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AI & Machine Learning (equality) PhD Projects, Programs & Scholarships

We have 15 AI & Machine Learning (equality) PhD Projects, Programs & Scholarships

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  Informing Design of Novel Materials for Drug Pollution Remediation through Molecular Modelling
  Dr V Erastova
Applications accepted all year round

Funding Type

PhD Type

Summary. In this project, molecular modeling will be used to bring atomic-level understanding to the retention and release of contaminants by soils.
  Artificial Intelligence and Machine Learning for Biomedical Data
  Prof P Andras
Applications accepted all year round

Funding Type

PhD Type

Artificial Intelligence (AI) and Machine Learning (ML) are the leading edge approaches to data driven problems across all areas of life, technology and sciences.
  UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents (SOCIAL)

Funding Type

PhD Type

 UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents (SOCIAL). Fully funded 4-year PhD in Computing Science and Psychology with Integrated Study.
  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).
  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.
  BioVision: bio-inspired computer vision using deep architectures (Advert Reference: SF19/EE/CIS/BELATRECHE)
  Dr A Belatreche, Dr F Khelifi
Applications accepted all year round

Funding Type

PhD Type

The primate visual system outperforms the existing automated vision systems in almost all measures.
  Computer Vision with Deep Learning and Multi-Drones (Application Ref: SF19/EE/CIS/SHUM)
  Dr H Shum
Applications accepted all year round

Funding Type

PhD Type

We are seeking a motivated person interested in a self-funded doctoral study PhD degree. With the training provided, the PhD will research, implement solutions, and produce research papers in the exciting areas of computer vision with deep learning and multiple drones.
  Data analysis for digital-entrepreneurship/self-employment (Application Ref: SF19/EE/CIS/ANWAR)
  Dr MN Anwar, Dr A Ali
Applications accepted all year round

Funding Type

PhD Type

This age of big data gives a great opportunity to turn large-size datasets with high-velocity and diverse structures into real advantage in many fields, such as health, economics, education and disaster prevention.
  Deep Learning based Network Forensic Methods for Investigating Botnets in the IoT (Application Ref: SF19/EE/CIS/ASLAM)
  Dr N Aslam, Dr B Issac
Applications accepted all year round

Funding Type

PhD Type

The process of designing IoT protocols and sensors and the lack of standards are the main reasons why the IoT is an easy target for botnets.
  Developing Robust Visual Recognition Frameworks using Synthetic Data (Application Ref: SF19/EE/CIS/HO)
  Dr E Ho, Dr H Shum
Applications accepted all year round

Funding Type

PhD Type

Deep Learning is one of the major research themes across different areas in scientific research. With the promising performance and results presented over the last few years, deep learning algorithms are dominating a lot of data-driven tasks in visual recognition.
  Distributed artificial intelligence for Internet of things (Application Ref: SF19/EE/CIS/JIN)
  Dr N Jin, Dr X Dai
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) has been transforming many industrial sectors and our daily life, for example digital manufacturing, smart grid and digital living.
  Exploring the impact of intelligent technologies in everyday work and collaboration practices (Application Ref: SF19/EE/CIS/VASILIOU)
  Dr C Vasiliou, Prof S Lawson
Applications accepted all year round

Funding Type

PhD Type

Our experience with technology is spread across devices, personal or shared, with physical or digital tools, and over time.
  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.
  Improving Customer Experience for Automobile Part Retailing Process with Machine Learning Algorithms (Application Ref: SF19/EE/CIS/LI)
  Dr H Li, Dr MN Anwar
Applications accepted all year round

Funding Type

PhD Type

The project aims at developing a system with the reverse image search method for car part business processes, e.g, order fulfilling and stock management process.
  Zero Shot Cyber Event Detection (Application Ref: SF19/EE/CIS/YANG)
  Dr L Yang, Dr B Issac
Applications accepted all year round

Funding Type

PhD Type

Adverse cyber events, either distributed/spreading attacks or targeted one-off attacks, are happening all the time in the cyber space, leading to a tremendous loss economically and socially.
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