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database PhD Projects, Programs & Scholarships

We have 48 database PhD Projects, Programs & Scholarships

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  Scalable and Energy-Efficient Multi-Building and Multi-Floor Indoor Localisation/Navigation based on Deep Neural Networks with a Multivariate Database
  Dr K Kim
Applications accepted all year round

Funding Type

PhD Type

The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Evidence of good spoken and written English is essential.
  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.
  The Manchester Dementia Prediction Database: Using advanced statistical methods to optimise diagnosis and prognosis for people with degenerative neurological conditions.
  Dr J Thompson, Dr A Woollams, Dr M Jones
Applications accepted all year round

Funding Type

PhD Type

Early diagnosis and accurate prognostic information are key priorities to enable people with neurodegenerative dementia to know what to expect and to enable them to plan effectively for their future needs.
  Knowledge based Resource Management of 5G Radio Access Network using Artificial Intelligence
  Prof J Cosmas
Applications accepted all year round

Funding Type

PhD Type

This research project will investigate how to learn from the behaviour of the radio channel in different parts of the network using big data from channel behaviour experienced by existing user equipment to build an evolving database of behaviour changing with time.
  Identifying typologies of General Practitioners’ through analysis of prescribing decisions
  Prof T Marshall
Application Deadline: 31 October 2020

Funding Type

PhD Type

It has been demonstrated that used Facebook users’ “likes” can be used to reliably identify their personality characteristics and preferences.[1] This project proposes to use general practitioners’ (GPs’) prescribing decisions to characterise their treatment preferences and provide insights into variation in clinical behaviour between clinicians.
  Data-mining of materials-properties to implement ultra-precision process automation
  Prof D Walker, Prof T.L. McCluskey
Application Deadline: 26 June 2020

Funding Type

PhD Type

Precise optics underpin diverse applications, including remote-sensing from space, astronomy, laser-physics, medical-diagnostics, security & defense.
  Scalable Big Data Systems on Modern Hardware
  Dr S Ray
Applications accepted all year round

Funding Type

PhD Type

Project objectives. Data systems are going through a major transition due to the challenges of Big Data processing. The volume and velocity of data generated from a variety of sources are far outpacing the available storage and processing capacity.
  Millimetre wave radar signatures of drones
  Dr D A Robertson
Applications accepted all year round

Funding Type

PhD Type

The detection of small unmanned aerial vehicles (UAVs), or drones, is a growing requirement both for the management of intentional drone activity and for the detection of unwanted drones which might cause a risk to security, safety or privacy.
  Mushrooms and truffles - why are they different?
  Dr D Orlovich, Dr C Brown, Dr T Summerfield
Applications accepted all year round

Funding Type

PhD Type

An excellent PhD candidate (’A’ grades) interested in researching the fundamental process of mushroom development is being recruited to join a multidisciplinary team led from the University of Otago, Dunedin, New Zealand.
  New ways of terminating transcription in bacterial pathogens
  Dr C Brown
Applications accepted all year round

Funding Type

PhD Type

An excellent PhD candidate (’A’ grades) interested in researching the fundamental process of gene expression in bacteria is being recruited to join a multidisciplinary team led at University of Otago, Dunedin, New Zealand.
  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.
  PhD Studentships in History, Classics and Archaeology

Funding Type

PhD Type

History, Classics and Archaeology at Birkbeck. Our department has a distinguished record as an international centre of excellence.
  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.
  Semantic Web Technologies and Linked Data for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The ultimate goal of Semantic Web is to make the machine to understand the Internet data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL(Web Ontology Language).
  VC International Scholarship in Effective and Secure Traffic Monitoring for Air Quality Control and Situational Awareness for Well-being (eligibility criteria apply)
  Research Group: Complex Systems
  Dr N Saxena, Prof P R Burnap
Application Deadline: 1 June 2020

Funding Type

PhD Type

Many people living in developing countries face serious problems of poor air quality (AQ) due to vehicle traffic.
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