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We have 94 time series PhD Research Projects PhD Projects, Programmes & Scholarships

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time series PhD Research Projects PhD Projects, Programmes & Scholarships

We have 94 time series PhD Research Projects PhD Projects, Programmes & Scholarships

Exploring close binary stars: Using nonlinear time series analysis and machine learning for analysing stellar light curves.

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Funded PhD Opportunity: Pioneering Time Series Analysis Through Self-Normalisation

About the project. Techniques and Overview. In the intricate world of statistical analysis, accurately understanding the variance of temporally correlated data is crucial for reliable conclusions. Read more

Revealing low abundant but highly active nitrifiers in coastal sediments

Nitrification is a key global biogeochemical pathway oxidising the most reduced form of nitrogen –ammonia (NH. 3. ), to nitrite (NO) (ammonia oxidation, AO) and then nitrate (nitrite oxidation, NO). Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Scalable continuous Machine Learning for non-Stationary Systems

Nonlinear time series prediction attracts researchers from many different disciplines such as engineering systems condition monitoring and control, financial markets prediction and energy management, etc. Read more

Fractional order modelling of neurons

Project Overview. Fractional order calculus (integro-differential equations that are of non-integral order) is an emerging methodology with wide applications across all areas of Physics and Engineering. Read more

Stochastic modelling and inference for live-cell gene expression time-series data to unravel the mechanisms of stem cell differentiation

  Research Group: Division of Statistics
This project will develop statistical methodology for noisy time-series data and stochastic computational models to analyse live-cell imaging data provided by the lab of our collaborator Dr Cerys Manning at the University of Manchester. Read more

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