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.
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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
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'.
Contract Type: Fixed Term
Contract Duration: 48 Months
Trinity College Dublin (TCD) is Ireland’s leading university (ranked 75th globally by the QS World University Rankings 2026), renowned for excellence in research and teaching. The School of Computer Science and Statistics (SCSS) fosters a vibrant, international, and interdisciplinary research environment at the heart of Dublin city. This PhD position is hosted in SCSS under the supervision of Dr. Van Dinh Nguyen. The candidate will join a dynamic research team working on cutting-edge topics in next-generation mobile networks, distributed AI, and Open RAN architectures.
Project Context
Open Radio Access Networks (Open RAN) are transforming the design and deployment of mobile networks by enabling open interfaces, multi-vendor interoperability, and flexible cloud-native implementations. However, this openness introduces new challenges in terms of scalability, real-time decision-making, and network optimization.
This PhD project will explore distributed machine learning (DML) approaches to address these challenges. The research will focus on developing algorithms and frameworks that enable efficient, scalable, and secure distributed learning across RAN components while ensuring low latency and high reliability. Key directions include, but not limited to:
•Federated and split learning for RAN optimization.
•Resource allocation and scheduling using distributed reinforcement learning.
•Scalability and robustness of AI models in heterogeneous multi-vendor environments.
•Practical evaluation on open-source testbeds (e.g., O-RAN Alliance software stack, srsRAN).
Your Role
The successful candidate will:
•Conduct original research in distributed machine learning for Open RAN.
•Design, implement, and evaluate algorithms on both simulated and experimental testbeds.
•Collaborate with academic and industry partners in the telecommunications and AI domains.
•Disseminate research findings through high-impact journals and conferences.
•Contribute to open-source tools for reproducible research.
Closing Date: 10th October 2025
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.