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Information Science (brain) PhD Projects, Programs & Scholarships

We have 12 Information Science (brain) PhD Projects, Programs & Scholarships

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  Developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

A brain decoding model aims at predicting what sensory stimulus is received (e.g. visual stimuli, different images), which mental state is experienced (i.e.
  Data-driven processing of brain activity over networks
  Dr J Escudero Rodriguez
Application Deadline: 31 July 2019

Funding Type

PhD Type

This exciting inter-disciplinary PhD project will develop computational and mathematical methods to analyse brain activity and networks to help monitor some of the most important neurological diseases today.
  The cognitive neuroscience of creative innovation: using EEG, brain stimulation and computational modelling to understand creativity in music
  Dr C Di Bernardi Luft, Dr M Pearce
Application Deadline: 14 July 2019

Funding Type

PhD Type

Applications are invited for a fully funded PhD studentship in Psychology at the School of Biological and Chemical Sciences (SBCS) at Queen Mary, University of London.
  Toward Next generation of Brain Computer Interfaces
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control.
  Adaptive Learning in brain-robot interactions
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals.
  The synthetic littermate project: How do natural experiences shape the functional organisation of the developing brain?
  Dr SP Wilson, Prof AJ Prescott
Applications accepted all year round

Funding Type

PhD Type

How do natural experiences shape the functional organisation of the developing brain? To address this question directly, we have been developing a novel robotic technology - the synthetic littermate (or ’surrogate’).
  Developing a new learning algorithm for biologically inspired spiking neural networks
  Dr A Taherkhani, Prof TM McGinnity, Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

The brain’s processing ability to solve complex problems has inspired many researchers to investigate how the brain processes information, reasons and its learning mechanisms.
  Self-organisation as a theory of brain development
  Dr SP Wilson, Dr JV Stone
Applications accepted all year round

Funding Type

PhD Type

Self-organisation is a general theory of how function is assigned to cortical microcircuits. The theory predicts that a balance between cooperative and competitive interactions in local cortical circuits, consolidated by Hebbian learning, results in similar inputs being represented by nearby neurons.
  The mathematics behind the smartness of neural networks
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

Intelligence is one of the pillars that allows animals to master their environment. Scientific approaches recently proposed have been capable of simulating networked systems that reproduce similar emergent manifestations of behavior as those observed in the brain.
  Optimal search strategies for automated, robotic material discovery
  Dr J Fearnley, Prof A Cooper
Applications accepted all year round

Funding Type

PhD Type

This position will remain open until a suitable candidate has been found. New functional materials are central to society but they can be hard to find in the laboratory because of the astronomical search space that is defined by the available atomic and molecular building blocks.
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