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Phd studentship in computational neuroscience

Hatfield
University of Hertfordshire
Posted: 27 October
Offer description

PhD Studentship in Computational Neuroscience

Position: Ph.D. Student

Deadline: 14 November 2025

Employment Start Date: 1 March 2026

Contract Length: 3 years

City: Hatfield

Country: United Kingdom

Institution: University of Hertfordshire

Department: Centre for AI and Robotics Research

Description:

PhD Studentship in Computational Neuroscience

Biocomputation Research Group

Centre for AI and Robotics Research

School of Physics, Engineering and Computer Science

University of Hertfordshire, UK

Informal enquiries: Prof Volker Steuber, UH (v.steuber@herts.ac.uk); Dr Arnd Roth, UCL (arnd.roth@ucl.ac.uk)

Studentship: approximately £20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible.

Proposed Project: Reinforcement Learning and Microzones in the Cerebellum

The crystalline structure of the cerebellar cortex has inspired the development of theories and computational models of learning in the cerebellum. In these computational models, learning is typically based on long-term depression (LTD) between parallel fibres and Purkinje cells in cerebellar cortex. More recently, however, plasticity has been shown to be present at different types of cerebellar synapses, and recent observations of reward signals conveyed by both mossy fibresand climbing fibres to the cerebellar cortex indicate that the roles of the instructive signals for cerebellar plasticity are more complex than assumed by classic theories. The presence of reward signals suggests that the cerebellum may be involved in reinforcement learning, by predicting the consequences of different actions. A further level of complexity arises from the existence of alternating cerebellar microzones that have been shown to contribute in different ways to cerebellar learning.

The proposed PhD project will extend a previously developed detailed network model of the cerebellum. Simulations of the network model will be used to investigate the implications of reward signals and microzones for cerebellar learning. The work will contribute to a better understanding of learning in the cerebellum with potential applications in machine learning and neurorobotics.

Applicants should have a keen interest in computational neuroscience and an excellent first degree or MSc in computer science, neuroscience, AI, machine learning, physics, maths, biology, medicine or a related discipline.

The project involves a collaboration between the Biocomputation Research Group in the Centre for AI and Robotics Research at the University of Hertfordshire (Volker Steuber) and the Wolfson Institute for Biomedical Research at UCL (Arnd Roth) and will require regular visits to London. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.

Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading.

Address: School of Physics, Engineering and Computer ScienceCollege LaneHatfieldAL10 9ABUK

PhD Studentship in Computational Neuroscience
College Lane, Hatfield, UK

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