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establishing co-funding arrangements with non-academic organisations. In the longer term the focus will be on developing strategic collaborations and scale funding opportunities. The Strategic Collaboration Lead
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. The successful candidate will play a key role in the design, development, and implementation of quantitative models and analytical frameworks to assess demand-side flexibility, distributed energy resources, and
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the strategic development and implementation of Maynooth University’s widening participation community engagement strategy ensuring alignment with national and institutional strategic objectives. The Widening
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development of data architectures, analytics tools, and interoperability frameworks aimed at integrating building energy data into flexibility markets. They will work closely with an established team
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providers, and policymakers. The appointee will assist with all aspects of the administration, operation, governance and management of the Network, including helping to develop policies and procedures
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. We are seeking an experienced and strategic Senior Student Recruitment Manager (Undergraduate) to lead and develop the University’s Undergraduate Student Recruitment team, supporting prospective
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researchers and a multidisciplinary team across institutions, contributing to the development, testing, and application of tools, datasets, and analytical methods used within the project. This role is intended
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of Education Policy, contributing to the strategic direction of the department. They will contribute to the development of Education Policy studies across our programmes, mentor early-career academics, and
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network service, administer data centre network services on campus and cloud hosted, and be involved in the future planning and development of services. The role will assist in ensuring that the security
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the Department of Chemistry. The position is funded under a Research Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials