SPRISK is hiring a PhD Candidate
PhD Fellow in “Leveraging Machine Learning and Historical AIS Data to Support Marine Icing Risk-Informed Decisions in the Arctic Waters”
The Department of Technology and Safety (ITS) at UiT the Arctic University of Norway has a three-year PhD position in “Leveraging Machine Learning and Historical AIS Data to Support Marine Icing Risk-Informed Decisions in the Arctic Waters” vacant for applicants who wish to obtain the degree of PhD. The position is affiliated with the “Risk, Crisis, and Societal Security” research group. The PhD Candidate will also have close collaboration with the Laboratory of Signal and Risk Analysis (LASAR) at the Department of Energy at the Politecnico di Milano, Italy.
The main goal of this PhD project is to use machine learning (ML) tools in order to leverage historical AIS data to develop a risk-informed decision-making framework. The framework also incorporates meteorological and oceanographic parameters, spray icing estimations, Arctic offshore harsh weather conditions, and field knowledge.
To this aim, this project:
- explores computational intelligence methods and develops AI-based models for studying and predicting vessel behaviour using AIS data and then detect vessel behaviour anomalies with respect to metrological and oceanographic conditions.
- integrates the identified vessel behaviours at corresponding time junctures with the rate and severity of icing events estimated by utilising existing spray icing models (e.g., MINCOG developed jointly by the Norwegian Meteorological Institute and UiT), and existing operational knowledge in order to propose decision sequences given various icing event scenarios.
- finally proposes a decision-making framework informed by the risks of harsh weather conditions and icing events for navigating in Arctic waters.
Read more about the announcement and application procedure here. Application deadline is 16 October 2022.