Cross-Sector Incident Learning Research Associate

The University of Manchester; Manchester; On-site; GBP 42,000 - 52,000; Full time

Benefits offered by this job

Generous employer contribution pension

29 days annual leave plus bank holiday

Ride to work and EV car scheme

Job summary

The University of Manchester invites applications for a Research Associate to join an interdisciplinary project exploring how lessons from industrial incidents can be more effectively transferred across sectors. You will conduct cross-sectoral reviews, analyse incident learning mechanisms and design an evidence-based framework for intersectoral learning from incidents.

The successful candidate will hold a PhD (or near completion) in a relevant discipline and bring strong qualitative and

Qualifications

• PhD (or near completion) in a relevant discipline such as safety science, engineering management, risk management, human factors / applied psychology, organisational studies, systems engineering or related fields.
• Proven experience in qualitative research including interview design and thematic analysis with strong proficiency in qualitative data analysis software such as NVivo or ATLAS.ti.
• Experience in using quantitative methods, survey design and analysis, and software packages such as SPSS, Mplus, or R.
• Strong analytical and synthesis skills with the ability to integrate evidence across disciplines and sectors.
• Excellent written and verbal communication skills with experience producing reports and/or academic publications.

Responsibilities

• Conduct a comprehensive cross-sectoral systematic review of literature, grey literature, regulatory reports, and industry guidance related to learning from incidents and accidents.
• Analyse incident reporting, learning, and feedback mechanisms across multiple sectors to identify transferable practices, gaps, and limitations.
• Design and conduct qualitative research including semi-structured interviews with industry practitioners, regulators, and safety professionals.
• Synthesize qualitative and quantitative findings into a structured framework for intersectoral learning from incidents.
• Collaborate with project partners including industry forums, regulators, and professional bodies to ensure outputs are relevant and applicable.

Skills

Qualitative research

Quantitative methods

Literature review

Data analysis

Written communication

Education

PhD (or near completion) in a relevant discipline

Tools

NVivo

ATLAS.ti

SPSS

Mplus

R

Job description

The University of Manchester invites applications for a Research Associate to join an interdisciplinary project exploring how lessons from industrial incidents can be more effectively transferred across sectors. You will conduct cross-sectoral reviews, analyse incident learning mechanisms and design an evidence-based framework for intersectoral learning from incidents.

The successful candidate will hold a PhD (or near completion) in a relevant discipline and bring strong qualitative and