Postdoctoral Fellow in Biosignal Processing and Medical Informatics University of New South Wales, Ageing Futures Institute (AFI)

Postdoctoral Fellow – Biosignal Processing and Medical Informatics Job no: 497505 Work type: Fixed term / Full time Location: Sydney, NSW Categories: Post doctoral research fellow The Opportunity The UNSW Ageing Futures Institute (AFI) is a newly formed virtual institute which brings together ageing research expertise across the University. It supports innovative interdisciplinary research and research translation in ageing across several priority areas ranging from aged care, the built environment, cognitive ageing, health economics, technology, and ageing in diverse communities. The Institute operates across faculties and reaches across multiple UNSW campuses including Kensington, Paddington and Canberra. In the role you will report to the Head of School, Scientia Prof Nigel Lovell and will work collaboratively with other postdoctoral fellows in the Graduate School of Biomedical Engineering and within the AFI, developing and applying technological solutions to manage healthy ageing and the burden of chronic disease. The position has no direct reports. Salary: $95,449 - $102,091 (AUD) + superannuation 2-year fixed term contract Full-time position Location: Kensington Campus – Sydney, Australia About UNSW UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. This position is within the Graduate School of Biomedical Engineering. Selection Criteria About the successful applicant: PhD in Biomedical Engineering or Electrical Engineering or Computer Engineering or Data Science or a related area. Discipline expertise and a proven track record in one of more or these areas as they relate to medical and biomedical applications in ageing and/or chronic disease management: biosignal processing, machine and deep learning, data analytics for big health data, pattern recognition and data mining, smartphone and wearable app design, biomedical instrumentation, physiological measurement, biosensor technologies, robotics and control systems. Track record in research with outcomes of high quality and high impact with clear evidence as well as the capacity for research leadership. Experience in interdisciplinary research and knowledge translation, ideally with a track record of significant involvement with the profession and/or industry. High level communication and interpersonal skills Demonstrated ability to work collaboratively and build effective relationships. Willingness to undertake any compliance and supervisor training as required. Knowledge of health and safety responsibilities Additional details about the specific responsibilities for this role can be found in the attached position description below. ATTACH POSITION DESCRIPTION HERE Within your application you should address the selection criteria which are listed within the position description. Pre-employment checks required for this position include qualification verification. Please apply online. Applications will not be accepted if sent to the contact listed below. Contact: Penny Spencer E: penny.spencer@unsw.edu.au T: +61 2 9385 0708 Applications close: 11:50pm, Thursday 26th September 2019 UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply. Position Description Advertised: 28 Aug 2019 AUS Eastern Standard Time Applications close: 26 Sep 2019 AUS Eastern Standard Time If you apply for this position please say you saw it on Computeroxy Apply

Postdoctoral Fellow – Biosignal Processing and Medical Informatics

Job no: 497505
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Post doctoral research fellow

The Opportunity

The UNSW Ageing Futures Institute (AFI) is a newly formed virtual institute which brings together ageing research expertise across the University. It supports innovative interdisciplinary research and research translation in ageing across several priority areas ranging from aged care, the built environment, cognitive ageing, health economics, technology, and ageing in diverse communities. The Institute operates across faculties and reaches across multiple UNSW campuses including Kensington, Paddington and Canberra.

In the role you will report to the Head of School, Scientia Prof Nigel Lovell and will work collaboratively with other postdoctoral fellows in the Graduate School of Biomedical Engineering and within the AFI, developing and applying technological solutions to manage healthy ageing and the burden of chronic disease. The position has no direct reports.

Salary: $95,449 - $102,091 (AUD) + superannuation
2-year fixed term contract
Full-time position
Location: Kensington Campus – Sydney, Australia

About UNSW

UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. This position is within the Graduate School of Biomedical Engineering.

Selection Criteria

About the successful applicant:

PhD in Biomedical Engineering or Electrical Engineering or Computer Engineering or Data Science or a related area.
Discipline expertise and a proven track record in one of more or these areas as they relate to medical and biomedical applications in ageing and/or chronic disease management: biosignal processing, machine and deep learning, data analytics for big health data, pattern recognition and data mining, smartphone and wearable app design, biomedical instrumentation, physiological measurement, biosensor technologies, robotics and control systems.
Track record in research with outcomes of high quality and high impact with clear evidence as well as the capacity for research leadership.
Experience in interdisciplinary research and knowledge translation, ideally with a track record of significant involvement with the profession and/or industry.
High level communication and interpersonal skills
Demonstrated ability to work collaboratively and build effective relationships.
Willingness to undertake any compliance and supervisor training as required.
Knowledge of health and safety responsibilities

Additional details about the specific responsibilities for this role can be found in the attached position description below.

ATTACH POSITION DESCRIPTION HERE

Within your application you should address the selection criteria which are listed within the position description.

Pre-employment checks required for this position include qualification verification.

Please apply online. Applications will not be accepted if sent to the contact listed below.

Contact:

Penny Spencer

E: penny.spencer@unsw.edu.au

T: +61 2 9385 0708

Applications close: 11:50pm, Thursday 26th September 2019

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds.

UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.

Position Description

Advertised: 28 Aug 2019 AUS Eastern Standard Time
Applications close: 26 Sep 2019 AUS Eastern Standard Time

If you apply for this position please say you saw it on Computeroxy

Apply