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AI & Machine Learning PhD Projects, Programs & Scholarships in the UK

We have 173 AI & Machine Learning PhD Projects, Programs & Scholarships in the UK

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Showing 1 to 30 of 173
  Self-Supervised Learning and Variational Inference for adaptation in Deep Learning
  Dr G Leontidis
Application Deadline: 1 June 2020

Funding Type

PhD Type

We are looking for a highly motivated prospective PhD student to undergo a 3-year fully funded PhD project on Machine/Deep Learning foundations/theory and applications within the Department of Computing Science at the University of Aberdeen (UoA).
  Statistical physics of DNA replication
  Dr A Moura, Prof C Romano
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to apply statistical physics and probability theory to the problem of DNA replication in living cells.
  Energy system modelling of decentralised energy system transitions: integrating technical, economic and social dimensions
  Dr A Maheri
Application Deadline: 21 June 2020

Funding Type

PhD Type

Cities and municipalities are crucial areas of focus due to the large and growing populations living in them. But they are also complex dynamic systems, which present challenges to energy system modellers.
  A decentralized, data driven health monitoring and diagnostics platform based on Artificial Intelligence (AI) and wearable/portable Internet of Medical Things (IoMT) sensors
  Research Group: Computing, Informatics and Applications Research Group
  Dr M Maktabdar, Dr L Babu Saheer
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. https://auth-authoring-prod.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/computing-informatics-and-applications.
  AI for sustainability in food supply chain and pricing
  Research Group: Computing, Informatics and Applications Research Group
  Dr L Babu Saheer, Dr C Luca, Dr J Zarrin
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. https://auth-authoring-prod.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/computing-informatics-and-applications.
  AI to the rescue of climate change, modelling air quality for cleaner urban planning
  Research Group: Computing, Informatics and Applications Research Group
  Dr L Babu Saheer, Dr J Zarrin
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. https://auth-authoring-prod.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/computing-informatics-and-applications.
  Design human-like machine learning
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reasoning, Random Forests and Neural Networks) are frequently employed in most of the experiments.
  Development of android middleware for wearable data analytics and recommendations on the go
  Prof M Angelides
Applications accepted all year round

Funding Type

PhD Type

Wearable technology comes with the promise of improving one’s lifestyles thru data mining of their physiological condition. The potential to generate a change in daily or routine habits thru these devices leaves little doubt.
  Development of machine learning methods for automated design of new biological functions in bacterial proteins
  Dr A Pandini
Application Deadline: 26 June 2020

Funding Type

PhD Type

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020.
  Exploring the potential of human-like computing methods and applications in education or healthcare
  Dr A Money
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.
  Investigating the value of using emotionally intelligent artificial conversational agents to carry out assessments in higher education or healthcare.
  Dr A Money
Applications accepted all year round

Funding Type

PhD Type

Artificial conversational agents, can be embodied (physical robots or digital avatars on a screen) or not embodied (chat-bots or digital assistants).
  Machine Learning for the Design of Accessible Interactive Systems
  Dr T Koulouri, Prof S Counsell
Application Deadline: 26 June 2020

Funding Type

PhD Type

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020.
  Modelling the movements of goods between locations and countries
  Dr D Groen
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to create an agent-based model that mimics the movement of goods between locations and trading individuals in a given country-specific setting.
  Design for energy transitions in African urban informal settlements
  Dr F Ceschin
Applications accepted all year round

Funding Type

PhD Type

This PhD is linked to a 5-year research project entitled ‘Mainstreaming Gender for Energy Security in Poor Urban Environments’, in short Gender for Energy Security (GENS).
  Trust In Autonomous Vehicles
  Prof J Giacomin
Applications accepted all year round

Funding Type

PhD Type

Problem Statement. Several recent research studies have suggested that “lack of trust” is one of the major factors which is slowing the commercial introduction of autonomous vehicles.
  3D object classification
  Dr T G Kalganova
Applications accepted all year round

Funding Type

PhD Type

With the current development of 3D modeling, and 3D printing, the next type of information representation of objects is 3D form. The majority of existing methods of object classification are based on applying images to deep learning approaches.
  AI (Artificial Intelligence) enabled Robotics for autonomous sensing and inspection of utility and sewage pipes.
  Dr NM Huda, Dr T G Kalganova
Applications accepted all year round

Funding Type

PhD Type

Traditional manual maintenance of pipelines which requires digging of ground to get access to pipelines is ineffective because of safety issues, high cost and limited human vision.
  Artificial intelligence technology development for medical applications
  Dr H Meng
Applications accepted all year round

Funding Type

PhD Type

In this project, advanced deep learning algorithms will be developed for medical data (e.g. biomedical signals, images, sound, touch, pressure, etc.).
  Automatisation of optimisation problem formulation for real-world applications
  Dr T G Kalganova, Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

With current development of AI and Big Data area, there is a strong need in development of the approach that allows to provide the efficient mapping of the existing data into the optimisation problem.
  Benchmarking Machine Learning Algorithms
  Dr L Teodorescu
Applications accepted all year round

Funding Type

PhD Type

Machine learning algorithms are employed in a myriad of applications in almost any domain, being it industrial, commercial, scientific or academic.
  Clustering in bioinformatics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

There are many bioinformatics datasets available publically. Extracting consistent information from these require development of novel techniques and tools.
  Data analytics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

In recent years, more and more data are available in many areas. We live in a very data-rich world. Our challenge is obtain information or to develop understanding from such data.
  Design and implementation of AI system for fast and reliable weed control
  Dr T G Kalganova
Application Deadline: 26 June 2020

Funding Type

PhD Type

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020.
  Electrical Signal Processing for Radiation Detection using Machine Learning
  Dr L Teodorescu
Application Deadline: 26 June 2020

Funding Type

PhD Type

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020.
  Emotion Recognition for Intelligent Human Computer Interaction
  Dr H Meng
Applications accepted all year round

Funding Type

PhD Type

Emotion is a complex thing for human beings. It can reflect the mental and cognitive state of the person.
  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.
  Intelligent Mobile Robotics System
  Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

Research on a six legged mobile robotics which is currently used in the research labs. The robot can be equipped with sonar sensors, vision system and communication system.
  Machine condition diagnosis and prognosis
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Smooth running of machines are vital in all sectors of manufacturing. In recent years much emphasis are put on the development of artificial intelligence techniques to solve issues related to machine condition diagnosis and prognosis.
  Modulation recognition/classification
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

All radio communication signals (radio, television, mobile phones, etc.) are modulated before transmission. Modulation recognition/classification is fundamental for correct demodulation.
  Pulse Shape Analysis for Radiation Detection with Machine Learning
  Dr L Teodorescu
Applications accepted all year round

Funding Type

PhD Type

Pulse Shape Analysis is an electrical signal processing method which allows the identification of radiation particles or their interaction properties based on the shape of the electric signal produced through the interaction of the radiation with a detection sensor.
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