Vacancies

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.

Trinity Campus

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.

Academic Opportunities

The School of Computer Science and Statistics is seeking to appoint an Associate Professor in 
Computer Science (Information Systems), who will join the Discipline of Statistics and Information 
Systems. 

The Associate 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 be a well-established researcher 
in the field of Information Systems, with an internationally recognised research programme, and have 
demonstrated the potential to establish a world-class research programme at Trinity College Dublin.

The successful candidate will be expected to contribute to undergraduate and/or postgraduate 
teaching in the School, particularly in the area of Information Systems The Associate Professor will 
be expected to be deeply involved in the running, delivery and future development of our flagship 
‘Management Science and Information Systems Studies (MSISS)’ undergraduate degree course. 

All applications must be made via e-recruitment through the TCD vacancies site: http://jobs.tcd.ie

Please be advised that the closing date for applications is 12:00 noon on Friday 29th August 2025.

Application Link

Full Job Description

Professional Opportunities

The postholder will coordinate the design, delivery, and evaluation of education and outreach activities for primary and post-primary school students as part of the SCSS Schools Outreach team. They will also contribute to the team in areas including student recruitment, communications with teachers, and liaising with and reporting to funders.

Context

The SCSS Schools Outreach team (run in conjunction with the Trinity Access Programmes) provides a range of supports and activities for the students and staff in 40 primary and secondary schools. This includes the CodePlus and Bridge to College programmes, CodePlus talks, and other outreach activities. Activities are targeted at schools which either have DEIS status or are located in areas with low rates of progression to further education.

The CodePlus programme aims to promote Computer Science to teenage girls via active, project-based coding workshops and a series of career talks delivered by female tech professionals. Each year, over 200 students take part in coding workshops as part of CodePlus. The Bridge to College programme aims to introduce young students to working and learning in a university environment, raising the students’ aspirations regarding third level education, and helping the students develop the skills and confidence to succeed in this setting. Each year, approximately 370 students take part in Bridge to College.

This is a specific purpose contract. The specific purpose is to coordinate and deliver outreach programmes for Secondary School students, in particular the CodePlus and Bridge to College programmes.  This employment is not offered on an indefinite basis as the project is finite.  Termination of this contract will occur on completion of the work in which you are engaged in, or in the event of the funding stream being terminated or withdrawn by the funding agency.  

Closing Date: 17th July 2025

Full Job Description

 

PhD Opportunities

A number of fully funded PhD scholarships are available in the areas of Generative AI (GenAI), Predictive Maintenance & Early Warning Systems. The Studentships will provide a tax-free bursary of €25,000 per annum for 4 years together with fee payment. Applications ought to have a 2.1 or 1 Degree in Computer Science or cognate discipline and/or an M.Sc in Computer Science/cognate discipline. Applications will be received until the positions are filled.

 Prospective candidates would be expected to have an interest in several of the following areas: Artificial Intelligence, Multi-Agent Systems, Machine Learning, Data Analytics, IoT systems & Ubiquitous Sensing. Interested parties should send a detailed academic Curriculum Vitae together with a letter of application indicating their interest in research, Trinity College SCSS and CKDelta programme, to Professor Gregory O’Hare Gregory.OHare@tcd.ie with a subject heading 'AI PhD Application'.

Full Details

 

We are seeking a highly motivated candidate for a fully funded postdoctoral researcher
position to work in 3D computer graphics and 3D computer vision.


The successful candidate will join the 3D Graphics and Vision research group led by
Prof. Binh-Son Hua at the School of Computer Science and Statistics, Trinity College
Dublin, Ireland to work on topics related to generative AI in the 3D domain.


The School of Computer Science and Statistics at Trinity College Dublin is a collegiate,
friendly, and research-intensive centre for academic study and research excellence. The
School has been ranked #1 in Ireland, top 25 in Europe, and top 100 Worldwide (QS
Subject Rankings 2018, 2019, 2020, 2021).


The postdoctoral researcher is expected to conduct fundamental research and publish
in top-tier computer vision and computer graphics conferences (CVPR, ECCV, ICCV,
SIGGRAPH) and journals (TPAMI, IJCV). Other responsibilities include supporting
graduate or undergraduate students with technical guidance and engagement in other
research activities such as paper reviews, reading group, workshop organization, etc.


The start date of the position will be as soon as possible. Contract duration is 1 year with
the option of renewing for a second year.


The successful candidate will require the following skills and knowledge:
• PhD in Computer Science or related fields;
• Strong tracked records in 3D computer graphics, 3D computer vision;
• Hands-on experience in training deep models and generative models is required;
• Hands-on experience and relevant skills in computer graphics and computer
vision application development such as OpenGL, OpenCV, CUDA, Blender is
desirable;
• Strong programming skills in C++, Python. Capability in implementing systems
from research papers and open-source software.
• Additional background in math, statistics, or physics is an advantage.

Full Description: Postdoctoral Researcher

We are seeking a highly motivated candidate for a research assistant position to work in 
3D computer graphics and 3D computer vision.

The successful candidate will join the 3D Graphics and Vision research group led by Prof. Binh-Son Hua at the School of Computer Science and Statistics, Trinity College Dublin, Ireland to work on topics related to generative AI in the 3D domain.

The School of Computer Science and Statistics at Trinity College Dublin is a collegiate, friendly, and research intensive centre for academic study and research excellence. The School has been ranked #1 in Ireland, top 25 in Europe, and top 100 Worldwide (QS 
Subject Rankings 2018, 2019, 2020, 2021).

The research assistant is expected to assist the team with fundamental research and engineering problems, supporting publications in top-tier computer vision and computer graphics conferences (CVPR, ECCV, ICCV, SIGGRAPH) and journals (TPAMI, IJCV). Other responsibilities include supporting graduate or undergraduate students with technical implementations and engagement in other research activities such as reading group, workshop organization, etc. 

The start date for the position is flexible, with a preferred start in early 2025. Contract
duration is 1 year with the option of renewing for a second year.

Full Job Description