The impact of resuscitation factors on out-of-hospital cardiac arrest outcomes

Expressions of Interest for a PhD Scholarship with the Monash University Department of Paramedicine in collaboration with Ambulance Victoria An opportunity is open to a suitable applicant to conduct a fully funded full time PhD within Monash University’s Department of Paramedicine in collaboration with Ambulance Victoria. The successful applicant will use data from the Victorian Ambulance Cardiac Arrest Registry (VACAR) to study the association between resuscitation performance, defibrillation factors and paramedic debrief on patient outcomes. VACAR collects data on all Victorian patients who suffer an out-of-hospital cardiac arrest and is attended by Ambulance Victoria. The registry contains over 107,000 patient episodes and supports a large research program. The successful applicant would possess post-graduate qualifications in either paramedicine, public health, health services research or epidemiology. We are looking for someone who has a strong academic track- record and/ or who ideally already has a number of publications. The applicant must possess strong quantitative research skills. The applicant is expected to be located predominantly at Ambulance Victoria’s Blackburn North Office. What we offer. The applicant will have access to a unique and internationally recognised cardiac arrest registry in addition to a rich pre-hospital dataset. Supervisors include internationally renowned Pre-hospital researchers (Prof Karen Smith, Dr Ziad Nehme and Dr Jocasta Ball). The applicant will be supported through Monash Department of Paramedicine and by the Ambulance Victoria Centre for Research and Evaluation. PHD output is highly likely to be translated into policy and practice. Eligibility details - You must have: • Available only to Aust and NZ citizens or Permanent Residents • A First Class or High Second Class Masters or Honours degree, ideally in a health-related field (e.g. paramedicine, nursing, public health, epidemiology, etc.) • Evidence of research experience • An understanding of research methodology and data analysis • Well-developed computer skills.