PhD Available: Predicting Recovery from Stroke with Machine Learning Professor Howard Bowman (University of Kent and University of Birmingham) is looking to take on a PhD student to work on interpretable machine learning applied to data acquired from stroke patients (https://www.ucl.ac.uk/ploras/). This work will be with...
Prof. Sen Cheng, Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full-time position of Postdoctoral Scholar (TVL E13) in Computational Neuroscience. The position starts on 1st July 2019 and is funded for 3 years. This project is part of the newly established...
Vacancy Description School of Psychology and Neuroscience, Salary: by negotiation, Start: 1 August 2019 or as soon as possible thereafter We are seeking to appoint a Professor in any area related to our research theme of Perception, Cognition and Action (see: https://www.st-andrews.ac.uk/psychology/research/perception/) in the School of Psychology...
Name: PhD Scholarships - School of Social Sciences - Languages and Intercultural Studies Amount: £14,777 (the current annual stipend) plus a research support allowance of £2,250 Awards: up to two Level: Postgraduate research School: Social Sciences Entry date: Successful applicants will be expected to begin their studies at Heriot-Watt on...
Jobs Description Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum in Germany, invites applicants for the position of Doctoral Fellow in Computational Neuroscience. The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is...
Rehabilitation Engineering group at the School of Engineering, University of Glasgow is looking for applicants for 3.5 years funded project “Electroencephalograph predictors of central neuropathic pain in subacute spinal cord injury” Project abstract: Central neuropathic pain (CNP) affects 7% of the general population and more than 50%...
The Emmy Noether Research Group "Neurophysiology of Everyday Life" in the Department of Psychology, School of Medicine and Health Sciences, University of Oldenburg, is seeking to fill two positions as a PhD student (wissenschaftliche/r Mitarbeiter/in) (E 13 TV-L 65% for 3 years, starting spring/early summer 2019). The positions...
Supervisor: Profs Tim Ledgeway and Paul McGraw School: Psychology Description: Transcranial magnetic stimulation (TMS) is a popular method for studying the functional properties, connectivity and chronometry of brain regions associated with vision. However comparatively little is known about the precise mechanisms by which TMS influences on-going visual...
Supervisors: Martin Schürmann, Andrew Reid, Christopher Madan (School of Psychology) Description: The PhD project will study how the brain/cognition relationship changes across the lifespan. Using an open data archive containing neuroimaging data from 600+ participants, the project will combine information obtained with multiple brain imaging modalities:...
Supervisor: Mark Humphries (School of Psychology) Co-supervisor: Ruediger Thul (School of Mathematics) Description: A wealth of systems can be described by weighted networks, in which nodes represent parts of the system and links represent interactions between nodes. Crucially, the strength of interaction is represented by the weight...
Supervisor: Stephen Coombes School of Mathematical Sciences Description: A network of globally coupled quadratic integrate-and-fire neurons with conductance based synapses has recently been shown to admit to an exact mean field description using the Ott-Antonsen (OA) ansatz [1,2]. The resulting neuronal population model is ideally suited as...
Supervisor: Mark Humphries School of Psychology Description: The wiring between neurons, the connectome, defines their activity. So in order to understand the activity of neurons we record from, we want to know the wiring between them. But current technology does not allow the simultaneous recording and tracing...
Supervisor: Mark Humphries School of Psychology Description: Psychology and neuroscience experiments on rule-learning typically take the form of discrete trials in which a participant is asked to make a choice between two or more alternatives. A correct choice elicits a reward -- in some experiments the reward delivery...
Supervisor: Alan Johnston (School of Psychology) Co-supervisor: Neil Roach (School of Psychology) Description: The aim of this project will be to explore the stage of motion processing in which local estimates of direction and speed of motion are combined to represent global motion patterns. This is thought to...
Supervisor: Dr Nikos Gekas Co-supervisor: School: Psychology Description: A growing body of work suggests that the brain could be using a probabilistic strategy to infer the true state of the environment from noisy and incomplete data. This is referred to as the ‘Bayesian coding hypothesis’. In that...
Supervisor: Matias J. Ison (School of Psychology) Co-supervisor: Stephen Coombes (School of Mathematical Sciences) Description: This project combines computational modelling with machine learning and state-of-the-art analyses techniques. Our recent experimental work with single neuron recordings from epilepsy patients implanted with depth electrodes for clinical reasons showed that individual neurons...
Supervisor: Mark van Rossum School of Psychology and Mathematical Sciences Description: Both biological and artificial neural networks learn by changing the strength of connections between their neurons. Recently, it has emerged that in biology this modification of connections is an energy-costly process (Mery et al). As energy constraints...
Supervisors: Mark van Rossum (School of Psychology and Mathematical Sciences) and Paul Smith (School of Life Sciences) Description: Electric current is crucial in neurons and other biological tissue, but while in electronics the charge carriers are electrons, in biology this role is taken by ions, in particular...
Supervisor: Dr. Christopher Madan School: Psychology Description: Standard measures of brain structure such as cortical thickness and subcortical volume are woefully inadequate in characterising age-related differences in brain structure. However, the development of novel measures that measure structural complexity (e.g., fractal dimensionality), sulcal morphology, and topological spatial frequency...
Supervisor: Dr. Christopher Madan School: Psychology Description: The field of decision making has grown to include influences from a variety of fields, including psychology, neuroscience, and computer science. This project will be centered within this multidisciplinary approach to decision making, investigating value-based decision making with computational methods such...