Location: Trinity College Dublin
Level: PhD

CLOSED

Expected start date: 1 September 2020

Post Summary

An experienced post-doctoral researcher in a relevant HEALTH SCIENCE (e.g. Physiology, Psychology, Neuroscience, Cardiovascular science, Physiotherapy, Biomechanics, Kinesiology, Sports science) is required to conduct and assist research at Trinity College Dublin on a new research programme called FRAILMatics: Mathematical research and big data analytics towards the development of the next generation of transdisciplinary diagnostics for the assessment of physiological vulnerability in older adults: challenge-based disruptive technology initiative. This research programme is funded by Science Foundation Ireland (SFI) under the 2018 President of Ireland Future Research Leaders Programme, awarded to Principal Investigator Prof. Roman Romero-Ortuno. The grant runs from 1 December 2019 to 30 November 2024 (60 Months). The researchers on this grant will be contracted for 4 years (expected start date: 1 September 2020).

Prof. Ortuno is a Clinician Scientist in Geriatric Medicine with skills and international experience in big data analytics and clinical bioinformatics collaborations. Through this SFI award, he will recruit and lead a new transdisciplinary lab of two experienced post-doctoral researchers (one in STEM and one in Health) and two PhD students (one in STEM and one Medical) with the overall objective to advance the science of frailty in older adults. This new lab will be embedded within the state-of-the art research facilities of The Irish Longitudinal Study on Ageing (TILDA) in Trinity College Dublin, and the Mercer’s Institute for Successful Ageing (MISA) in St James’s Hospital, Dublin; in both locations, a new High Performance Computing (HPC) infrastructure will be available to the team which is also funded by the award. FRAILMatics has collaborators at the SFI-funded ADAPT Centre and the Reilly lab at the Trinity Centre for Biomedical Engineering.

The successful postdoctoral HEALTH candidate will lead FRAILMatics’ novel research on the dynamic modelling of frailty in older adults. The postdoctoral HEALTH researcher will work in collaboration with the postdoctoral STEM researcher and report to the Principal Investigator. She/he will also assist the PI with the academic supervision of both doctoral students.

Further Information

Informal enquiries about this post should be made to Prof. Ortuno at romeroor@tcd.ie.

Standard Duties and Responsibilities of the Post

The post holder will be expected to:

  • Conduct research under the direction of the Principal Investigator (Prof. Roman Romero- Ortuno) on FRAILMatics, which is the research grant from which her/his salary will be paid.
  • Lead FRAILMatics’ research on dynamic frailty modelling. The postdoctoral HEALTH fellow will work in collaboration with the postdoctoral STEM researcher and report to the PI. She/he will assist the PI with the academic supervision of both doctoral students.
  • Contribute her/his health expertise to guide the machine/deep learning processes and help interpret their outputs, working in close collaboration with the FRAILMatics’ team.
  • Assist with the management of the datasets and prepare data for machine/deep learning analyses ensuring its reliability and usability in a variety of computer programmes.
  • Collaborate with FRAILMatics’ official collaborators and other researchers as specified by the Principal Investigator.
  • Cooperate with the TILDA management team and abide by operational policies at all times.
  • Prepare progress and technical reports on the research conducted under FRAILMatics.
  • Present findings to interdisciplinary audiences at seminars and conferences.
  • Represent FRAILMatics in discussions at public, technical and scientific fora.
  • Contribute to the organisation and running of the planned FRAILMatics’ small-scale patient engagement and Patient-Public Involvement (PPI) events.
  • Disseminate results to policy makers, healthcare professionals and other stakeholders through various means including research briefs.
  • Seek innovative opportunities for knowledge exchange and dissemination of results.
  • Generate internationally peer-reviewed publications in high-impact scientific journals.
  • Support the Principal Investigator in intellectual property-related matters arising from the research (e.g. Invention Disclosure Forms, Patents).
  • Identify and develop funding applications for any further studies that may be necessary from hypotheses or prototypes developed during the course of the research programme.

Funding Information

  • This research programme is funded by Science Foundation Ireland (SFI) under the 2018 President of Ireland Future Research Leaders Programme, awarded to Principal Investigator Prof. Roman Romero-Ortuno.

Person Specification

Qualifications

  • Candidates must hold a PhD degree in a relevant Health Science (e.g. Physiology, Psychology, Neuroscience, Cardiovascular science, Physiotherapy, Biomechanics, Kinesiology, Sports science).

Knowledge & Experience (Essential & Desirable) Essential

  • Experience working with large cross-sectional and longitudinal datasets.
  • Excellent computing, communication, writing, verbal, and organisational skills.
  • Ability to work independently and effectively as a member of a team.
  • Ability to communicate clearly with specialists from other research disciplines.
  • Proven track record of international peer-reviewed publications.

Desirable

  • Post-PhD professional experience.
  • Experience working in an interdisciplinary team.
  • Experience in a leadership role in a research group or laboratory.
  • Demonstrated capability to exercise independence in research as evidenced by, for example, senior authorship/sole authorship of publications, and invited presentations at conferences.
  • Past attainment of research funding as PI, co-PI or collaborator.
  • Demonstrated capability and interest in teaching, especially to disciplines other than her/his own.
  • Interest in ageing research.

Skills & Competencies Essential

  • Experience in general statistical applications.

Desirable

  • Knowledge of data visualisation methods.

 

Full application details available here