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AI & Machine Learning PhD Projects, Programs & Scholarships

We have 196 AI & Machine Learning PhD Projects, Programs & Scholarships

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Showing 121 to 150 of 196
  Big data and machine learning for sustainable synthesis
  Dr M Grayson
Application Deadline: 23 February 2020

Funding Type

PhD Type

The Centre for Sustainable Chemical Technologies (CSCT) at the University of Bath has launched a joint PhD programme with Monash University, Australia.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  Machine Learning for Advanced Automotive Analytics
  Research Group: Advanced Automotive Analytics Research Institute
  Prof D Neagu, Prof F Campean
Applications accepted all year round

Funding Type

PhD Type

The University of Bradford’s Advanced Automotive Analytics (AAA) research laboratory is an interdisciplinary research unit building on research expertise and track record of the Automotive Research Centre and the Artificial Intelligence Research Group, particularly in automotive reliability and systems engineering modelling, big data and machine learning.
  Reliability Modelling of Complex Autonomous Systems
  Research Group: Advanced Automotive Analytics Research Institute
  Prof F Campean, Prof D Neagu, Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Smart engineered systems that make decisions and take actions autonomously are becoming commonplace in many applications, such as self-driving cars and drones.
  Data-driven and Model-based Design and Computational Analysis of Systems and Synthetic Biology
  Research Group: Applied Computing
  Dr S Konur, Prof M Gheorghe, Dr R Hamed
Applications accepted all year round

Funding Type

PhD Type

Understanding how biological cells and organisms function is a very challenging task, as biological systems are getting more complex.
  Machine learning for Autonomous and Interconnected Vehicles
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical Mechatronic Systems such as autonomous vehicles, and intelligent transportation rely heavily on machine learning techniques for ever-increasing levels of autonomy.
  Multi-agent systems for plug-and-produce manufacturing control
  Research Group: Applied Computing
  Dr D Scrimieri
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, using plug-and-produce technology.
  Probabilistic stability analysis and optimisation for smart power systems using stochastic distribution shaping
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

Future power systems will be significantly different from their present states. The main factor we have to consider is the uncertainties.
  Reliability analysis, fault diagnosis and optimization in dynamic small data environment using explainable AI
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

The smart system consists of the man-made machine and the intelligent decision making. Mostly, the machine will be designed with automation purpose and the decision making can be achieved based on big data training and AI technology.
  Security-Aware Safety Monitoring of IoT-enabled Smart Environment
  Research Group: Applied Computing
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Internet of Things (IoT) is a promising networking paradigm that integrates physical processes with the cyber world to provide useful services.
  Supply chain Robotic Process Automation through Machine Learning
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

In Supply Chain optimization, understanding which item is worth keeping in stock, considering several factors ranging from continuous features, like demand pattern clustered in different time buckets, to categorical features like supplier name, and internal tagging like obsolete or special certification needed, is a key task for the planner.
  Testing Robotics and Autonomous Systems Using Search-based Techniques
  Research Group: Applied Computing
  Dr RE Lefticaru, Prof D Neagu
Applications accepted all year round

Funding Type

PhD Type

Robotics and Autonomous Systems (RAS) are becoming indispensable for human productivity and it is estimated that there will be a £13 billion global market for RAS by 2025.
  Cyber Attacks Mitigation: Detecting Malicious Activities in Network Traffic
  Research Group: Communication and Networks
  Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

Cyber attacks have become more widespread and several attacks have made headline news over the past decade, targeting industrial companies and governmental organizations.
  Trustworthy Security Systems
  Research Group: Communication and Networks
  Prof IU Awan, Dr S Konur
Applications accepted all year round

Funding Type

PhD Type

Cyber Security is becoming more and more important with the increasing integration of communication interfaces in various network systems, such as vehicular ad-hoc networks, mobile ad-hoc networks, controller areas networks and in-vehicle infotainment systems.
  Additive manufacturing biodiesel production nanocatalysts
  Research Group: Mechanical and Process Engineering
  Dr P Pimenidou
Applications accepted all year round

Funding Type

PhD Type

Biodiesel is currently produced by transesterification of oils and fats by using a homogeneous catalyst.
  Development of Efficient Models of Frictionally Induced Vibrations for the Prediction of Automotive Brake Squeal.
  Research Group: Mechanical and Process Engineering
  Dr D Bryant
Applications accepted all year round

Funding Type

PhD Type

Brake squeal continues to be a problem for vehicle manufacturers, generating noise pollution, customer dissatisfaction and significant warranty claims.
  The Development of New Models for the Prediction of Vehicle Brake Judder Under Transient Conditions
  Research Group: Mechanical and Process Engineering
  Dr D Bryant
Applications accepted all year round

Funding Type

PhD Type

The increasing provision of regenerative braking on road vehicles will enable the friction brakes to be downsized, with an associated weight and cost saving, but their performance (torque generated, fade resistance, durability, pedal feel and resistance to the development of judder) must meet established user standards.
  A Model-driven Bayesian Approach for Probabilistic Analysis of Cyber Physical Systems
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Modern cyber-physical systems are made more sophisticated and fault-tolerant by including new functionality and capabilities into them.
  Edge Intelligence for Safety Assurance of Time Critical Cyber Physical Systems
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical-Systems (CPS) harbor the potential for vast economic and societal impact in domains such as mobility, home automation, energy, agriculture, and delivery of health.
  Impact of Sediment Transport and Vegetation to the Reservoir Hydrodynamics within Fluvial Environment
  Dr J Pu
Applications accepted all year round

Funding Type

PhD Type

Reservoirs and dams are popular control mechanisms for different water resources around the world. However, lately, there have been increasing incidences of reservoir failure linked to sediment transport and vegetation within its environment, that have caused massive financial and social impacts.
  University of Bristol / EPSRC/BBC R&D iCASE award: AI methods to optimise future immersive video formats
  Prof D Bull, Prof I Gilchrist
Application Deadline: 1 September 2020

Funding Type

PhD Type

Background. The University of Bristol, through Bristol Vision Institute (BVI), is a world leader in vision science and vision engineering.
  Artificial Intelligence Methods - Automated Defect Recognition of Ultrasonic Data in NDT
  Prof P Wilcox, Prof B Drinkwater
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a research studentship in the field of Machine Learning / Artificial Intelligence (AI) in non-destructive evaluation (NDE) techniques leading to the award of an Engineering Doctorate (EngD) degree.
  PhD Computing

Funding Type

PhD Type

Main research areas of interest, Image / Video Processing and Analysis Techniques and Applications, Wireless Mobile Network Technologies, Bio-metric-based Authentications for constrained devices / environments.
  Computer Architectures for Probabilistic Robotics/Autonomous Systems Applications
  Dr P Stanley-Marbell
Applications accepted all year round

Funding Type

PhD Type

The Physical Computation Laboratory is seeking a PhD student to work on a project developing new **Computer Architectures for Probabilistic Robotics/Autonomous Systems Applications**.
  Infrastructure digitisation and gamification
  Dr I Brilakis
Applications accepted all year round

Funding Type

PhD Type

To devise, implement and test a solution that produces virtual, usable 3D environments of infrastructure scenes with the assistance of videogrammetry.
  Infrastructure objects detection based on cascaded deep learning architectures enhanced with design priors
  Dr I Brilakis
Applications accepted all year round

Funding Type

PhD Type

Conduct collaborative research on empowering top-down contextual detection strategies (e.g. detect building floors, then floor rooms, then room walls, etc.) with deep learning architectures and online learning up to the point of technological transfer to Trimble.
  Lifecycle data management
  Dr A Kumar Parlikad
Applications accepted all year round

Funding Type

PhD Type

The main aim of the ESR is to develop a cloud-based process for defining data requirements for seamless transfer of asset data between supply chain partners.
  New Computer Architectures for Probabilistic Computer Vision
  Dr P Stanley-Marbell
Applications accepted all year round

Funding Type

PhD Type

The Physical Computation Laboratory is seeking a PhD student to work on a project developing new **Computer Architectures for Probabilistic Computer Vision Applications**.
  Sensor Scheduling Scheduling Algorithms for Low-Power Energy-Scavenged Sensors
  Dr P Stanley-Marbell
Applications accepted all year round

Funding Type

PhD Type

The Physical Computation Laboratory is seeking a PhD student to work on a project developing new **Sensor Scheduling Scheduling Algorithms for Low-Power Energy-Scavenged Sensors**.
  PhD studentship in Preserving Privacy in an Online World
  Dr N Kokciyan
Application Deadline: 17 April 2020

Funding Type

PhD Type

One fully funded PhD position to work with Dr. Nadin Kokciyan in the School of Informatics at the University of Edinburgh, on a project titled “Preserving Privacy in an Online World”.
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