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Operational Research (analytics) PhD Projects, Programs & Scholarships

We have 13 Operational Research (analytics) PhD Projects, Programs & Scholarships

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Showing 1 to 13 of 13
  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.
  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.
  Service-oriented Information Modelling and Analytics of Sensor Data for Designing Smart Thermal Desorption Products
  Dr Y Liu
Application Deadline: 30 September 2019

Funding Type

PhD Type

Thermal desorption equipment is used in a variety of areas, such as environmental monitoring and security, where high availability is either essential or highly desirable – requiring relatively shorter lead time for consumables, wear and tear parts, and spares.
  Analytics for Smart Buildings
  Prof J Wright, Mr B Young
Application Deadline: 22 September 2019

Funding Type

PhD Type

Application details. Reference number. ABCE19/R75b. Start date of studentship. 1 January 2020. Closing date of advert. 22 September 2019.
  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.
  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/).
  Development of machine learning, mathematical optimisation and algorithmic techniques for materials chemistry problems (ref CDT06)
  Dr JY Goulermas, Prof M Rosseinsky
Application Deadline: 30 August 2019

Funding Type

PhD Type

Applications should be made as soon as possible. This is an opportunity to undertake one of our new and exciting cross-disciplinary projects lying at the interface between computer science / mathematics and materials chemistry.
  Computational Framework for Adaptable Cyber-Physical Supply Chain
  Prof D Schaefer, Dr J Milisavljevic-Syed
Application Deadline: 30 August 2019

Funding Type

PhD Type

BACKGROUND. Conventional manufacturing is centered around the need to mass produce goods with consistent quality and at a low cost.
  AACE-CED-570: Railway Digital Twin: Getting Best Value from Data
  Research Group: Computational Engineering and Design
  Prof A Keane
Application Deadline: 29 August 2019

Funding Type

PhD Type

The railway industry is committed to transforming the way it works by fully deriving value from data. The advent of modern toolsets, libraries of machine learning algorithms and affordable Big Data platforms, presents a unique opportunity.
  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.
  Optimal Control of Autonomous Vehicles in Highly Dynamic Environments
  Research Group: Operational Research
  Prof J Fliege, Dr T Martinez-Sykora
Applications accepted all year round

Funding Type

PhD Type

Swarms of autonomous flying vehicles have manifold applications, some of them only about to emerge.
  Random forests for noisy applications in finance
  Prof J Fliege, Dr E Dodd
Applications accepted all year round

Funding Type

PhD Type

In the financial and insurance sector, machine learning (ML) challenges usually arise either in a setting where data is contaminated by noise or the model to be learned is of a stochastic nature.
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