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Computer Science & IT (human) PhD Projects, Programs & Scholarships

We have 165 Computer Science & IT (human) PhD Projects, Programs & Scholarships

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Showing 1 to 30 of 165
  Intelligent communication interface for industrial human-robot collaboration (YGUF2019)
  Dr Yee Mey Goh, Dr P Kinnell
Application Deadline: 31 January 2020

Funding Type

PhD Type

Communication behaviours affect performance in human-robot collaboration (HRC).
  Intelligent Human-Robot Collaboration for Smart Factory
  Dr Y Lu
Applications accepted all year round

Funding Type

PhD Type

Recent advances in sensing, computational intelligence, and big data analytics have been rapidly transforming and revolutionizing the manufacturing industry towards robot-rich and digitally connected factories.
  Funded PhD position in variable autonomy Human-Robot systems in extreme environments
  Dr M Chiou, Prof R Stolkin
Applications accepted all year round

Funding Type

PhD Type

Robotics systems used in time- and safety-critical domains (e.g. disaster response, nuclear decommissioning) are often remotely teleoperated, with little or no autonomy used to assist the human operator.
  Cognitive Robotics and Human Robot Interaction
  Prof A Cangelosi
Applications accepted all year round

Funding Type

PhD Type

Research on cognitive robotics focuses on the design of intelligent behaviour and sensorimotor and cognitive skills in robots, by taking inspiration from human cognition (psychology) and brain mechanisms (neuroscience).
  Digital Multimedia and Human Memory - Preventing Technology-Driven Memory Degredation
  Dr S Clinch
Applications accepted all year round

Funding Type

PhD Type

Digital Multimedia and Memory. Technology has the potential to transform the way that we think and remember, with potential positive and negative impacts on every aspect of our lives.
  AI enabled Cyber-Human Integration for Industrial Environments (SAM22)
  Dr P Ferreira
Application Deadline: 14 January 2020

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  Human-Centred Artificial Intelligence with Guided Learning (Application Ref: SF19/EE/CIS/WOO)
  Prof W L Woo, Dr B Wei
Applications accepted all year round

Funding Type

PhD Type

Applications based on artificial intelligence (AI) are increasingly informing decisions in critical areas of our society – including strategy, defence and policymaking, to name but a few.
  PhD studentship sponsored by Nissan: Cognitive models of human traffic interaction for real-time behaviour interpretation
  Dr G Markkula, Prof NM Merat
Application Deadline: 15 December 2019

Funding Type

PhD Type

There is a strong push towards the development of driverless, automated vehicles (AVs).
  Human Interaction Recognition from Video Streams
  Dr A Bors
Applications accepted all year round

Funding Type

PhD Type

Research areas. Computer Vision and Image Processing; Machine learning; Neural networks. Recognition of human actions from video has many applications including.
  Ontology-based system for human movement experts
  Research Group: Computing, Informatics and Applications Research Group
  Dr C Luca, Dr F Cavallerio, Ms K McDonald
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group and. Cambridge Centre for Sport and Exercise Sciences. (https://www.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/cambridge-centre-for-sport-and-exercise-sciences).
  Exploring the potential of human-like computing methods and applications in education or healthcare
  Dr A Money, Prof G Ghinea, Dr T Cribbin, Dr S Lauria
Applications accepted all year round

Funding Type

PhD Type

Intelligent, ‘human-like’ applications, 3D games, and interfaces are becoming more common in our everyday lives, and as an important area of focus within the fields of Multimedia / Human-Computer Interaction research.
  Semi-supervised and Unsupervised Deep Learning for Human Behaviour Understanding in Short Videos Clips.
  Dr B Mandal
Applications accepted all year round

Funding Type

PhD Type

In this project the PhD research student needs to understand the strengths and weaknesses of the emerging semi-supervised and unsupervised deep learning networks for analysing videos.
  Human Motion Analysis using Computer Vision and Deep Learning
  Dr D Makris
Applications accepted all year round

Funding Type

PhD Type

Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation.
  Automated human detection in crowded scenes using fused machine learning systems (Application Ref: SF19/EE/CIS/KHELIFI)
  Dr F Khelifi, Dr A Belatreche
Applications accepted all year round

Funding Type

PhD Type

Automated human detection in dense crowds has recently emerged as one of the key AI elements to address many problems in computer vision such as scene analysis, suspicious behaviour/fight detection and human tracking.
  Novel statistical method development for discovery and interpretation of genetic contribution to human complex traits
  Dr V Iotchkova
Application Deadline: 10 January 2020

Funding Type

PhD Type

Genetic and epidemiological research has generated a vast amount of data and expertise for evaluating the genetic contribution to human traits in health and disease.
  Novel statistical method development for discovery and interpretation of genetic contribution to human complex traits
  Dr V Iotchkova
Application Deadline: 10 January 2020

Funding Type

PhD Type

Genetic and epidemiological research has generated a vast amount of data and expertise for evaluating the genetic contribution to human traits in health and disease.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  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.
  EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems

Funding Type

PhD Type

We are looking for people who are committed to changing the world via world-class research that focuses on amplifying human capabilities through the use of data-driven and intelligence enabled systems.
  Smart cyber-physical systems for multimodal human-robot collaboration
  Dr U Martinez Hernandez
Application Deadline: 2 February 2020

Funding Type

PhD Type

Robotics interacting and collaborating seamlessly with humans is a notion that has captivated society and industry for decades.
  A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
  Prof X Hong, Prof W Harwin, Prof R Mitchell
Applications accepted all year round

Funding Type

PhD Type

Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event.
  Human-Robot Collaboration for manual intensive complex manufacturing processes
  Dr J Oyekan
Applications accepted all year round

Funding Type

PhD Type

This research is to investigate strategies to achieve safe human-robot collaboration on manufacturing tasks such as composite layup of complex products.
  3D Shape Modelling of the Human Head
  Dr N Pears, Dr W Smith
Applications accepted all year round

Funding Type

PhD Type

Research areas. Computer Vision and Image Processing; Machine learning. The proposed PhD project is concerned with the mathematical and computational modelling of human craniofacial 3D form and variation and its clinical application in craniofacial surgery.
  (BBSRC DTP) Using mathematical models to understand the role of the respiratory microbiome in asthma
  Research Group: Molecular Environmental Sciences
  Dr T Gilman, Dr M Muldoon, Prof N Papadopoulos, Prof D Robertson
Application Deadline: 31 January 2020

Funding Type

PhD Type

Most of the cells in the human body are not human. There are rich microbial communities (i.e., microbiota) in our digestive tracts, our respiratory tracts, and on our skin.
  Early fire detection for effective disaster management using Artificial Intelligence Technology
  Research Group: Visual Computing
  Dr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

Disaster management, as a hybrid research area, has attracted the attention of many research communities such as business, computer science, health sciences, and environmental sciences.
  Smart sensors and spectral techniques in human movement science
  Research Group: Computing, Informatics and Applications Research Group
  Dr D Vicinanza, Dr J Zhang
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter.
  Novel machine learning methodologies for human action correction in videos
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

The goal of this research is to motivate patients with disabilities to get better in a faster, easier and fun way. It will apply artificial intelligence methods to a software that turns traditional physical therapy exercises into interactive applications, including video cogniexergames.
  From anther to atmosphere: building a better pollen forecast for human health. PhD in Geography (NERC GW4 + DTP)
  Dr J Bennie
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Jon Bennie, Department of Geography, College of Life and Environmental Sciences, University of Exeter. Additional Supervisors.
  Guiding Deep Networks for Expert Image Labelling Using Human Gaze
  Dr M Pound
Applications accepted all year round

Funding Type

PhD Type

Deep learning has proven to be extremely effective in supervised tasks, surpassing the state-of-the-art in most areas, including segmentation, classification and object localisation.
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round

Funding Type

PhD Type

Topic. This project will develop and evaluate stochastic models for the spread of information over complex social networks, in which the individual actions -- such as retweets, posts or shares -- are only partially observed.
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