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AI & Machine Learning PhD Projects, Programs & Scholarships in Newcastle

We have 15 AI & Machine Learning PhD Projects, Programs & Scholarships in Newcastle

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Showing 1 to 15 of 15
  Developing the DANU Analytics Platform for Sports Performance (Ref: RDFC20/HLS/SER/BARRY)
  Dr S Stuart
Application Deadline: 19 June 2020

Funding Type

PhD Type

Gait is a common behaviour undertaken by humans within a variety of contexts and environments. Gait is also a biomarker for health and can predict injuries or illness progression.
  Novel Bioinformatics and Artificial Intelligence approaches for microbiome analysis (Ref: ET20/HLS/APP/BASHTON)
  Dr M Bashton
Application Deadline: 1 July 2020

Funding Type

PhD Type

The microbiome, the collective genomic entity of all microbiota - bacteria, archaea, fungi, protozoa, and viruses of an environment holds an immense amount of information, a considerable amount of improvement with respect to data analysis and real-time interpretation is still needed to bring research out of the lab and into everyday usage in our home environment and health system.
  Digital Pathology – transforming paediatric brain tumour classification through machine learning (Ref: SF20/APP/SCHWALBE)
  Dr E Schwalbe
Applications accepted all year round

Funding Type

PhD Type

Medulloblastoma is the most common central nervous system tumour of childhood. Although advances in treatment have raised survival to ~75%, there remains significant numbers of patients who die of their disease.
  Estimation of food portion sizes through smartphone images (Ref: SF20/APP/BROWNLEE1)
  Dr I Brownlee
Applications accepted all year round

Funding Type

PhD Type

Accurate and precise assessment of dietary intake is crucial to consideration of population-to individual-level patterns of food consumption with clear links to consequent impacts on long-term health and national/global food requirements.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
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