Vacancies

We are seeking to recruit a post-doctoral research fellow to investigate protocols for cooperative behaviour planning that are both reliable and locally consistent and to determine their impact on the performance of safety-critical Cooperative Intelligent Transport Systems (C-ITS) applications under lossy wireless and mixed traffic conditions as part of the Coordinate project within CONNECT - the Science Foundation Ireland Research Centre for Future Networks and Communications. 

Emerging wireless communication technologies and standards offer the promise of ultra-reliable and low-latency (URLL) communication. At the same time, the expected widespread deployment of connected and automated vehicles (CAVs) offers the promise of safer and more efficient vehicular traffic. Delivering this promise will require new road traffic management algorithms that are enabled by and rely on URLL communication. However, notwithstanding the enhanced quality of service expected to be delivered by emerging protocols, novel safety-critical applications will nevertheless be vulnerable to a range of failure modes induced by delay and message loss, even if only at higher percentiles. This has two specific consequences for C-ITS applications. Firstly, they will sometimes need to adopt fail safe behaviours in the presence of communications failures and secondly, and consequently, these applications will potentially suffer impaired performance. Particularly vulnerable are likely to be applications that rely on mutually consistent behaviour, for example, vehicles crossing an intersection or those merging onto a highway.  

The successful candidate is expected to make contributions to the state of the art in URLL vehicular communication supporting coordination and consensus.  

The position will be based in the CONNECT Research Centre at Trinity College Dublin, Ireland under the direction of Prof. Vinny Cahill and Dr. Melanie Bouroche working in close collaboration with colleagues at University College Cork under the direction of Dr Aisling O’ Driscoll.

For informal inquiries please contact vinny.cahill@tcd.ie. 

Full Job Description

Closing Date: 16th September 2024

We are seeking to recruit a post-doctoral 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. 

The increasing availability of sensor data, including from connected and autonomous vehicles, will make it possible to capture the detailed state of a road network in real time. Along with the ability to exercise an increasing level of control over individual vehicles either indirectly, e.g., via urban traffic control or driver guidance systems, or directly, in the case of (semi-) autonomous vehicles, this offers the opportunity to deploy new approaches to traffic management with the explicit goal of optimizing end-to-end travel-time reliability. 

Extending the state of the art in deep RL and swarm intelligence, ClearWay will design algorithms for optimization of urban and highway traffic as a function of the increasing levels of sensor data and increasing levels of control over individual vehicles available. Such algorithms will need to take account of the scale, complexity, and inherent non-stationarity of traffic systems, while adapting to the many transient perturbations that effect traffic flow. The focus is on decentralized and multi-agent algorithms that allow traffic controllers to cooperate towards system-wide optimal solutions. The successful candidate is expected to make contributions to the state of the art in deep RL applied to cyber-physical systems in areas such as multi-agent cooperation, lifelong learning, transfer learning, and explainability.  

The position will be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland under the direction of Prof. Vinny Cahill and Prof. Ivana Dusparic.

For informal inquiries please contact {vinny.cahill, ivana.dusparic}@tcd.ie. 

Full Job Description

Closing Date: 16th September 2024

We are seeking a highly motivated candidate for a fully funded PhD 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 PhD student 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).

The start date of the position is September 01, 2024. The position is fully funded for 4 years by Science Foundation Ireland.

Full Details: PhD 3D Graphics & Vision