James Sweeney

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] .

PhD positions are available in Statistics, focusing on statistical modelling applications in agriculture, at either University College Dublin or the University of Limerick, Ireland. These are 4-year, full-time, fully-funded positions within the context of the VistaMilk Research Centre, a leading interdisciplinary collaboration between agri-food, ICT research institutes, and industry partners. The research centre brings together expertise in data science, agriculture, food, sensing, communications, and social sciences, providing a vibrant environment for innovative research. Potential PhD topics include: (A) the development of innovative statistical and chemometric methods for Agri-Food infrared spectrometry data, aiming to predict traits and outcomes across the supply chain; and (B) the development of spatio-temporal statistical models for water pollution monitoring on river networks, with applications to policy under the EU Water Framework Directive. Both projects offer opportunities to work with real-world data and contribute to impactful research in agri-environmental science. Supervision will be provided by Professors Brendan Murphy and Claire Gormley (University College Dublin) and Professor James Sweeney (University of Limerick). The positions are based in the School of Mathematics and Statistics at UCD and the Department of Mathematics and Statistics at UL. The stipend is €25,000 per year (tax free) for four years, with additional funds for conference travel and a laptop. Tuition fees for Home/EU students are covered automatically, and non-EU students may receive a fee waiver from the respective university. Applicants should have or expect to obtain at least a 2.1 honours degree (or equivalent) in mathematics, applied mathematics, or statistics. Proficiency in statistical modelling and experience with statistical computing (e.g., R, Python, C) are required. Strong communication skills are essential, and experience or interest in probabilistic models, Bayesian inference, and/or statistical computing is advantageous. Non-native English speakers must meet the English language requirements of the relevant university. The application deadline is Sunday, 29 March 2026, 5pm (Irish time), with interviews scheduled for April 2026. To apply, candidates must submit a 2-page CV, a cover letter outlining their skills and motivation, and supporting documents such as transcripts via the FindAPhD link and the relevant university application forms. Informal queries can be directed to the supervisors via email. Applications by email will not be considered.

The University of Limerick, in partnership with University College Dublin, invites applications for fully funded 4-year PhD positions in Statistics, focusing on statistical modelling applications in agriculture. These positions are part of the VistaMilk Research Centre, a leading interdisciplinary collaboration between agri-food, ICT research institutes, and industry partners in Ireland. The research environment is dynamic, with expertise spanning data science, agriculture, food, sensing, communications, and social sciences. PhD candidates will join either the Department of Mathematics and Statistics at the University of Limerick or the School of Mathematics and Statistics at University College Dublin. Two main research projects are available: Project A (UCD): Development of innovative statistical and chemometric methods for Agri-Food infrared spectrometry data, aiming to predict traits and outcomes across the supply chain. This project seeks to unlock the full potential of spectroscopic data for compositional analysis and model deployment in agri-food systems. Project B (UL): Development of spatio-temporal statistical models for water pollution monitoring on river networks. The project will address challenges in sparse data collection and aims to improve understanding of water quality by integrating factors such as agricultural land use, weather, and spatial-temporal data propagation. The research has significant policy implications under the EU Water Framework Directive. Funding: Each position offers a tax-free stipend of €25,000 per year for four years, with additional support for conference travel and a laptop. Tuition fees for Home/EU students are fully covered, and non-EU students are eligible for a fee waiver from the respective university. Eligibility: Applicants should hold (or expect to obtain) at least a 2.1 honours degree or equivalent in mathematics, applied mathematics, or statistics. Proficiency in statistical modelling and experience with statistical computing (R, Python, C) are required. Strong communication skills are essential, and experience or interest in probabilistic models, Bayesian inference, or statistical computing is advantageous. Non-native English speakers must meet the English language requirements of the host university. Applications must include a CV, cover letter, transcripts, and referee contacts. Application Process: Apply via the FindAPhD link and complete the relevant application form for your preferred university. Applications by email are not accepted. The deadline is March 29, 2026, with interviews scheduled for April 2026. The latest start date is September 2026. For informal queries, contact Prof. Brendan Murphy ([email protected]), Prof. Claire Gormley ([email protected]), or Prof. James Sweeney ([email protected]). For more information about the VistaMilk Research Centre, visit www.vistamilk.ie .