Cross-Sector Safety & Incident Learning Research Associate

University of Manchester; Manchester; Hybrid; GBP 42,000 - 54,000; 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 is seeking a Research Associate to join an interdisciplinary project on learning from incidents across high-hazard sectors. You will perform cross-sector reviews, conduct interviews, and help develop a practical framework that translates incident learning into across-sector improvements.

Applicants should have a PhD (or near completion) in a relevant field, strong qualitative methods capability (NVivo/ATLAS.ti), and experience with quantitative analysis tools

Qualifications

• PhD (or near completion) in 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; proficient in qualitative data analysis software such as NVivo or ATLAS.ti.
• Experience using quantitative methods, survey design and analysis; familiarity with SPSS, Mplus or R.
• Strong analytical and synthesis skills to integrate evidence across disciplines and sectors.
• Excellent written and verbal communication skills; experience producing reports/publications.

Responsibilities

• Conduct a cross-sectoral systematic review of literature, grey literature, regulatory reports and industry guidance.
• Analyse incident reporting, learning and feedback mechanisms across sectors to identify transferable practices and gaps.
• Design and conduct qualitative research including semi-structured interviews with industry practitioners and regulators.
• Synthesize findings into a structured, evidence-based intersectoral learning framework.
• Collaborate with project partners to ensure outputs are relevant and applicable.

Skills

Qualitative research

Interview design

Thematic analysis

Written communication

Education

PhD (or near completion) in a safety-related field

Tools

NVivo

ATLAS.ti

SPSS

Mplus

R

Job description

The University of Manchester is seeking a Research Associate to join an interdisciplinary project on learning from incidents across high-hazard sectors. You will perform cross-sector reviews, conduct interviews, and help develop a practical framework that translates incident learning into across-sector improvements.

Applicants should have a PhD (or near completion) in a relevant field, strong qualitative methods capability (NVivo/ATLAS.ti), and experience with quantitative analysis tools