Welcome to the School of Computer Science and Statistics! We are a thriving multidisciplinary school encompassing five disciplines with over 130 academic, teaching, research and support staff. The school hosts two cutting-edge SFI Research Centres and is located across eight locations on campus. As an integral part of the E3 initiative, we collaborate closely with the Schools of Engineering and Natural Sciences to drive ground-breaking research and education.
Our commitment to excellence is evidenced by being the leading university in Ireland in Computer Science and ranked in the Top 100 globally.
Whether you are starting your academic career or seeking to advance your expertise, the School of Computer Science and Statistics is the perfect place to thrive and innovate.
The School of Computer Science and Statistics (SCSS) invites applications for the position of School Manager. The School Manager is responsible for the provision and management of a high-quality, responsive administrative service to support a diverse portfolio of School activities. The role is directly responsible for ensuring all School administrative processes and systems effectively facilitate strategic and budgetary planning; academic administration and curricula development; enhancing research funding opportunities; staff recruitment and management; and the implementation of, and adherence to, School and College policies and strategies. The School Manager provides strong and positive leadership for the administrative staff team.
The SCSS School Manager supports and works closely with the Head of School and School Directors and is a member of the School Directors’ Group contributing to the development and implementation of the strategic objectives of the School. The School Manager is also a key member of the School Executive and an experienced point of reference for both the professional and academic staff in the School. The School Manager reports to the Head of School.
Closing Date: 12 noon 4th December 2023
The School of Computer Science and Statistics is seeking to appoint an Assistant Professor in Statistics, who will join the Discipline of Statistics and Information Systems.
The Assistant Professor will be a full faculty member, and as such will be expected to innovate in both research and teaching, to assist in the administration and mission of the School and contribute to the wider research community. The appointee should have the potential to develop into a leader in their particular field of research with a world-class research programme. The successful candidate will be expected to contribute to undergraduate and/or postgraduate teaching in the School, particularly in areas of Statistics and Information Systems.
The successful candidate will be an excellent researcher and lecturer with a strong international research track record and clear potential for research leadership. They should have a strong commitment to research-led undergraduate and postgraduate teaching and a demonstrated capacity/potential to attract research funding and develop a world-class research programme.
Applications are encouraged from candidates in the field of Statistics with a strong statistical learning component, and a genuine commitment to the role of teaching Statistics at undergraduate and postgraduate level across many disciplines in Mathematics, Science, Engineering and the Humanities. The successful applicant will have a primary degree and a Ph.D. in Statistics or another subject with a strong statistical component. The group particularly welcomes applicants who have experience and interest in working in an interdisciplinary setting, and most notably individuals who have a sound theoretical base with interests in research questions that can exploit the Discipline's position within a School of Computer Science and Statistics.
Please see jobs.tcd.ie for Trinity College Dublin Vacancies portal.
Application closing date is November 14th 2023.
We are seeking to recruit a Postdoctoral Research Fellow to work on our groundbreaking content licensing system, utilising your expertise in machine learning to enhance copyright protection and streamline the licensing process. We require a solutions-focused person that can deliver a high-valuable impact to the project through the implementation of technical solutions to the project goals, in particular to develop an Artificial Intelligence (AI) ‘digital agent’ to assist those who licence (buy) content and those who licence (sell) content online.
The successful candidate must hold a PhD in Computer Science or a related field, and possess a strong background in machine learning, deep learning, statistical analysis, knowledge representation and analysis of data structures. They will be joining a group that includes Dr. Carl Vogel as research leader, Stephen Conmy as Commercial manager, and Aiden Murray as Product manager and systems engineer, to together develop a prototype architecture that exploits the knowledge it captures.
Interested candidates can send their application directly to Aiden Murray (email@example.com) quoting 'Contenseo Machine Learning Research Fellow' in the title, and containing the following: detailed curriculum vitae including relevant peer-reviewed publications, and a cover letter that outlines: your experience (work/academic), your interest/suitability for the role, why you wish to conduct this research project and how you will be able to complete the research successfully, your personal/professional motivations, and why you consider yourself to be a solutions-focused team player.
We are seeking to recruit a Postdoctoral Research Fellow to investigate the use of deep reinforcement learning (RL) and swarm intelligence techniques to optimize urban and highway traffic in the presence of autonomous and conventional vehicles within the ClearWay project funded by Science Foundation Ireland from 2022-2026.
The successful candidate must have a PhD in Computer Science, Computer Engineering, Electronic Engineering, or a related field. The post is applicable to both new and experienced PhD holders, and salary will be commensurate with experience and achievement. The successful candidate will join an inter-disciplinary team of highly-skilled and innovative researchers in the areas of RL and intelligent mobility.
Application Procedure: Please send applications by email to firstname.lastname@example.org and email@example.com quoting “ClearWay Fellowship” in the subject line and containing three PDF files as follows: A cover letter; a curriculum vitae (giving full details of qualifications and experience, including transcripts of degrees, a description of your contribution to relevant project work, identification of your three most-significant publications relevant to the ClearWay project, and the names and contact details of two referees) and a 1-2 page research proposal.
Vacancy Posted 2023 June 8
We are seeking to recruit a Postdoctoral Research Fellow to investigate the use of Machine Learning for sustainable mobility, within CONNECT - the Science Foundation Ireland Research Centre for Future Networks and Communications in collaboration with the E3 Kinsella SUMMIT (Sustainable Mobility Models for a Just Transition) initiative. The successful candidate must have a PhD in Computer Science, Computer Engineering, Electronic Engineering, or a related field. The post is applicable to both new and experienced PhD holders, and salary will be commensurate with experience and achievement. The successful candidate will join an inter-disciplinary team of highly-skilled and innovative researchers in Sustainable Mobility. Application Procedure Please send applications by email to Melanie.Bouroche@tcd.ie and Vinny.Cahill@tcd.ie quoting “Personalized Mobility as a Service Fellowship” in the subject line and containing three PDF files as follows: A cover letter, a curriculum vitae (giving full details of qualifications and experience, including transcripts of degrees, a description of your contribution to relevant project work, identification of your three most-significant publications relevant to the project, and the names and contact details of two referees), and a 1-2 page research proposal