Post Summary
We are seeking to recruit a 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.
Application Procedure
Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees (including email addresses), to:
At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all individuals, including those applicants with disabilities, those who may have had non-traditional career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war.
We are ranked 3rd in the world for gender equality (Times Higher Education Impact Rankings 2020) and we hold an Athena SWAN Bronze award, recognising our work to advance gender equality. The University is actively pursuing a Silver level award, which it has committed to achieving by 2025. Trinity is committed to supporting the work-life balance and to creating a family-friendly working environment
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