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Computer Science & IT (computational physics) PhD Projects, Programs & Scholarships

We have 48 Computer Science & IT (computational physics) PhD Projects, Programs & Scholarships

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Showing 31 to 45 of 48
  Deep learning for image colour transfer (GONGH2U20SF)
  Dr H Gong, Prof G Finlayson
Application Deadline: 31 May 2020

Funding Type

PhD Type

Colours may vary from image to image. This may be caused by different capture conditions (e.g. illumination, camera), seasons, object reflectances, and post-processing.
  EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems

Funding Type

PhD Type

Heriot-Watt University and the University of Edinburgh are jointly offering an exciting opportunity to study a PhD through an innovative 4-year PhD training programme, drawing on our extensive experience with postgraduate teaching and research supervision in the area of Robotics and Autonomous Systems.
  Advanced Mathematical Optimisation in Materials Chemistry
  Dr M Dyer, Dr V Gusev
Application Deadline: 30 April 2020

Funding Type

PhD Type

Project. The global optimisation of properties such as energy as a function of atomic positions is prevalent in materials chemistry.
  Developing a multiscale description of complex fluids from the molecular to the continuum scales
  Dr L Lue, Dr D Kivotides
Applications accepted all year round

Funding Type

PhD Type

Engineers have traditionally used continuum equations to model processes, such as the Navier-Stokes equation for fluid flow. These methods require constitutive relations that encode the properties of the fluid; these are typically determined empirically and have limited predictive capabilities.
  PhD Studentship Opportunity in Machine learning and portfolio approaches to cystic echinococcosis area risk classification and prioritisation of interventions
  Dr J Prada
Applications accepted all year round

Funding Type

PhD Type

Cystic echinococcosis (CE) is a zoonotic parasitic disease of significant public health concern in many parts of the world. For example, over 5,000 new CE cases are reported in South America every year and a recent study has estimated that more than 150,000 people in Bulgaria, Romania and Turkey might be affected by CE.
  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.
  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.
  Learning to Learn: Multi-Task learning, transfer learning and meta-learning
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

Multi-task learning, transfer learning, and meta-learning are three dimensions (sub-fields) of learning techniques, strategies and frameworks currently being investigated in machine learning communities.
  Reinforcement Learning based Recommender systems in the Era of Big Data
  Dr H Liang
Applications accepted all year round

Funding Type

PhD Type

The general aim of this project is to develop novel algorithms to discover new knowledge about users’ individual interests, preferences, sentiment and emotional status, and information needs from large scale data, for the purpose of facilitating recommender systems to provide better personalized services for users.
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  The biomechanical mechanism of sports-related concussion
  Dr G Tierney
Application Deadline: 24 April 2020

Funding Type

PhD Type

There is a growing body of evidence regarding the risk of several neurodegenerative diseases associated with sports-related concussion (SRC).
  Artificial Intelligence based analysis and exploration of medical, health and biobank data
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

A large number of forums offer medical and health-related data such as UK Biobank. In this project, we explore the potential of machine learning tools and techniques to efficiently solve the problem of a large domain.
  Computer Vision and Remote Sensing – Terrain Feature Classifications
  Dr H Wei, Prof J Ferryman, Prof X Hong, Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

The research is mainly concerned with automated image understanding and processing of remotely. sensed data, such as multispectral/hyperspectral images, as well as LIDAR data, which provide height information of terrain.
  Deep learning for Image and Video Processing and Information Retrieval
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

In the age of large scale automation and data explosion, deep learning offers means to process unstructured image data and allow us to receive a large amount of information.
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