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analytics PhD Projects, Programs & Scholarships

We have 92 analytics PhD Projects, Programs & Scholarships

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  Compressed learning and analytics at edge cloud
  Assoc Prof Qi Zhang, Assoc Prof Daniel Enrique Lucani Rötter
Application Deadline: 1 November 2019

Funding Type

PhD Type

Machine learning and data analytics are popular and powerful data processing methods to extract knowledge from raw sensor data in IoT.
  PhD Scholarship: Developing a Manufacturing Analytics Cockpit
  Prof T Margaria
Applications accepted all year round

Funding Type

PhD Type

In the CONFIRM research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems.
  Analytics to interpret acoustic emission generated by geotechnical infrastructure assets
  Dr A Smith
Applications accepted all year round

Funding Type

PhD Type

Proportions of the energy dissipated during deformation of particulate materials are converted to heat and sound. The high-frequency (>10kHz) component of this sound energy is called acoustic emission (AE).
  Scalable big data analytics for healthcare translation
  Dr J Ho
Applications accepted all year round

Funding Type

PhD Type

A range of specific PhD projects can be developed within the broad theme of scalable big data analytics for healthcare translation, including.
  Analytics Theory and Applications for Teaching Children with Autism Spectrum Disorder
  Dr H Liu, Dr Z Ju
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a self-funded, 3-year full-time or 6-year part-time PhD project, to commence in October 2019 or February 2020.
  Big Data Analytics and Mining: investigating and testing distributed formulations of data mining algorithms that are suitable for the MapReduce paradigm and for other distributed computing approaches
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Big Data indicates very large and complex data sets that are difficult to process using traditional and sequential data processing applications.
  Smart Data Analytics for Climate/Weather workflows
  Dr J Kunkel, Prof B Lawrence
Applications accepted all year round

Funding Type

PhD Type

Efficient post-processing of climate and weather data is key for the data analysis. At the moment, scientists use toolkits from Python like Pangeo and command line tools like CDO.
  Analytics for condition based maintenance
  Dr A Zemkoho, Dr S Coniglio
Applications accepted all year round

Funding Type

PhD Type

Siemens Rolling Stock UK is sponsoring a PhD project on Data Analytics and Operational Research. This project will focus on developing a combination of data- and model-driven approaches to support the condition based maintenance of rolling stock equipment.
  Big data analytics and visualization for personalized Type 2 Diabetes treatment and management support
  Dr N Philip
Applications accepted all year round

Funding Type

PhD Type

Type II (T2DM) is a chronic, multifactorial disease resulting in severe complications that lead to increased morbidity and even death.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Research Group: Applied Computing
  Dr S Konur
Applications accepted all year round

Funding Type

PhD Type

Information processing and understanding using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets, making sense of ambiguity in data that is often noisy and not always robust.
  Unlocking the Power of Data in the Shipping Industry
  Dr A Coraddu
Applications accepted all year round

Funding Type

PhD Type

For the Shipping Industry, the Information Age means the availability of ever-growing amount of data coming from multiple sensors present on-board.
  Data Analytics For Pore Water Pressure - New Tools For Sustainable Groundwater and Engineering Projects
  Prof W Timms
Applications accepted all year round

Funding Type

PhD Type

This new PhD scholarship will develop advanced pore pressure analysis for groundwater systems with engineering applications in civil construction, mining operations and water supply systems.
  Multi-objective optimization data analytics for decision support in exploring different system designs
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Many data modeling problems can be formulated as standard optimization problems in which a scalar cost function is minimized with respective to some parameters in system design.
  Big Data Analytics for Location Based Services
  Dr X Wang
Applications accepted all year round

Funding Type

PhD Type

Xi’an Jiaotong Liverpool University (XJTLU), located in the paradise city Suzhou, is a unique research led university formed by two prestigious universities – Liverpool University in the UK and Xi’an Jiaotong University in China.
  Data science frontier: theory and algorithm
  Prof L Cao
Applications accepted all year round

Funding Type

PhD Type

Theoretical breakthroughs in frontier data science will be built on top of statistic learning and deep learning for complex data analytics and learning.
  Internet of Things Infrastructure for Sustainable Wildlife Conservation (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project will investigate the design and development of an end-to-end, distributed, Internet of Things (IoT) infrastructure to support sustainable wildlife conservation.
  PhD studentship in Resilient and Sustainable Infrastructure Systems Design and Analysis
  Dr M-A Cardin
Applications accepted all year round

Funding Type

PhD Type

There is an opening for a fully funded PhD studentship in Resilient and Sustainable Infrastructure Systems Design and Analysis at the Dyson School of Design Engineering (https://www.imperial.ac.uk/design-engineering/), Imperial College London (http://www.imperial.ac.uk/).
  Semi-supervised and Unsupervised Deep Learning for Human Behaviour Understanding in Short Videos Clips.
  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 emerging semi-supervised and unsupervised deep learning networks for analysing videos.
  Knowledge based process planning using manufacturing big data
  Dr X Zhang
Applications accepted all year round

Funding Type

PhD Type

In the era of the fourth industrial revolution, dubbed as Industry 4.0, manufacturing resources will be digitised and integrated into a digital ecosystem of manufacturing network.
  Exploring the relationship between Tinto’s Personal Attributes and retention in Computer Science degree programmes (Advert Reference: SF18/CIS/PRICKETT)
  Dr T Prickett, Dr L Zhang, Dr M Harvey
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to explore the relationship between Computer Science students’ personal attributes and their retention at University.
  Are Digital Transformations driving economic growth in Yorkshire?
  Dr R Woodhead, Dr D Mali
Applications accepted all year round

Funding Type

PhD Type

Context. Some industrial enterprises in Yorkshire are investing heavily in Digital Transformations, others are not. Jeff Immelt, former chairman of General Electric said “Every industrial company has to become a software and analytics company” (Immelt, 2015).
  Planning and Design of Distribution Networks with Integration of Smart Grid Technologies
  Research Group: Communication and Networks
  Dr G Mokryani
Applications accepted all year round

Funding Type

PhD Type

The UK Government’s target is to achieve 15% of electricity generation from renewable energy sources (RES) by 2020. The installation of large amounts of RES in distribution networks introduces several economic and technical challenges to distribution network operators (DNOs).
  Life Sciences Postgraduate Open Evening

Funding Type

PhD Type

Join us and explore our postgraduate opportunities that span across the Life Sciences within the Faculty of Biological Sciences and School of Medicine.
  New four year PhD opportunities for September 2019

Funding Type

PhD Type

The Creating Our Lives in Data programme, aims to establish technologies and methods to enable producers and consumers in the Digital Economy to co-create smarter products in smarter ways, to re-establish trust in the use of personal data.
  Prestigious Strathclyde/NPL PhD Studentship: Structural Health Monitoring of Critical Energy Infrastructure with Predictive Maintenance
  Dr P Niewczas, Dr V Livina
Applications accepted all year round

Funding Type

PhD Type

The lack of risk-predictive algorithms limits the ability of engineers to perform predictive maintenance of infrastructure objects.
  Simulation and modelling of innovative mobility services
  Prof K Burnham
Applications accepted all year round

Funding Type

PhD Type

Modern transportation systems require the utilisation of simulation and modelling approaches for evaluation and impact assessment prior to their deployment.
  Social Interactions in Online Games
  Prof R Wilson, Prof A Drachen
Applications accepted all year round

Funding Type

PhD Type

Research areas. Data analytics; Games and gamification; Machine learning. Background. The games industry is currently worth about $100 billion per year, making it one of the largest entertainment industries in the world.
  A novel approach to the development of an antimuscarinic potency tool and measuring anticholinergic burden in older people
  Dr P Nishtala
Applications accepted all year round

Funding Type

PhD Type

A self-funded PhD studentship is available under the supervision of Dr Prasad Nishtala at the University of Bath. This is a collaborative project which will involve working with Dr Hamish Jamieson from the Big Data and Ageing Research Group at Christchurch.
  Examining the longitudinal associations of polypharmacy and frailty with functional decline in older people with multimorbidity
  Dr P Nishtala
Applications accepted all year round

Funding Type

PhD Type

A self-funded PhD studentship is available under the supervision of Dr Prasad Nishtala at the University of Bath. This is a collaborative project, which will involve working with Dr Hamish Jamieson from the Big Data and Ageing Research Group at Christchurch and Dr Danijela Gnjidic at the University of Sydney.
  Fast, reliable and secure wireless IoT chaos-based communication
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

This PhD project tackles scientific issues aimed at creating and laying the mathematical foundations of an innovative Wireless IoT Communication System…
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