Postdoctoral Research Fellow - Spatial
analysis and land use
Dublin, Ireland
Description
This position offers an exciting opportunity to be part of a large multi-disciplinary Irish project, with partners in Irish Universities that will research and develop additions and refinements to the Irish forest carbon accounting and reporting tool. This part of the project intends to develop a system of stratifying national area into constituent soil, climate and land use layers. Best available data will be used where appropriate and new layers will be constructed where required. These will be integrated into a redeveloped national reporting system. The advertised role will ensure the interoperability of research inputs into the modelling and reporting system. The successful candidate will play a key role in facilitating collaboration with the National GHG Network for Agriculture and LULUCF.
Duties & Responsibilities specific to this project:
To develop a suite of data products for integration into modelling activities across the project.
To investigate suitability of existing national soil, land use and climate data products for project purposes
To develop methods of integrating existing data and developing derived interpreted products where required.
To collaborate closely with other team members and work packages in establishing their data needs.
To complete additional data development and management duties as they may arise and be assigned by the line manager.
Requirements
PhD in Geography/GIS or equivalent research experience (as determined by Teagasc)**.
Relevant research experience not to exceed 2 years' post-PhD.
Demonstrated research and technical expertise in GIS and spatial analysis.
Detailed working knowledge on the theory and application of GIS and spatial analytical techniques for environmental mapping.
Knowledge of GIS based data integration techniques in developing cartographic output.
Spatial Data Models, including grid, raster, topological, vector.
Data Considerations for Mapping, including source materials, data abstraction (classification, selection and generalization).
Evidence of research activity (publications, conference presentations, awards) and future scholarly output (working papers, research proposals etc).
Excellent project management, analytical, report writing and data analysis skills.
Excellent communication skills (oral, written, presentation) with an ability to enable effective knowledge and technology transfer.
** Equivalent research experience will be determined as 'at least three years post Masters Degree (Level 8/9) (not more than five years) or at least five years post primary Degree (Level 8) (not more than seven years) research experience in a relevant discipline'.
It will be desirable:
Experience in GIS and spatial analytical techniques as applied to research challenges in soil mapping, climate or land-use would be a distinct advantage
Experience on issues surrounding soil, land use and environmental mapping, e.g. scale, applicability, limitations, etc...
Familiarity with enterprise GIS.
Data management in industry standard database software (MS SQL Server & MS Access).
Aptitude for multidisciplinary approaches.
Reporting writing for stakeholders and funding agencies.
Strongly self-motivated and organised approach.
Experience in setting own research agenda.
Evidence of teamwork and collaboration with relevant partners.
More information and applications
