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.
Research Opportunities
Post Summary
We are seeking to recruit two post-doctoral research fellows to investigate novel reinforcement learning (RL) algorithms and their applications in IoT and edge cloud networks, within CONNECT - the Science Foundation Ireland Research Centre for Future Networks and Communications.
Position 1 (IoT networks): This project will investigate the use of multi-agent RL for sensor-scheduling in energy-constrained environments. Developed algorithms will need to be lightweight and are required to run on energy and resource-constrained devices. Algorithms will utilize Age of Information metric to learn appropriate update interval, taking advantage of observed correlation to reduce sensor system energy usage.
Position 2 (edge cloud networks): This project will investigate the use of multi-agent and multi-objective RL for optimisation of resource allocation in edge cloud networks.
The successful candidates are expected to make contributions to the state of the art in RL algorithms and their applications in communication networks.
The positions will be based in the CONNECT Research Centre at Trinity College Dublin, Ireland under the direction of Dr. Ivana Dusparic, working in close collaboration with colleagues at other CONNECT partner Universities. In particular, position 1 will be involved close collaboration with Tyndall Institute, utilizing their renewable energy testbed.
For informal inquiries please contact ivana.dusparic@tcd.ie.
CLOSING DATE: 20th December
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