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Data Analysis (information systems) PhD Projects, Programs & Scholarships

We have 141 Data Analysis (information systems) PhD Projects, Programs & Scholarships

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  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.
  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.
  Discover doctoral opportunities at the Information School

Funding Type

PhD Type

The Information School. A long established and highly respected department, the Information School is the number one department of its kind in Europe, and second in the world according to the QS World University Rankings by Subject 2019.
  Global supply chain and resource management for aircraft fleets in uncertain environments
  Research Group: Operational Research
  Dr S Coniglio, Prof J Fliege
Applications accepted all year round

Funding Type

PhD Type

We want to develop novel mathematical models and optimisation algorithms for joint supply chain and resource management in an uncertain environment.
  Information Dynamics in Decentralized Decision Making Processes
  Dr I Esnaola
Applications accepted all year round

Funding Type

PhD Type

Most daily-life activities of both humans and machines depend upon a simple yet central set of capacities inherent to humans and recently granted to machines.
  Smart Local Energy Systems (SLES) (EPS2020/43)
  Dr D Flynn
Application Deadline: 28 February 2020

Funding Type

PhD Type

The future potential of critical energy infrastructure is the integration of smart local energy systems (SLES). SLES will be tailored to the needs of the community in order to optimise the cost, resilience and low carbon attributes the climate emergency demands.
  Security-Aware Safety Monitoring of IoT-enabled Smart Environment
  Research Group: Applied Computing
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Internet of Things (IoT) is a promising networking paradigm that integrates physical processes with the cyber world to provide useful services.
  Cyber threats prediction using experience sharing model and ensemble learning algorithms
  Dr A Mohasseb, Dr B Aziz
Application Deadline: 23 February 2020

Funding Type

PhD Type

Applications are invited for a three year PhD to commence in October 2020. The PhD will be based in the Faculty of Technology, and will be supervised by Dr Alaa Mohasseb and Dr Benjamin Aziz.
  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.
  Knowledge-based Design of Cyber-Physical-Product-Service (CPPS) Systems
  Dr J Milisavljevic-Syed
Application Deadline: 1 September 2020

Funding Type

PhD Type

BACKGROUND. In today’s global market, dynamic market changes due to variations in customer preferences or disruptions in supply chains or during production require global adjustments in production to accommodate these changes and meet the demands in a timely manner.
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