Research Assistant In Applied Machine Learning And Optimization For Shared E-Mobility System
Posted : 25 November 2022
Closes : 14 December 2022
Location : DCU

Research Centre: Insight SFI Research Centre for Data Analytics

Post title: Research Assistant In Applied Machine Learning And Optimization For Shared E-Mobility System

Post Level: Level 1

Post duration: Fixed Term Contract up to 24 months

The Insight SFI Research Centre for Data Analytics ( is an SFI funded Research Centre which brings together researchers from University College Dublin, NUI Galway, University College Cork, and Dublin City University, as well as other partner institutions, Trinity College Dublin (TCD), University of Limerick (UL), Maynooth University (MU) and Tyndall National Institute. It creates a critical mass of more than 400 researchers from Ireland’s leading ICT clusters to carry out research on a new generation of data analytics technologies in a number of key application domain areas, such as Health and Human Performance, Smart Communities, Internet of Things, Enterprise and Services and Sustainability and Operations.
The €150m Centre is funded by Science Foundation Ireland and a wide range of industry and European Union partners. Insight’s research focus encompasses a broad range of data analytics technologies from machine learning, decision analytics and social network analysis to linked data, recommender systems and the sensor web. Together, with more than 220 partner companies, Insight researchers are solving critical challenges in the areas of Connected Health and the Discovery Economy.

The Project
This is a two-year SFI funded project with a key research objective to address large-scale machine learning and optimization challenges in the context of shared e-mobility systems, including shared e-scooters, e-bikes, and e-cars. This project not only aims to investigate how data collected from these shared e-mobility tools can be effectively modelled, but also to provide novel solutions to optimally orchestrate these objects, by means of large-scale applied machine learning algorithms and mathematical optimization methods, to maximise personalised benefits for each commuter in daily lives in the mobility as a service ecosystem. Real world mobility data will be collected and accessed through the Smart DCU programme under the necessary approval and agreements.

The Role
This position is for a research assistant researcher who will be recruited on a fixed term contract basis to be responsible for research design, model, tool and prototype development, performance evaluation and validation of the machine learning systems and the optimization strategies to be developed over the course of the project. A postdoctoral researcher who will also be recruited for the whole cycle of the project will be working closely with the full-time research assistant. Both researchers will collaborate deeply with the PI for the specified research tasks.

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Job description –

DCU Vacancies site – (RF1771)