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

We have 133 Data Analysis (systems engineering) PhD Projects, Programs & Scholarships

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  Coach’s Companion: A Sport Based Joint Cognitive System
  Prof J Harding, Prof C Dickerson, Dr P Sherratt
Application Deadline: 31 July 2020

Funding Type

PhD Type

Knowledge to support coaching and team selection is diverse, ranging from tacit knowledge, obtained through interactions with people, to statistical data based on performance.
  PhD opportunity in Resilient and Sustainable Infrastructure Systems Design and Analysis
  Dr M-A Cardin
Applications accepted all year round

Funding Type

PhD Type

I am always looking for excellent candidates to pursue PhD studies in my research group, focusing on the theme of Resilient and Sustainable Infrastructure Systems Design and Analysis at the Dyson School of Design Engineering, Imperial College London.
  Multi-hazard risk and uncertainty quantification for rail infrastructure systems
  Dr S Kaewunruen
Applications accepted all year round

Funding Type

PhD Type

The University of Birmingham, as part of a multi-university multi-disciplinary rail research team, has recently been The University of Birmingham is host…
  Manufacturing 4.0: Design of Smart Manufacturing Systems
  Dr J Milisavljevic-Syed
Application Deadline: 1 November 2020

Funding Type

PhD Type

BACKGROUND. Conventional manufacturing processes are designed for mass production at a low cost. In recent years, globalization of markets has imposed demands on enterprises to respond rapidly to technological advances and changing preferences of a large customer base.
  Hybrid dynamic modelling framework for bioprocess digitalisation and optimisation
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  2019/20 PhD programs at the IMT School for Advanced Studies Lucca

Funding Type

PhD Type

Highly motivated candidates from all disciplines are invited to apply for one of the 32 fully-funded scholarships, which are equally divided between two doctoral Programs that integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage.
  Development of hybrid machine learning based strategy for bioprocess online control
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  Combining Synthetic Biology and Modelling to Understand and Predict Evolution
  Dr M Lagator, Dr J-M Schwartz
Applications accepted all year round

Funding Type

PhD Type

Mutations, and their effects on organismal fitness, lie at the heart of understanding and predicting evolution. Because of its central role in determining evolutionary outcomes, much experimental and theoretical effort has been put into describing the fitness effects of mutations.
  Autonomous Systems for Offshore Wind O&M – Strategies, Guidelines, and Tools; Engineering – PhD (Funded)
  Dr A Pillai, Dr L Johanning
Application Deadline: 22 November 2019

Funding Type

PhD Type

This PhD at the University of Exeter is sponsored by EDF Energy which is at the forefront of the drive towards low carbon electricity generation.
  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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