Research Associate (632296)

Become part of this exciting international multi-disciplinary project to strengthen Search and Rescue (SAR) operations in Inuit Nunangat, northern Canada. An effective SAR system is a vital adaptation tool to help communities cope with Arctic climate change to support safe harvesting activities to address food.

insecurity,

FTE: 1.0  FTE

Term: Fixed until 05/05/2025

Become part of this exciting international multi-disciplinary NERC funded project to strengthen Search and Rescue (SAR) operations in Inuit Nunangat, northern Canada.  Inuit SAR responders face serious challenges in the rapidly changing Arctic environment and have requested the development of more robust prevention methods, capacity building and an investigation into physical and human infrastructure requirements.  An effective SAR system is a vital adaptation tool to help communities cope with Arctic climate change to support safe harvesting activities to address food insecurity, which is essential for economic development and community resilience.

Motivated by this need, this project will co-create a collaborative process capable of surfacing, evolving and strengthening SAR knowledge and support consensual decision-making on improving SAR.  We will seek to support evidence based decision making through creating a quantitative model to assess outcomes under uncertainty for the SAR system founded on traditional Inuit knowledge to support planning and preparation as well as develop an inferential process that enables the SAR system model to support deep thinking that leads to innovation and continuous improvement.

As a Research Associate, you will write up research work for publication, individually or in collaboration with colleagues.  To facilitate evidence-based decision-making at the local, regional, and federal levels, we shall disseminate our research findings to community members and decision-makers. The knowledge mobilisation plan for this project addresses community-level engagement, outreach to government agencies and departments and academic engagement.

You will join external networks to share information and ideas, inform the development of research objectives and to identify potential sources of follow-on funding. You will collaborate with colleagues to ensure that research advances to inform departmental teaching and to engage and deepen relationships with UK stakeholders creating opportunities for impact and other knowledge exchange.   You will get the opportunity to engage in full departmental like, including engaging with students and learning programmes.

To be considered for the role, you will be educated to PhD level in an appropriate discipline, or have significant relevant experience in addition to a relevant degree. You will have sufficient breadth or depth of knowledge in quantitative modelling and a developing ability to conduct individual research work, to disseminate results and to prepare research proposals. You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.

Interviews for this post will be held on 30/08/2024.

Informal enquiries about the post can be directed to Professor John Quigley, j.quigley@strath.ac.uk / 0141 548 3152.

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