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Computer Science & IT PhD Projects, Programs & Scholarships in Newcastle

We have 26 Computer Science & IT PhD Projects, Programs & Scholarships in Newcastle

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Showing 1 to 15 of 26
  Novel Bioinformatics and Artificial Intelligence approaches for microbiome analysis (Ref: ET20/HLS/APP/BASHTON)
  Dr M Bashton
Application Deadline: 8 May 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.
  PhD Studentship in Cyber Security in Farm and Companion Animal Technologies
  Dr M Mehrnezhad
Application Deadline: 30 June 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. September 2020 3.5 years. Overview. This project aims to study the security and privacy issues relating to novel technologies that is increasingly being applied to farm and companion animals.
  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.
  Moral Ordering of Digital Healthcare Technologies (Advert Reference: SF19/BL/EIS/WILSON)
  Prof R Wilson
Applications accepted all year round

Funding Type

PhD Type

The implementation of digital technologies from telecare to electronic health record systems remains a significant challenge to governments around the world.
  Complex network analysis and resilience in large-scale multi-layer networks (Application Ref: SF19/EE/CIS/SHANG)
  Dr Y Shang, Prof A Bouridane
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to investigate and develop new data science approaches to model large-scale networks.
  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.
  Trust management in the Internet of things (Application Ref: SF19/EE/CIS/KHAN)
  Dr S Khan, Dr A Ali
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) is a contemporary technology, which links a tremendous number of devices with each other to ease life via many useful services such as information exchange, monitoring, and control.
  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.
  Sonification for Phishing Awareness (Application Ref: SF19/EE/CIS/NICHOLSON)
  Dr J Nicholson, Dr P Vickers
Applications accepted all year round

Funding Type

PhD Type

Phishing is a highly prevalent form of social engineering where an attacker steals sensitive information by sending fraudulent emails that purport to be from a trustworthy source.
  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.
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