Research Associate in Cardiac Signal Processing

Location
Adelaide, Australia
Salary
$79,828 - $96,742 p.a.
Posted
07 Oct 2022
End of advertisement period
23 Oct 2022
Ref
JR0000005650
Contract Type
Fixed Term
Hours
Full Time

About Flinders

Our bold vision, captured in our Strategic Plan: making a Difference: The 2025 Agenda, is to be internationally recognised as a world leader in research, an innovator in contemporary education, and the source of Australia’s most enterprising graduates.

To realise this ambition, we recently made a significant organisation change to a six College structure with a professional staff and services alignment.

We recognise the key to our success is exceptional people and we’re seeking an outstanding individual to join the team of our transformed university.

Employment Type:
Fixed Term (Fixed Term)

Position Summary

Availability
Fixed-Term until June 2024 | Full-Time

Compensation Grade
Research Academic Level A

Salary Range
$79,828 - $96,742 p.a.

Reporting to
Research Fellow, Cardiac Signals Analysis Laboratory
College of Medicine and Public Health

The Research Associate will undertake research in Cardiac Signals Analysis under the direction of the Research Fellow in Cardiac Signal Processing. In working with the Research Fellow in Cardiac Signal Processing and research team, the incumbent will assist in leading the design and execution of the research project.

The Cardiac Signals Analysis Laboratory is an internationally recognised centre of excellence in computational analysis of heart rhythm disorders. The Cardiac Signals Analysis Laboratory is located within the College of Medicine and Public Health and is part of the Flinders Health and Medical Research Institute (FHMRI) at Flinders University in South Australia.

Our research program aims to develop personalised treatment approaches for atrial fibrillation. We use a combination of strategies including cardiac signal processing, biophysical computational modelling and machine learning to understand the mechanisms and develop new treatments for atrial fibrillation, which is a complex human arrhythmia characterised by spatiotemporal electrical turbulence in the atrium.

Key Position Responsibilities

The Research Associate in Cardiac Signals analysis is accountable for:

  • Develop and maintain software for the real-time analysis of cardiac electrical biosignals using state of the art technologies in the ECG, intracardiac electrogram analysis domains
  • Conduct advanced signal processing analyses in real-time biosignal applications and deliver these to end users in a graphical user interface
  • Lead efforts in machine learning within the group to predict cardiac arrhythmia outcomes using cardiac biosignal data
  • Contribute to research ethics applications, grant applications and literature reviews in the above area
  • Maintain accurate records of research procedures, and maintain research databases for cardiac data for ongoing research projects
  • Contribute to research data collection, and co-ordination of data collection from partner sites in clinical research studies
  • Contribute to presentations, research reports and/or manuscripts for publication, including preparation of tables and figures using Word and Excel; PowerPoint presentations and preliminary drafting and editing.
  • Provide administrative support for research team members of the Cardiac Signals Analysis Laboratory
  • Any other responsibilities in line with the level of the position as assigned by the Supervisor and/or the University.

Key Position Capabilities

  • PhD awarded (or close to completion) in engineering, computer science, physics or maths
  • Demonstrated emerging research experience in terms of publications and presentations at a national and/or international level in a relevant field.
  • Demonstrated experience in computer programming, especially in relation to either signal processing, computational modelling or machine learning
  • Demonstrated experience in quantitative research methodology.
  • Demonstrated experience with quantitative data analysis.
  • Well-developed organisational skills and the ability to meet competing deadlines.
  • Well-developed writing and communication skills, particularly related to assisting in scientific manuscript preparation or grant writing.
  • Significant experience with modern environments for signal processing or machine learning (e.g. Python, Matlab)
  • Demonstrated Well-developed interpersonal skills including the ability to work in a team environment demonstrating clear communication and mutual respect.
  • Demonstrated ability to use initiative and act independently.
  • Demonstrated Knowledge and experience in adhering to workplace policies and procedures in the areas of work health safety, equity, diversity and promoting a respectful workplace culture.
  • Experience working with medical signal data in real-time applications (desirable).
  • Experience or a background in statistics/data science or machine learning (desirable).

Prescribed Conditions for Employment

  • Flinders University has introduced a COVID-19 Vaccination Policy that requires all new staff members to be up to date with their COVID-19 vaccinations, subject to medical exemptions.

How to Apply

Please review the Key Position Capabilities of the Position Description and submit a Suitability Statement of no more than 3 pages addressing the criteria. Applications without a Suitability Statement may not be considered. For more information, please see our How To Apply page.

For more information regarding this position, please contact Associate Professor Anand Ganesan.

Information for Applicants:

A valid National Police Certificate which is satisfactory to the University will also be required before the successful applicant can commence in this position.

We are seeking to increase the diversity to improve equal opportunity outcomes for employees, and therefore we encourage female applicants, people with a disability and/or from Aboriginal or Torres Strait Islanders descent to apply.

Please note, late applications and applications sent via agencies will not be accepted.

Applications Close 11:59 pm:

23 Oct 2022

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