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Applied Mathematics (systems engineering) PhD Projects, Programs & Scholarships

We have 139 Applied Mathematics (systems engineering) PhD Projects, Programs & Scholarships

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  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.
  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.
  A pressure governing approach for modelling of variable flow systems in Building Performance Simulation (BPS) tools
  Dr M Shahrestani, Dr S Smith, Assoc Prof E A Essah
Applications accepted all year round

Funding Type

PhD Type

Heating and cooling distribution systems are the most common parts of heating, ventilation, air-conditioning and refrigeration (HVAC&R) systems, which account for a significant portion of energy used in HVAC&R systems.
  PhD Case studentship in Advanced Computational Fluid Dynamics (CFD) analysis of Chemical Biological Radiological and Nuclear (CBRN) Canisters in new generation respirators
  Prof N Chakraborty, Dr A Aspden
Application Deadline: 29 February 2020

Funding Type

PhD Type

Number of awards. 1. Overview. The project will utilise advancements of high-performance computing to carry out unsteady Reynolds-Averaged Navier-Stokes (uRANS) and Large Eddy Simulations (LES) of airflow through CBRN filters in breath responsive respirators.
  Integrated deep learning and model structure detection strategy for physical laws development and photobioreactor design
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

Designing industrial scale reaction systems and unit operations takes a sophisticate procedure and involves a range of multiscale modelling and experimentation steps.
  Multiscale dynamic visualisation framework for industrial mutants design and biological knowledge discovery
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

Current industrial bio-production processes exclusively uses yeast and bacteria as the microorganism hosts to synthesise valuable commercial compounds.
  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.
  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.
  Systems modelling for concentrated crystallizing systems
  Dr T Vetter
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a fully funded 3.5 year PhD studentship to be conducted in the School of Chemical Engineering & Analytical Science in the University of Manchester.
  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.
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