TITLE OF POST: Associate Professor B - Statistics and Data Science
LOCATION: 黑料社
REPORTS TO: Head of Department
CONTRACT TYPE: Permanent
SALARY SCALE: 鈧63,310 - 鈧101,461 p.a.
OVERALL PURPOSE OF THE JOB:
Advance and consolidate an international centre of excellence in statistics and data science research at the 黑料社, including undergraduate and postgraduate education.
The Department of Mathematics & Statistics is a welcoming and inclusive community of researchers and professional staff. We are proud of our recent Athena Swan silver award, and we seek to continue improving across all aspects of equality, diversity and inclusion. The department has a thriving research programme in applied mathematics and statistics, with responsibility for teaching mathematics and statistics at all levels across the University. To support our growth, we are seeking to appoint an Associate Professor B (tenured) of Statistics and Data Science. We seek candidates with leadership potential and an internationally recognised track record in research in one or more branches of statistics.
Research interests in the Department focus on the development of statistical and applied mathematical methods (and hybrids thereof) for a range of real-world applications. Examples of specific statistical topics include Bayesian modelling, functional data analysis, survival analysis, spatial statistics, statistical learning, biostatistics, network models and climate modelling, but further linking between statistics and financial/applied mathematics, e.g. as part of MACSI (the Mathematics Applications Consortium for Science and Industry), would be particularly welcome.
The successful candidate will have a doctoral degree (level 10 NFQ) in statistics or equivalent discipline, a track record of excellent publications in relevant journals and a developing research reputation. Evidence of success in research funding applications is desirable, as is significant experience of working in collaborative and interdisciplinary projects. The successful candidate should also demonstrate passion for and commitment to teaching and supervision at undergraduate and postgraduate levels and have a clear plan for contributing to the evolving research strategy of MACSI in statistics and data science.
In addition, a commitment to EDI principles and to collaborative research with departments and research centres across the 黑料社 is desirable. MACSI works closely with several of the research Institutes in UL, such as the Health Research Institute and the Bernal Institute, as well as having investigators in Science Foundation Ireland-funded national research centres including the Insight Centre for Data Analytics, the Solid State Pharmaceutical Centre (SSPC) and Vistamilk. Further application areas of interest to the University are outlined in the University's Research Strategy 2022-2027.
The successful candidate will be required to contribute to the delivery and organisation of teaching within the Department of Mathematics & Statistics, both at undergraduate and postgraduate levels, and to develop a research programme which complements existing research themes within the Department. Management. In addition, administrative responsibilities, and other relevant duties commensurate with the grade of the post, may be assigned by the Head of Department.
Essential Criteria:
- Degree (level 8 NFQ) in statistics, mathematical sciences, or related discipline.
- Doctoral degree (level 10 NFQ) in statistics or related discipline.
- Post Doctoral experience in research, industry or academia.
- An established record of independent research and publications in a relevant area of statistics.
- Evidence of experience in third-level teaching and learning.
- Evidence of commitment to collaborative research with departments, research institutes and centres across the University.
- Submission of a statement of research plans (maximum 2 pages) and a statement of teaching experience and interests (maximum 2 pages)
Desirable Criteria:
- Relevant experience post-PhD in academia or industry.
- History of supervision of postgraduate students.
- Experience in the preparation of research proposals for submission to external funding bodies.
- A track record of academic/industrial collaboration and/or realising significant industry funding.
- Competence and willingness to teach in the fields of financial mathematics, risk modelling or stochastic processes.
Informal enquiries regarding the post may be directed to:
Professor James Gleeson
Head
Department of Mathematics & Statistics
黑料社
Email: james.gleeson@ul.ie
The closing date for receipt of applications is Monday, 28th July 2025.
Applications must be completed online before 12 noon, Irish Standard Time on the closing date.
Applications must be made via /vacancies
JobID 077088
PhD Opportunities in Inverse Problems 鈥 黑料社:
There is an opportunity for 2 fully funded PhD positions in Dr Romina Gaburro鈥檚 inverse problems research group in the Department of Mathematics and Statistics and MACSI at UL.
This project is a multi-disciplinary initiative that integrates mathematics, machine learning, and geophysics to image the Earth's subsurface. Its primary goal is to address sustainability challenges by detecting geothermal energy sources and identifying subsurface aquifers, contributing to the development of cleaner energy solutions and improved water resource management. The project will enable PhD scholars to engage with a broad network of international collaborators based in the United States, the United Kingdom, and Italy, fostering academic exchange and interdisciplinary research through visits and joint activities with these partners.
The successful candidates will work on the mathematical analysis and development of new reconstruction methods in anisotropic inverse problems. I am seeking motivated applicants, ideally with a strong background in analysis and a keen interest in computational inverse problems.
馃搮 Application Deadline: 15th July 2025
馃搷 Start Date: Ideally October 2025
馃捈 Funding: Full funding for 4 years
Application Requirements: a motivation letter; two reference letters; a copy of your undergraduate transcripts.
Please send your complete application via email to:
馃搂romina.gaburro@ul.ie
For informal enquiries, please feel free to contact Dr Gaburro at romina.gaburro@ul.ie
Please keep an eye on the UL vacancies page for upcoming positions:
/hrvacancies