Professor of Computer Science (2016)

Comp ID: 036539

Post Summary

Trinity College Dublin, The University of Dublin, invites applications for the post of Professor of Computer Science (2016)/Director of ADAPT SFI Research Centre (adaptcentre.ie). It is seeking individuals with a proven international track record of research, of distinguished and effective academic leadership and a commitment to innovative teaching.

The Professor of Computer Science (2016) is a permanent and full professorial Chair position in the School of Computer Science and Statistics within the discipline of Artificial Intelligence (AI). The duration of the role of Directorship of ADAPT, a Science Foundation Ireland (SFI) Research Centre for AI-Driven Digital Content Technology, is dependent on continued funding (currently secured until Dec 2026).

This combined post of Professorial Chair of Computer Science (2016) and Director of SFI ADAPT Centre,  presents an exciting opportunity for an academic to lead research at scale and play a strategic role in shaping research internationally. The post will enable the candidate to build upon already very strong international academic and industry collaborations as well as  initiate new ones.

The post holder will have an exceptional research profile with a demonstrable and sustained ability to: engage in research and publish in the highest impact journals & conferences; raise significant research funding aligned with the national priority research areas of the School, the Centre and wider interdisciplinary research initiatives; lead successful and impactful collaboration with industry; undertake applied research & innovation and an ability to drive international initiatives and provide strategic and forwarding-thinking leadership within their research field.

Applicants for the position should be internationally recognised scholars in some of the following research areas: artificial intelligence, semantic knowledge modelling, and/or data driven analytics. Relevant specialisations within these areas would include: machine learning, natural language processing, knowledge graphs, personalisation, information retrieval and recommendation and other emerging areas of Human Centric AI.

Post status: Permanent Contract

How to apply: Applicants must provide the following information in applying for this position:

Applicants who do not address the application requirements above will not be considered at the short list stage. Applications must be submitted by the closing date specified through eRecruitment.

Please ensure that you allow yourself plenty of time to complete the application process. Any Applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Please see the Job Description below for this position.

Informal enquiries about this post should be made to the Hiring Manager:

• Professor Gregory O’Hare, Head of School of Computer Science and Statistics & Professor of Artificial Intelligence: [email protected]
• Professor Vincent Wade, Professor of Computer Science (Est 1990):  [email protected]

Application queries about this post, please email [email protected] and include the Competition ID number in the subject heading.

At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all individuals, including those applicants with disabilities, those who may have had non-traditional career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war.

We are ranked 3rd in the world for gender equality (Times Higher Education Impact Rankings 2020) and we hold an Athena SWAN Bronze award, recognising our work to advance gender equality. The University is actively pursuing a Silver level award, which it has committed to achieving by 2025. Trinity is committed to supporting the work-life balance and to creating a family-friendly working environment. Trinity welcomes applications from all individuals, including those who may have had non-traditional career paths, those who have taken time out for reasons including family or caring responsibilities, and applicants with disabilities.