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Applied Mathematics (instrumentation) PhD Projects, Programs & Scholarships

We have 23 Applied Mathematics (instrumentation) PhD Projects, Programs & Scholarships

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Showing 1 to 15 of 23
  Development of Innovative Instrumentation and Modelling for 21st Century CNC Machining
  Research Group: Advanced Metallic Systems Centre for Doctoral Training
  Dr J Willmott
Application Deadline: 29 February 2020

Funding Type

PhD Type

CNC manufacturing is ubiquitous, with the market for machines approaching $100 billion. With 21st century manufacturing materials comes new problems and the need for us to invent the future of sensors and measurements in these processes.
  OIST International PhD Program

Funding Type

PhD Type

The OIST Graduate University offers an individualized PhD program providing a secure foundation in the fundamentals of your field, with unparalleled opportunities for cross-disciplinary research.
  Self-organized collective patterns on graphs (ESR 3)
  Prof M Hutt
Application Deadline: 30 April 2020

Funding Type

PhD Type

Over the last few years, diverse studies have established that many forms of dynamics self-organize on networks to give rise to large-scale collective patterns.
  High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing
  Dr SJ Weddell, Dr R Clare
Applications accepted all year round

Funding Type

PhD Type

Our current research requires the development of a space situational awareness system for classifying Earth-orbiting artificial satellites.
  The physics of flowing suspensions with viscoelastic continua
  Dr C Ness
Application Deadline: 20 February 2020

Funding Type

PhD Type

Suspensions of particles in liquid are found throughout nature and industry, for instance slurries and ceramics. We are just beginning to understand the dramatic influence that particle-particle interactions have on their flow behaviour when the liquid is Newtonian.
  Electro-catalysis over 2D materials
  Dr R Arrigo
Application Deadline: 28 February 2020

Funding Type

PhD Type

PhD Supervisor. Dr Rosa Arrigo, Lecturer in Inorganic Chemistry, University of Salford and Honorary Research Scientist, Diamond Light Source.
  Benchmarking Machine Learning Algorithms
  Dr L Teodorescu
Applications accepted all year round

Funding Type

PhD Type

Machine learning algorithms are employed in a myriad of applications in almost any domain, being it industrial, commercial, scientific or academic.
  Clustering in bioinformatics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

There are many bioinformatics datasets available publically. Extracting consistent information from these require development of novel techniques and tools.
  Data analytics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

In recent years, more and more data are available in many areas. We live in a very data-rich world. Our challenge is obtain information or to develop understanding from such data.
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  Modulation recognition/classification
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

All radio communication signals (radio, television, mobile phones, etc.) are modulated before transmission. Modulation recognition/classification is fundamental for correct demodulation.
  Weibull analysis and extreme regression for small and big data
  Prof K Yu
Applications accepted all year round

Funding Type

PhD Type

Weibull analysis is the popular method to make predictions about the life of all products in the population by fitting a statistical distribution to life data from a representative sample of units.
  Design of advanced cyclic adsorption processes for complex gas separations
  Dr L Joss
Applications accepted all year round

Funding Type

PhD Type

Gas adsorption is one of the key physical processes that underlie the numerous industrial uses of porous solids. These include separation processes (adsorption and membrane processes), catalytic reactions, energy storage, and gas recovery from unconventional plays.
  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.
  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.
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