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.
/filters:format(webp)/filters:quality(100)/prod01/channel_3/media/tcd/scss/images/vacancies.jpg)
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.
PhD Opportunities
Conditions of the Award
The conditions are listed on the TCD website: https://www.tcd.ie/graduatestudies/awards/trda-school-based/
- Open only to new entrants to the full-time research doctorate register (EU and non EU).
- The holders must engage in full-time research and must register for a research doctorate degree at Trinity College, the University of Dublin.
- Continuation on the research register is dependent on evidence of satisfactory annual progress and successful completion of the confirmation process at 18 months after first registration.
- Both the doctorate researcher and supervisor will agree to participate in the pilot rollout of Trinity’s Supervisor: Research Student Agreement.
- Postgraduate Research Doctorate Awards cannot continue beyond a fourth year on the full-time research doctorate register and cannot be split across doctorate researchers.
- Decision on allocation of the award rests with the School.
Stipend details
The award includes a stipend of €25,000 p.a. and fees write-down (EU or non-EU) for the four years (full-time) of a Structured PhD programme / research doctorate.
Application criteria
The award is expected to be very competitive, therefore the minimum requirement is a 2.1 honors (or equivalent) undergraduate degree and a distinction (or equivalent) MSc degree. Candidates without an MSc or a lower grade degree will not be considered.
Application process
All application materials should be submitted by the prospective supervisor, no later than Friday 29th May, with the subject line “School-based Trinity Doctoral Research Award” to SCSS DTLP at gavin.doherty@tcd.ie, HoS at headscss@tcd.ie and Natasha Blanchfield at Natasha.Blanchfield@tcd.ie.
Late or incomplete applications will not be considered.
Applications should contain the following in pdf format:
Provided by the candidate:
1. Cover letter
2. CV
3. Undergraduate and postgraduate transcripts
4. Proof of English language qualifications, if required (according to English language requirements on https://www.tcd.ie/study/apply/admission-requirements/postgraduate/index.php)
5. 2 academic reference letters
6. 2 page research proposal, to also address how does the proposed research fit within SCSS research themes and proposed supervisor’s interests
Post Summary
PhD-2: Advanced Computational Models and Digital Tools for Immersive Storytelling
Group project title: From Silence to Story: Revisiting TCD's Long Room through Acoustics and Immersive Storytelling
Core Principal investigators: Gareth W. Young (Computer Science), Nicole Basaraba (Digital Humanities), Jennifer O’Meara (Film Studies), and Nils Peters (Engineering).
Supporting Principal Investigators: Fionnuala Conway, John Kennedy, and Francis Boland.
Funding provided by: Trinity Research Doctorate Award (Group) 2026.
About the group project:
The renovation and public closure of Trinity College Dublin’s (TCD) Long Room of the Old Library present an unparalleled opportunity to conduct pioneering research "on," “through,” and "for" this iconic space. This initiative will redefine how we preserve and enhance one of Europe’s premier cultural heritage landmarks. This project will delve into aspects of the Long Room that have been largely overlooked: its acoustic experiences and sonic architecture. It will use state-of-the-art robot-aided acoustic measurements and employ advanced computational and acoustic modeling techniques to create a versatile Acoustic Digital Twin, which will be combined with existing 3D image data.
Closing Date: Midnight (GMT), [29 June 2026].
Research Opportunities
Salary: up to point 6 on the Level 2A Research Ireland New Post Doctoral Researcher June 2026
-- €53,925 (plus employer PRSI and pension contributions)
Start date: September 1st 2026
Duration: Specific Purpose Contract (estimated duration 18 months)
Where: School of Computer Science and Statistics and School of Pharmacy and Pharmaceutical
Sciences, Trinity College Dublin (TCD), Ireland.
Post Summary
The successful applicant will collaborate within a skilled and motivated team of scientists
dedicated to the development of Artificial Intelligence (AI) methods for process optimisation
of manufacturing parameters in pharmaceutical manufacturing.
Roller compaction is a dry granulation process widely used in pharmaceutical manufacturing
to improve powder flowability, bulk density, and content uniformity while avoiding the use
of solvents and drying steps. In this process, a powder blend is continuously fed between two
counter-rotating rollers, where it is compressed into a dense ribbon or sheet. The compacted
ribbon is subsequently milled to produce granules with desired size and flow characteristics
for downstream processing such as tableting or capsule filling. The project aims to optimise
the roller compactor process parameters for different material property inputs in order to
achieve the desired ribbon quality metrics using AI-based optimisation.
The postdoc will conduct research that contributes to three of the following streams of work
1) define “user needs, goals, procedures” for AI-based process optimisation (in particular
focusing on Bayesian Optimisation (BO)) of the roller compactor process parameters; 2)
implement BO-based strategies and software tools to be able to apply these methods to the
process optimisation of the the roller compactor process parameters (using GPytorch,
BOtorch); 3) test and evaluate the solution on a real manufacturing process.
The position will be under the direction of Assoc. Prof. Alessio Benavoli, Prof. Anne Marie
Healy and Assoc. Prof. Deirdre D’Arcy from TCD and a pharmaceutical industry partner.
Closing Date: 30th June 2026
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