The starting salary will be from £43,482 on Grade F for Postdoctoral Research Fellow, depending on knowledge, skills and experience.
The Role
Faculty of Environment, Science and Economy
The successful applicant will contribute to the project NATALIE by developing AI algorithms that integrate data from various sources to better understand, predict and control the performance of Nature Based Solutions (NBS) across a range of hydro-climatic events and conditions. A key outcome from the project will be deploying these algorithms to identify feasibility, spatial placement and configuration of NBS and evaluate their performances from a decision support context.
The successful applicant must ensure AI and machine learning technologies are well communicated and robust to ensure data quality and trustworthy application. This data contextualisation will enable small data AI developed by the candidate to apply explainable algorithms to understand physical interrelation and connections between regional impacts and the implementation of the NBS.
The post will be responsible for delivering research outputs in the form of developing new algorithms, analysis of methodological decisions, analysis of NBS and implementation of decision support tools. The candidate will be responsible for internal communication internally across an extensive international project team through weekly reports, technical summaries and meetings, and externally through contributions to conferences and scientific articles.
About you
Applicants will possess a relevant PhD or possess an equivalent qualification/experience in a related field of study. The successful applicant will be a nationally recognised authority in insert subject area and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.
