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Data Analysis (equality) PhD Projects, Programs & Scholarships

We have 41 Data Analysis (equality) PhD Projects, Programs & Scholarships

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  PhD Studentship: Portable hybrid gamma-optical camera for quantitative 3D precision imaging in cancer diagnosis
  Dr S Bugby, Dr G Cosma
Application Deadline: 3 April 2020

Funding Type

PhD Type

Application details. Reference number. SB/PH/2020. Start date of studentship. 1 October 2020. Closing date of advert. 3 April 2020.
  PhD in Chemistry – Luminescent arrays for the detection of liver disease
  Dr W Peveler
Application Deadline: 31 August 2020

Funding Type

PhD Type

This PhD project will seek to improve the speed, sensitivity and accuracy of a sensor array for detecting biomarkers of liver fibrosis, leading to a better blood test for the condition (https://doi.org/10.1002/adma.201800634).
  An AI-driven approach to proactive Internet Of Things (IoT) based systems - Project ID SOC0008
  Prof X Liu
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things (IoT) refers to the ever-growing network of physical objects such as smart devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to interact autonomously and intelligently.
  Chaos-based Multimedia Encryption and Watermarking Schemes
  Dr J Ahmad, Prof B Buchanan
Applications accepted all year round

Funding Type

PhD Type

For two decades, numerous researchers have reported a close relationship between chaos and cryptography. Encryption based on chaos theory (for example logistic and tent maps) has several characteristics such as pseudo randomness, ergodicity and strong dependence on initial conditions etc.
  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.
  Computer Vision and Machine Learning for ReIdentification of Civil Structural Components and their Damage Analysis.
  Dr B Mandal
Applications accepted all year round

Funding Type

PhD Type

In this project the PhD research student needs to understand the strengths and weaknesses of the deep convolutional neural network for analysis of civil infrastructures, such as concrete bridges, highways, buildings, tunnels and stadiums, using videos/images captured by a network of multiple cameras.
  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.
  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.
  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.
  Mechanisms underpinning competition: The science behind winning (Ref: SF20/SER/HETTINGA2)
  Prof F Hettinga
Applications accepted all year round

Funding Type

PhD Type

Sport is an ideal scenario to explore psychological as well as (neuro) physiological mechanisms underpinning competition. In middle distance and endurance sports such as athletics, rowing, cycling or speed skating, an athlete’s pacing strategy is widely recognized as an essential determinant for performance.
  Ready, Set, Go: Promoting and preserving health and wellbeing in children and adolescents (Ref: SF20/SER/HETTINGA1)
  Prof F Hettinga
Applications accepted all year round

Funding Type

PhD Type

As part of our Child and Adolescent Research Exchange (CARE) initiative, we offer an extensive range of research opportunities in the field of sports, exercise and health.
  The gut microbiome and inflammaging (CARDINGQ20CASE)
  Prof S Carding, Dr A Parker
Application Deadline: 23 March 2020

Funding Type

PhD Type

Dementia and early onset neurological disease has overtaken respiratory infectious disease as a leading cause of death in the UK and is a priority for UK and international government health departments.
  Learning and cognition: Investigating the pathways from genetic variation to phenotypic expression
  Dr M Malanchini
Application Deadline: 16 March 2020

Funding Type

PhD Type

A fully funded PhD studentship is available to start in September 2020 in Dr Margherita Malanchini’s group. The project will be co-supervised by Dr Kaili Rimfield and Professor Robert Plomin of King’s College London.
  EPSRC Centre for Doctoral Training in Sensor Technologies for a Healthy and Sustainable Future (Sensor CDT)

Funding Type

PhD Type

The EPSRC Centre for Doctoral Training in Sensor Technologies for a Healthy and Sustainable Future (Sensor CDT), at the University of Cambridge, is looking for aspirational, enthusiastic and open-minded students to join its vibrant environment.
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