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James Sweeney

1 week ago

Fully Funded PhD in Deep Gaussian Processes, Probabilistic Machine Learning, and Battery State Estimation University of Limerick in Ireland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded three-year PhD. Covers university fees and includes a tax-free stipend of up to €25,000 per annum. Additional remuneration may be available through tutoring and grading. Funding is also provided for computing equipment, conference travel, and other research-related expenses.

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Country

Ireland

University

University of Limerick

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Keywords

Computer Science
Electrical Engineering
Mathematics
Operations Research
Stochastic Processes
Transfer Learning
Bayesian Statistics
Statistics
Physics

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About this position

Fully funded PhD opportunity at the University of Limerick in the Department of Mathematics and Statistics on deep Gaussian processes, probabilistic machine learning, statistics, transfer learning, and battery state estimation.

The project focuses on developing novel statistical machine learning methodologies within a Bayesian framework, with particular attention to nonlinear modelling of battery data and uncertainty quantification. The research is carried out in collaboration with Analog Devices Inc., offering industrial exposure and translation of research into real-world applications. A research placement at the Analog Garage Research Lab in Boston, Massachusetts, USA is expected subject to visa requirements and funding availability.

This is a three-year fully funded PhD for students worldwide. Funding includes university fees, a tax-free stipend of up to €25,000 per year, possible additional income through tutoring and grading, and support for computing equipment, conference travel, and other research expenses.

Eligibility: applicants should hold at least an MSc in Mathematics, Statistics, Physics, or a closely related discipline. The post asks for a strong motivation and alignment with the project’s research areas. Application materials include a 2-page CV, a cover letter of up to 2 pages, educational details with overall grade/percentage, and contact details for two academic referees. Official transcripts may also be required.

Applications should be submitted via FindAPhD and the form referenced in the post. Email applications will not be considered. Informal queries can be sent to [email protected].

Funding details

Fully funded three-year PhD. Covers university fees and includes a tax-free stipend of up to €25,000 per annum. Additional remuneration may be available through tutoring and grading. Funding is also provided for computing equipment, conference travel, and other research-related expenses.

What's required

Applicants should hold at minimum an MSc degree in Mathematics, Statistics, Physics, or a closely related discipline. The post seeks a highly motivated candidate with skills aligned to probabilistic machine learning and statistics. Applicants should provide a 2-page CV, a short cover letter (maximum 2 pages), educational details including overall grade/percentage, and contact details for two academic referees. Official transcripts may also be required where relevant.

How to apply

Apply through FindAPhD and also use the application form linked in the post. Do not apply by email. Include a 2-page CV, a short cover letter, and any required supporting documents such as transcripts. Informal queries can be sent to [email protected] with the subject line including “PhD Query”.

More information can be found here

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