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time series PhD Projects, Programmes & Scholarships
We have 132 time series PhD Projects, Programmes & Scholarships
Last chance to apply
Adaptive Inference and Segmentation for Functional Time Series
About the Project. The School of Mathematical Sciences of Queen Mary University of London invite applications for a the below project. Read more
High-dimensional functional time series modelling of environmental datasets
Research Group:
Division of Statistics
In a dynamic time-series model, selecting the appropriate lag order is crucial for understanding the predictive relationships among variables and generating accurate forecasts. Read more
Last chance to apply
Statistical modeling of high-dimensional financial time series
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2025. . Read more
QUARTILES DLA: Assessing the impact of glacier surges on 21st century ice mass loss in Svalbard using satellite remote sensing, climate reanalysis and modelling
This fully funded PhD project is part of the QUARTILES Doctoral Landscape Award, a BBSRC and NERC-funded research and training programme designed to equip… Read more
Reduction of cardiac complexity as a general marker of disease
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
Modelling health-climate interaction
We are pleased to announce a highly competitive PhD opportunity in statistics with a focus on advanced statistical modelling of health and climate data. Read more
Modelling and identification of cerebral blood flow control
Research Group:
Cyber Physical Systems
Co-Supervisor. Professor David Simpson. Read more
Deep learning for online Classification
In online learning, to detect the change of pattern in data stream is called drift detection. It is a pivotal problem, particularly when dealing with ongoing data streams. Read more
Unravelling past dryland hydroclimate (RS25/EE/GES/MARKOWSKA)
Our planet's drylands are at the centre of an intriguing climate mystery. These regions, which cover nearly half of Earth's land surface and support 2 billion people, are predicted to expand significantly as our planet warms. Read more
Developing a multi-source remote sensing and AI based methods for automated monitoring of illicit crops and their drivers.
This project will develop novel remote sensing technologies using AI methods to monitor illicit crop production. Illicit crops, such as opium poppies, coca, and cannabis, mostly used in drug production, are a major funding source for criminal and terrorist activity. Read more
Identifying drivers of language development in children’s interactions
The University of Manchester
Faculty of Humanities Doctoral Academy, School of Arts, Languages and Cultures
Language skills are vital to children’s ability to thrive in school and elsewhere. In order to support children’s language development we need to understand the aspects of early interaction that drive their learning (Donnellan et al, 2019; Down et al, 2015). Read more
Coastal sediment dynamics on the North Coast of Northern Ireland at decadal to centennial time scale.
Research Group:
Geography and Environmental Studies
Up-to-date shoreline models, lacking reliable long-term data to be calibrated with, fail to predict the consequences generated by the current and future context of sea level rise and climate change. Read more
Astrophysical Light Curve Analysis in the Era of Big Data
AI_CDT_DecisionMaking. Details. With next-generation observatories such as the Vera C. Rubin Observatory, ESA[’]{dir"rtl"}s Euclid mission, the Nancy Grace Roman Space Telescope, and the Square Kilometre Array (SKA), astrophysics is witnessing a revolution in data availability. Read more
Next-generation statistical models of rivers and transport phenomena for the water industry
This project is offered by the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), for study commencing in September 2025. Read more
Simulation-based inference for financial econometrics models
In modern statistical applications, many complicated models have two common features. First the likelihood functions are often difficult to evaluate; second the model is generative. Read more