Postdoc and PhD positions in NeuroAI in Edinburgh
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Nina Kudryashova
8:01 AM (1 hour ago) 8:01 AM
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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