Research Fellow (Decadal Prediction)

Research Fellow (Decadal Prediction)

Maynooth University

Maynooth

Department of Geography
ICARUS (Irish Climate Analysis and Research Units)

Research Fellow (Decadal Prediction)
(60-month contract)

The Role

Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued.

We are seeking to appoint a Research Fellow to bring the field of decadal climate prediction to Ireland. The position will be funded by the Marine Institute/European Regional Development Fund project A4 (Aigéin, Aeráid, agus athrú Atlantaigh—Oceans, Climate, and Atlantic Change) and run for a duration of 5 years. The appointee will lead Work package 3 on decadal climate prediction.

The past decade has seen a growing interest in the field of decadal predictability as studies have shown that initialised coupled climate models have the ability to better predict the climate on timescales from years to decades than uninitialized climate projections. While this is not universally true, one place where the skill of initialised predictions is consistently better than unitialised projections is in the North Atlantic.

Even though many centres are now routinely performing decadal forecasts, the resulting analysis is often of global nature, yet, to understand the mechanisms behind predictive skill and ultimately to be informative for stakeholders, decadal predictions need to be analysed for specific regions, and variables customized to user’s needs and demands. This project will focus on the North Atlantic, a region of direct influence on Ireland, by analysing and understanding existing decadal prediction systems.

Associated with the position is one postdoctoral researcher and one PhD position, to be appointed by the successful candidate after joining the team in Maynooth University. Start-up funds are available to establish the new group focused on decadal prediction. Close liaison with IT services at Maynooth University and the Irish Centre for High End Computing is envisioned. The appointee will be expected to collaborate closely with partners NCAR (USA), University of Hamburg (Germany), and the Met Office (UK) on analysis and application of these groups’ decadal prediction systems.

The Research Fellow is expected to develop and lead the decadal prediction group, including leading publications in high impact journals and leading involvement in national, European, and international proposals and initiatives. The appointee will join PIs, Dr Gerard McCarthy, Dr Robin Edwards of Trinity College Dublin, and a representative of the Marine Institute on the steering committee of A4 and be deeply embedded in the development of ocean and climate science in Ireland stemming from the project.

The ideal candidate will have:

• A track record of working in the field of decadal climate prediction or cognate area
• A PhD in oceanography, climate science, meteorology, or a cognate discipline
• Experience of working with large computing infrastructure
• Proficiency in one or more scientific programming language
• Excellent written and communication skills
• An excellent publication record commensurate with career stage

Salary

Research Fellow (2018): €53,776 – €58,597 per annum (4 points)

Appointment will be made in accordance with the Department of Finance pay guidelines.

*New entrants to the public sector will be appointed on the first point of the Postdoctoral Researcher pay scale.

Application Procedure

Closing Date:

23:30hrs (local Irish time) on Sunday, 31 March 2019

Please note all applications must be made via our Online Recruitment Portal at the following link:

https://www.maynoothuniversity.ie/human-resources/vacancies

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Please apply via recruiter’s website.

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