes/postgraduate-research/489-informatics-iml-machine-learning-computational-neuroscience (select full-time PhD with a start date of 6 January 2027)
Postdoc applications: https://www.jobs.ac.uk/job/DRJ865/research-associate
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