Science Foundation Ireland

Vacancies

 
CONNECT's team is distributed across ten Irish universities. This page lists our open positions. Speculative CVs/Résumés are welcome. Please email GraduateStudies@connectcentre.ie  
Two postdoctoral research fellow positions in Reinforcement Learning algorithms in Future Networks in Trinity College Dublin 

Two postdoctoral research fellow positions in Reinforcement Learning algorithms in Future Networks in Trinity College Dublin

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.

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 involve close collaboration with Tyndall Institute, utilizing their renewable energy testbed.

For informal inquiries please contact ivana.dusparic@tcd.ie

For full details and how to apply see
PhD Position 

PhD Position

Research Topic: Sustainable Computing at Edge-Cloud Continuum

Our interdisciplinary study addresses the rising data processing demands in multi-cloud and edge computing. Dive into computer networks, distributed systems, and machine learning as we optimize resource utilization and workloads across edge servers, multi-cloud infrastructures, and IoT devices. Achieve energy efficiency, reduced carbon footprint, and enhanced sustainability by leveraging dynamic workload allocation, energy-aware scheduling, and resource management.

 

Supervisor: Dr. Hadi Tabatabaee Malazi (UCD School of Computer Science)

Close Date: Until the position is filled.

Find out more
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