UCD Post-doctoral Research Fellow Level 1
University College Dublin has secured funding under the Department of Enterprise Trade and Employment’s (DETE) Disruptive Technology Innovation Fund (DTIF) to establish a new Earth Observation platform designed for non-specialist users. The CAMEO (Creating an Architecture for Manipulating Earth Observation data) project seeks to democratise access to an ever-increasing volume of Earth Observation data to develop a sustainable internationally trading Earth Observation services sector in Ireland.
CAMEO will provide a new means of accessing international EO/UAV/Land-based sensor data and mechanisms for combining this with national climate, agriculture, and marine databases to unlock real, tangible potential for Irish industry, the public sector, researchers. CAMEO will establish Ireland as an international leader in using EO data for economic and societal benefit.
The members of this project consortium, led by UCD, include Vertice Integration Services Ltd T/A Vertice Cloud, BCC Risk Advisory Ltd T/A Edgescan, The Icon Group Ltd, Treemetrics Ltd, TechWorks Marine Ltd, Dell Technologies.
This is a research-focused role, where you will conduct a specified programme of research supported by research training and development under the supervision and direction of a Principal Investigator.
The primary purpose of the role is to further develop your research skills and competencies, including the processes of publication in peer-reviewed academic publications, the development of funding proposals, the mentorship of graduate students along with the opportunity to develop your skills in research-led teaching.
This position will involve researching data storage solutions to support access to and integration of a range of disparate EO data sources. EO data presents in a variety of formats, consisting of data in various temporal and spatial scales and update frequencies. Many of the datasets fulfil the criteria of big data and are frequently updated. The heterogeneous nature of the input data requires a robust solution to allow data integration and fusion to facilitate timely and efficient data manipulation.
In addition to the Principal Duties and Responsibilities listed below, the successful candidate will also carry out the following duties specific to this project:
Analysing and comparing EO data sets from multiple sources for storage and manipulation requirements.
Application of evidence and research based approaches to EO data storage and integration.
Developing data indexing and discovery solutions.
Deployment on hybrid-cloud infrastructure.
Developing algorithms/models for data ingestion into the storage solution (against several defined and innovative metrics).
Developing algorithms/models for semantic data enrichment where appropriate.
Liaising with stakeholders to define suitable use case demonstrators of EO data.
Competition closes: 24th February 2022
Apply Below (Ref: 014185)