University of East Anglia Featured PhD Programmes
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Data Analysis PhD Projects, Programs & Scholarships

We have 554 Data Analysis PhD Projects, Programs & Scholarships

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  Developmental Responses to Environmental Change
  Dr C Mirth
Applications accepted all year round

Funding Type

PhD Type

The environment in which animals develop profoundly shapes their morphology and behaviour, a process known as phenotypic plasticity.
  Geochronological record of the Paleozoic orogens in NE Argentina, PhD project based at Monash University, Australia
  Prof R Weinberg
Applications accepted all year round

Funding Type

PhD Type

This is a PhD project in structural geology and tectonics, geochronology and igneous petrology using our state-of-the-art laser-ablation laboratory (Isotopia laboratory) in collaboration with the University of Salta.
  Effect of Mediator on transcriptional bursting
  Dr F Robert
Applications accepted all year round

Funding Type

PhD Type

Mediator is a universal transcriptional coactivator (Jeronimo and Robert, 2017; Soutourina, 2018). It is recruited to enhancers by sequence-specific transcription factors and allows communication between the enhancers and their target promoters.
  PhD in Biosciences - Are microbes the hidden influencers? Unravelling the genomic network of host-microbe interactions
  Dr D Rico Rodriguez, Dr C Lamb
Application Deadline: 22 April 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. 28 September 2020. 3-year PhD. Overview. The genome is identical in every cell of our organism but its three-dimensional (3D) structure is different in every cell type.
  Centre for Doctoral Training in Cloud Computing for Big Data

Funding Type

PhD Type

Data science is an exciting new inter-disciplinary field in which to work and do research. It is driving almost every area of science, engineering and commerce.
  EPSRC Centre for Doctoral Training in Geospatial Systems - 4 year PhD Studentships

Funding Type

PhD Type

The EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems invites high-quality applications for up to 10 fully funded 4-year (1+3) PhDs at Newcastle University and University of Nottingham.
  BBSRC Case Award PhD in Epidemiology/ Applied Health Research/ Public Health: understanding the determinants of age-related changes in the health of older people
  Dr S Ramsay
Application Deadline: 30 April 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. Latest start September 2020. Funding covers a four-year PhD, including a placement with GSK.
  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.
  PhD Studentship - Elucidating the impact of prenatal antibiotic exposure on postnatal offspring performance in cattle: a data mining approach
  Dr M Velazquez, Dr M Forshaw
Application Deadline: 31 May 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. September 2020, 3.5 years duration. Overview. There is a need to develop strategies for effective application of antibiotics in animal production to ameliorate the current threat of antimicrobial resistance affecting animal and human health.
  BBSRC CTP four-year studentships for October 2020

Funding Type

PhD Type

 The Biotechnology and Biological Sciences Research Council (BBSRC ) has awarded a Collaborative Training Partnership (CTP) grant to a consortium led by Berry Gardens Growers Ltd and NIAB EMR.
  An investigation of the impact of disruption on occupiers and landlords in Commercial Real Estate Markets (Advert Ref: SF19/EE/ABE/GREENHALGH)
  Prof P Greenhalgh, Dr K Muldoon-Smith
Applications accepted all year round

Funding Type

PhD Type

Commercial real estate markets are increasingly prone to dynamic and disruptive change, the drivers of which include technological, social, environmental and employment practices.
  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.
  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.
  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 a holistic data analytical model for reducing workload on doctors in NHS General Practices by safely shifting significant workload to other competent professionals (Advert Reference: SF19/EE/CIS/ALI)
  Dr A Ali, Dr S Khan
Applications accepted all year round

Funding Type

PhD Type

Primary care is critical to the effectiveness and sustainability of the health system in the UK. This is recognised in the current transformation of healthcare that aims to provide care and treatment in the community rather than through hospital-centric services.
  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.
  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.
  Innovation readiness of public sector procurement practices in the construction industry (Advert Reference: SF19/EE/MCE/SAMWINGA)
  Dr V Samwinga, Prof D Greenwood
Applications accepted all year round

Funding Type

PhD Type

Carillion’s collapse in January 2018, which will cost taxpayers at least £148 million and affected up to 30,000 subsidiary businesses, has intensified debate over the effectiveness of UK public procurement practices and how risk is dealt with.
  Multimodal Deep Learning for Context Awareness (Application Ref: SF19/EE/CIS/WEI)
  Dr B Wei, Prof W L Woo
Applications accepted all year round

Funding Type

PhD Type

Context-awareness plays an essential role in a smart building, including many applications such as indoor localisation, activity recognition, identity recognition, etc.
  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.
  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.
  Bacteriophage role in the establishment of preterm infants’ gut microbiota (Ref: SF20/APP/SMITH3)
  Dr D Smith
Applications accepted all year round

Funding Type

PhD Type

Survival of very preterm infants has increased over the last 20 years, but late onset sepsis (LOS) and necrotising enterocolitis (NEC) remain a major cause of death and ongoing developmental problems in this population.
  Computational Enzyme Design for the Development of Biotechnology to Create a new generation of living buildings (Ref: ET20/HLS/APP/SINGH)
  Dr W Singh
Application Deadline: 8 May 2020

Funding Type

PhD Type

This PhD project will involve the following topics. Plastic breakdown. Computational enzyme design to suggest mutants which may improve the catalytic efficiency of PETase and MHETase for polyethylene terephthalate hydrolysis.
  Development of next-generation analytical and data treatment approaches for enhancing possibilities in forensic profiling of chemical residues (Ref: SF20/APP/GALLIDABINO)
  Dr M Gallidabino
Applications accepted all year round

Funding Type

PhD Type

Chemical traces, such as gunshot or arson accelerant residues, are common evidence types that can assist in the investigation of many serious crimes.
  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.
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