Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an enthusiastic experienced Machine Learning engineer to join an exciting new research project focused on developing algorithms, models, methodologies for developing innovative Aerial and Drone Mapping applications. Sensor technologies include; Optical, LiDAR, Navigation and Radar systems. This research role will involve working with the PI Prof Tim McCarthy together with ML/Geocomputational team based at CS/NCG, to explore and develop new approaches to mapping these real-world environments and novel system solutions based in various Urban, Rural, Harbour, Wilderness and Coastal environments. Machine Learning will play a key role here in helping transform Optical (RGB, Multispectral & Thermal) and LiDAR data into structured semantic data that can be used to re-construct the static and dynamic environment in 3D. This 16-month project will be in partnership with Industry and conducted as part of the ongoing SFI funded LERO Centre programme.
A suitably qualified candidate with an excellent primary degree and ideally post-graduate degree with significant Machine Learning expertise/experience is required to support the data and computational R&D aspects within the Drone Mapping work-programme. The overall aim is to devise innovative Machine Learning (ML) methodologies for mapping various real-world environments including static and dynamic elements. This is an intermediate to senior role where the candidate is expected to take an active leadership role in working with other members of the research team and deal with specific computational/Machine-Learning tasks associated with this project including; setting up work-flow for labelling (automated and semi-automated) Optical and LiDAR data, constructing high-quality training data-sets, investigating and selecting suitable Machine Learning/Deep Learning models, training these models, running predictions and carrying out data quality/verification checks. Examples will include3D re-construction of urban or built environments.
Salary (2022) €41,990 p.a. (1 point with increment)
Appointments will be made in accordance with public sector pay provisions.
23:30hrs (local Irish time) on Sunday, 5th March 2023.
Applications must be submitted by the closing date and time specified above.
Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.
Late applications will not be accepted.
Maynooth University is an equal opportunities employer
The position is subject to the Statutes of the University
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