[agents] Postdoctoral Fellow in Reinforcement Learning for Intelligent Mobility - Trinity College Dublin

[Ivana Dusparic]

Trinity College Dublin, Ireland

Postdoctoral Fellow in Reinforcement Learning for Intelligent Mobility

https://www.scss.tcd.ie/Ivana.Dusparic/documents/2022ClearWayResearchFellow.pdf 


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A Postdoctoral Fellow position is available to investigate the use of 
deep reinforcement learning (RL) and swarm intelligence techniques to 
optimize travel-time reliability in the presence of autonomous and 
conventional vehicles within the ClearWay project at Distributed Systems 
Group in Trinity College Dublin.

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 successful candidate must have a PhD in Computer Science, Computer 
Engineering, Electronic Engineering, or a related field. The post is 
applicable to both new and experienced PhD holders, and salary will be 
commensurate with experience and achievement. The successful candidate 
will join an inter-disciplinary team of highly-skilled and innovative 
researchers in the areas of RL and intelligent mobility, and work under 
the direction of Prof. Vinny Cahill and Prof. Ivana Dusparic.

Please send applications by email to vinny.cahill at tcd.ie and 
ivana.dusparic at tcd.ie quoting “ClearWay Fellowship” in the subject line 
and including a cover letter, curriculum vitae (giving full details of 
qualifications and experience, including transcripts of degrees, a 
description of your contribution to relevant project work, 
identification of your three most-significant publications relevant to 
the ClearWay project, and the names of two referees) and 1-2 page 
research proposal, in PDF format.

For further details of the post please see 
https://www.scss.tcd.ie/Ivana.Dusparic/documents/2022ClearWayResearchFellow.pdf 
or jobs.tcd.ie.

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

Deadline for applications is December 16th 2022.

-- 
Dr. Ivana Dusparic (she/her)

Associate Professor, Trinity College Dublin
Director of Postgraduate Teaching and Learning (School of Computer Science and Statistics)
Co-director SFI Centre for Research Training in AI (CRT AI) https://www.crt-ai.ie/
FI @ CONNECT https://connectcentre.ie/

https://www.scss.tcd.ie/Ivana.Dusparic/
+353 1 896 3466

I often work unconventional hours and might send email outside 9am-5pm Monday to Friday - please do not feel obliged to reply until it is convenient to you within your own working hours.