Lecturer/Senior Lecturer in Biosignal Processing and Health Informatics

Location
Sydney, Australia
Posted
08 Oct 2019
End of advertisement period
31 Oct 2019
Ref
497995
Contract Type
Fixed Term
Hours
Full Time

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.

The Opportunity

The Graduate School of Biomedical Engineering (GSBmE) is internationally recognised for its contributions to medical device technologies by dedicated researchers who conduct world class research in medical engineering and science, as well as its educators who offer a high-quality learning experience. The vision of GSBmE is to provide the best research and teaching outcomes relevant to the development of applications in the human health sector to help in the diagnosis, treatment and quality of life of Australians with life-threatening or debilitating diseases and conditions.

GSBmE are seeking a Lecturer/Senior Lecturer to conduct independent research and deliver excellent teaching in the area of Biosignal Processing, Machine Learning and Data Analytics to support the School’s research and teaching strengths in Connected Health, Big Data Analytics in Health, and Biosignal Interpretation and Classification. In the role you will report to the Head of School, Scientia Prof Nigel Lovell and has no direct reports.

A successful Level B or C candidate will also be considered for nomination for a UNSW Scientia Fellowship.

About UNSW Scientia Fellowships

The UNSW Scientia Fellowship Program is one of the cornerstones of UNSW’s 2025 Strategy. A primary goal of the Program is to enhance UNSW's research performance by attracting and retaining exceptional early to mid-career researchers, with outstanding research track records. Scientia Fellows will be leaders in their School and Faculty and engage with the three pillars of social engagement, global impact and academic excellence.

UNSW Scientia Fellows have access to a range of development opportunities including career coaching tailored to their level of experience across research, teaching and leadership. Fellows will be mentored and will also develop the skills required to become mentors and research leaders themselves.

Appointments are made on a Convertible Tenure Track contract. The initial engagement is for 4 years fixed term with the possibility to convert to continuing tenure. The program also allows flexibility to take research breaks to do other study, take an industry engagement or follow other interests. We are also open to part time appointments.

Find out more at www. www.scientia.unsw.edu.au/scientia-fellowships

  • Lecturer (Level B): $107,210 + 17% Superannuation
  • Senior Lecturer (Level C): $130,216 - $149,394 +17% Superannuation
  • 5 year convertible track tenure
  • Full-time position (35 hour week)

About the successful applicant:

Lecturer (Level B)

  • PhD in Biomedical Engineering or Electrical Engineering or Computer Engineering or Data Sciences 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: biosignal processing, biomedical and health informatics, 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.
  • Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
  • Demonstrated ability and willingness to deliver high quality and innovative teaching and student experience to both undergraduate and postgraduate students.
  • A track record of significant involvement with the profession and/or industry.
  • High level communication skills and ability to network effectively and interact with a diverse range of students and staff.

Senior Lecturer (Level C)

  • PhD in Biomedical Engineering or Electrical Engineering or Computer Engineering or Data Sciences 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: biosignal processing, biomedical and health informatics, 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.
  • Demonstrated track record in research with outcomes of high quality and high international impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
  • Demonstrated ability and willingness to deliver high quality and innovative teaching and student experience to both undergraduate and postgraduate students.
  • Experience in successfully recruiting and supervising high calibre students.
  • Demonstrated ability to interact with the profession and industry.

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

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

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

Contact: 

Penny Spencer
Talent Acquisition Consultant
E: penny.spencer@unsw.edu.au

Applications close:31 October 2019 - 11:30 PM

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.

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