Research Assistant in AI-assisted Resilience (ARGOS)
We are looking for a high-quality research assistant to explore the applicability of AI techniques for design and development of resilience governance systems in the context of the ARGOS project. The main focus will be on social aspects, questionnaire design, and survey analysis. This is a 3 months part-time position in the first instance with the possibility to extend.
Survey Design and Analysis
The research assistant will design and distribute questionnaires among a network of resilience experts and AI developers and perform survey research and detailed analysis on gathered questionnaire responses. In addition, it is expected that the research assistant supports the process of analysing the literature on AI-based techniques for resilience governance.
It is essential to have a BSc, BA or equivalent professional qualifications and experience in relevant field within Social Science, Sociology, Social Statistics, Environmental Science, and Policy Studies. The candidate is expected to make effective use of questionnaire design and distribution tools and to apply a comprehensive understanding of relevant survey research techniques and an awareness of activities in the broader work area. The survey analysis is expected to give insights on:
Barriers in applying AI techniques for resilience governance.
The level of awareness of resilience governance experts about AI-based methods.
The implementability of AI methods for resilience governance.
Applications for the Research Assistant position will be considered from candidates who finished a relevant BSc/BA/MEng/MSc qualification (as a research internship opportunity) or working towards a relevant PhD qualification.
For questions and expression of interest, please contact dr. Vahid Yazdanpanah by emailing v.yazdanpanah@soton.ac.uk