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We have 11 Mathematical Modelling PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Newcastle
Mathematical Modelling PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Newcastle
We have 11 Mathematical Modelling PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Newcastle
PhD candidates in Mathematical Modelling aim to develop new analytical and computational methods to describe and predict natural phenomena.
What is a PhD in Mathematical Modelling?
Mathematical Modelling is an important part of many academic areas including Biology, Physics, and Computer Science.
Mathematical Modelling PhDs have a focus on the application of analytical and computational methods to describe and predict natural phenomena.
Typical Mathematical Modelling PhDs have a focus on one of the following fields:
- Biostatistics
- Computational Biology
- Financial Mathematics
- Statistical Mechanics
The scope of Mathematical Modelling research can also be divided into theoretical and computational branches.
If your Mathematical Modelling PhD has a theoretical emphasis, you will focus on developing and applying mathematical theories to real-life problems.
If your Mathematical Modelling PhD has a computational emphasis, you will aim to develop new computational methods to describe and predict natural phenomena.
As a PhD student in Mathematical Modelling, you may also choose to study a subject that is distinct from the main focus of your research. This could be the case if your supervisor offers you the freedom to study a subject that interests you independently of the research project.
Typical PhDs in Mathematical Modelling have a duration of 3-4 years.
PhD in Mathematical Modelling entry requirements
In order to be considered for a PhD in Mathematical Modelling, you will need to show that you have the necessary academic background to complete a research project that has a mathematical emphasis.
Depending on the PhD you choose, you will have to show that you are proficient in certain areas of mathematics.
To be accepted into a Mathematical Modelling PhD, you will need to have a relevant undergraduate degree and most likely a Masters with Merit and an overall Upper Second Class honours degree.
Depending on your undergraduate degree, you might also need to have completed some additional modules.
PhD in Mathematical Modelling funding options
In the UK, you can apply for Research Councils doctoral training studentships to do a PhD in Mathematical Modelling.
These are the main sources of funding for PhDs in Mathematical Modelling in the UK.
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Modelling of High Frequency Power Circuits
This project involves detailed mathematical and simulation modelling of high frequency power switches used in power electronics. Such switches are of importance for many applications in power electronics but are currently not well modelled – particularly their thermal limitations. Read more
Modelling Human-Structure Dynamic Interaction on Lightweight Structures
An ever-increasing use of building materials with high strength-to-weight ratios has led to development of slender and lightweight structures with dazzling forms, especially in case of landmark public structures such as footbridges as well as walkways and corridors between buildings, at airports and shopping centres. Read more
Simulating the uncertain future of the Antarctica Ice Sheet and the role of ice-ocean feedbacks (FAC22/EE/GES/DERYDT)
The Antarctic Ice Sheet is losing ice at an increasing rate, making it one of the largest contributors to present-day sea level rise. Read more
Software Defined Radio Navigation in GNSS Denied Environments - MBDA
This project is part of the . Centre for Doctoral Training in Geospatial Systems. . The successful candidate will be located and supervised by academics from within the Nottingham Geospatial Institute, University of Nottingham and work alongside our external partner. Read more
Design of Non-Binary Error-Correcting Codes for Free-Space Optical Communications
Free-space optical (FSO) communications is an important research area and is now considered to be a competing technology to well-established outdoor RF communication systems. Read more
Real-time prediction of in-service ship seakeeping
Ocean conditions can change significantly during the voyage of a ship and ship disasters still occur due to extreme weather conditions, human navigation/control error or the combination of the two. Read more
A data-driven uncertainty-aware investment planning model in low-inertia power systems under security constraints
Transition to a zero-carbon electricity network necessitates deep integration of renewable resources with weather-dependent intermittent generation into the power system. Read more
Alignment consistency, forward visibility and road safety on undesigned roads
Road traffic crashes are a major cause of injury and premature death in many countries of the world. Read more
Innovative direct air capture and utilisation system for the production of renewable fuel
Direct air capture (DAC), which involves atmospheric CO2 removal, must be implemented alongside other decarbonisation technologies to achieve global climate change mitigation objectives. Read more
Risk and Consequence Analysis of CO2 Transportation
Carbon Capture Storage & Utilisation (CCUS) is one way of preventing CO2 emissions from anthropogenic industrial activities reaching the atmosphere and contributing to climate change. Read more
Real-time optimisation control of batch processes
Batch processes are widely used in the pharmaceutical, specialty chemical, and food industry for the responsive agile manufacturing of high value added products. Read more
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