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Computer Science & IT PhD Projects, Programs & Scholarships in York

We have 40 Computer Science & IT PhD Projects, Programs & Scholarships in York

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  PhD studentship: Assured and Scalable Self-Adaptation for the Engineering of Trustworthy Autonomous Robotic Teams
  Dr S Gerasimou, Dr J Cámara
Application Deadline: 3 July 2020

Funding Type

PhD Type

Applications are invited for a three-year PhD studentship, supported by the Defence Science & Technology Laboratory (DSTL), to be undertaken within the Department of Computer Science (http://www.cs.york.ac.uk/) at the University of York.
  Safety cases in the wild
  Dr R Alexander
Applications accepted all year round

Funding Type

PhD Type

Research areas. Autonomous and self-adaptive systems; Safety analysis, system safety; Safety of autonomous and self-adaptive systems; Software testing.
  5G Wireless Communications from High Altitude Platform Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

Taking into account the significant, ongoing high altitude platform projects by Google and Facebook, this project will examine how a network of high altitude platforms can be used to deliver 5G wireless communications.
  AI and Machine Learning for the diagnosis and monitoring of Parkinson’s and Alzheimer’s disease
  Research Group: Intelligent Systems and Nanoscience
  Prof S Smith
Applications accepted all year round

Funding Type

PhD Type

The Department has long-standing research collaborations with hospitals and medical centres worldwide developing new approaches to the diagnosis and monitoring of neurological conditions, including Parkinson’s and Alzheimer’s.
  Automatic face description in computational photography and videography
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round

Funding Type

PhD Type

The group has recently filed a patent on a method for estimating the attributes of faces detected in pictures. These attributes include the location and orientation and facial "landmarks", such as the eyes, nose tip and chin tip, along with the age, sex, race and facial expression of the person.
  Autonomous cooperation of bio-inspired adaptable lightweight mobile robots
  Research Group: Intelligent Systems and Nanoscience
  Dr M A Post, Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

In challenging planetary environments such as Mars, a diverse range of terrains must be traversed to deliver sensing instruments and achieve scientific goals.
  Cognition Strategies for Secure Cloud Radio Access Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will investigate how artificial intelligence can be used in future cloud based radio access networks. Such networks will be typical in future 5G and beyond 5G deployments, where due to cost reasons, radio and processing functions will be more centralised.
  Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content.
  Developmental dynamics for Network-on-Chip systems
  Research Group: Intelligent Systems and Nanoscience
  Dr G Tempesti
Applications accepted all year round

Funding Type

PhD Type

The Network-on-Chip (NoC) paradigm, a subject of intense research in both the academic and the industrial worlds, is based on the parallel execution of program threads on many relatively simple processing elements.
  Evolutionary mapping of algorithms to arrays of processors
  Research Group: Intelligent Systems and Nanoscience
  Dr G Tempesti
Applications accepted all year round

Funding Type

PhD Type

The Network-on-Chip (NoC) paradigm is a subject of intense research in both the academic and the industrial worlds. Based on the parallel execution of program threads on many relatively simple processing elements, this approach suffers however from a crucial weakness.
  Hybrid description methods for human faces
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round

Funding Type

PhD Type

The group has pioneered the application of conditional probability density estimation to describing human faces. Our methods allow a system to estimate the age, sex, race and facial expression of people in a real-time video sequence.
  Investigations into autonomous adaptable hardware
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

For systems to become truly autonomous we must develop methods that will allow hardware devices/systems to adaptable in an intelligent and appropriate way to environmental changes and component failures.
  Liquid Transistors: Real-time Probabilistic Computing with Non-linear Analogue Components
  Research Group: Intelligent Systems and Nanoscience
  Dr M Trefzer
Applications accepted all year round

Funding Type

PhD Type

"Perfection has always been expensive". An area where this is certainly true, and is rapidly becoming more so, is electronic systems design where the goal is to perform useful, stable computation.
  Low Power Design of FPGA Systems
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell, Dr G Tempesti
Applications accepted all year round

Funding Type

PhD Type

Field programmable Gate Arrays are becoming the device of choice for many (most) digital systems. They offer the flexibility of software with the performance of hardware.
  Machine Learning for classifying and characterising living cell cultures
  Research Group: Intelligent Systems and Nanoscience
  Prof S Smith
Applications accepted all year round

Funding Type

PhD Type

In collaboration with the Department of Biology at the University of York and the Department of Computer Science at the University of Sheffield, programmable agent-based computational models have been developed to help interpret how populations of cells arise and repair from individual cell:cell interactions.
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