Postdoctoral Research Position with the ACRC
📢 Research Associate in Formal Modelling for Health and Care
📅 Deadline: 24 Jan 2022 10 Jan 2022
📝 Fixed term contract for 30 months
👉 More info and apply here
Come work with Jacques Fleuriot, Jane Hillston and me at the School of Informatics, University of Edinburgh and within the multidisciplinary Advanced Care Research Centre - ACRC (http://edin.care/).
To support meaningful inference and decision making in the context of advanced care delivery for the older person, computer-based models are needed that can capture the vast body of knowledge both around general and specific care pathways and incorporate data from real-time sources such as sensors. In the case of the person in later life, there is a need for contextualisation with respect to both the care recipient and their environment.
One objective of this project is to build computer-based models that enable both the management and analysis of care, while supporting decision making. Process-based models can help map complex sequences of events, such as routines of daily living or care plans and pathways. Models will be constructed and parameterised based on sensor, video and recorded care data (coming from other streams of the New Technologies of Care Programme and the broader ACRC). AI-based workflow analytics and other techniques will be applied to the models to understand the context of and predict adverse events and health outcomes.
Bridging the gap between the high complexity of the care landscape, the individual needs and circumstances of the older person, and the development of computer-based workflows that interface between data and processes in order to drive decision-making will be one of the important goals of this multidisciplinary project.
Your skills and attributes for success
Essential
- PhD in AI or Computer Science.
- Strong expertise in knowledge representation and reasoning, e.g. in areas such as formal methods/modelling, ontologies and/or answer set programming (or similar logic programming formalisms).
- Demonstrable programming experience.
- Ability to work effectively as part of a multidisciplinary team to meet deadlines and to report on project progress.
- Demonstrated high quality of research.
- Ability to communicate complex information clearly, orally and in writing.
Desirable
The following criteria are not yes/no factors, but questions of degree. Recruitment will aim at selecting those candidates with the best possible performance in all these criteria.
- Expertise in stochastic modelling and/or probabilistic reasoning.
- Expertise in applied multi-agent systems, coordination, process management, or workflow automation.
- Experience with analysing large datasets, streaming data and/or AI-based workflow analytics.
- Prior exposure to analysis methods for health and social care data.