Research Fellow: Faculty of Nursing and Midwifery

at  RCSI

Department: Faculty of Nursing and Midwifery
Tenure: Part time (21hrs/3 days per week for 48 months fixed term)
Location: 121 St. Stephens Green Dublin 2 (Hybrid working)
Remuneration: SFI point 1-4 starting (€61,318 to €66,815), Depending on Experience
Reporting to: Executive Vice Dean for Research, Professor Mary Lynch
The Faculty of Nursing and Midwifery was established in 1974 and is the longest established provider of higher education to nurses and midwives in Ireland. The Faculty of Nursing and Midwifery hosts the longest running annual international nursing and midwifery education and research conference in Europe, which is now in its 43rd year.

JOB SUMMARY:

The Faculty of Nursing and Midwifery at RCSI is seeking a highly motivated and skilled Postdoctoral Researcher to join our dynamic team. The successful applicant will be the main researcher for NIHR WEATHER project and will be involved in the collection and analysis of data, drafting publications and taking part in knowledge exchange and dissemination activities.
Warning system for Extreme weather events, Awareness Technology for Healthcare, Equitable delivery, and Resilience (WEATHER) Project Aim: Develop an early warning system for extreme weather such as flooding in two vulnerable districts; eThekwini and Ugu districts of KZN province, South Africa. Firstly, the study will assess the relationship between extreme weather and health risk due to contamination of water, and associated disease outbreaks. Secondly, disease predictive modelling will be investigated. Lastly, a warning system to improve communication between affected communities and central healthcare providers will be developed from existing mobile phone platforms combined with predictive technology.
Background: Weather patterns in KZN province are less predictable due to climate change causing significant disruption in communication, severe flood damage, limited access to safe, clean drinking water and infectious disease outbreaks causing deaths. A predictive warning system would assist communities/ health systems to prepare/ manage risk during weather-related flooding.
Impact: Capacity building is vital for research succession and the project integrates two PhD’s: one in health economics as no expertise in this discipline exists in the University of KwaZulu-Natal and one in AI technology. The predictive warning system will deliver value for money, enhancing communication, resource allocation, predict disease outbreaks, improving healthcare service delivery during flooding. Strong local partnerships with academics, clinicians and policymakers within SA will ensure that this research is disseminated widely and transferrable to other regions of the African sub-continent with similar weather events.

• Conduct individual and/or collaborative research producing excellent research outputs to the highest ethical standards in a variety of settings as outlined above.
• Engage in the dissemination of the results of the research in which you are engaged in for relevant research stakeholders in the appropriate form.
• Carry out any administration/management associated with your programme of research.
• Promoting translational research through interaction with the other team members, RCSI staff and Research Institute and other relevant bodies.
• The candidate might be requested to assist with the supervision of graduate students and technical staff.
• Complying with statutory legislation, RCSI and department rules and requirements in furtherance of your own and general staff welfare and safety
• Undergoing programmes of training and development as may be required from time to time
• Representing the best interests of the Department and RCSI at all times
• Performing such other duties as may be required from time to time.