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February

Research Fellow – Signal Processing And Artificial Intelligence In Healthcare

Monash University - Clayton, VIC

Education, Childcare & Training
Source: uWorkin

JOB DESCRIPTION

Research Fellow – Signal Processing and Artificial intelligence in Healthcare

Job No.: 612495

Location: Clayton campus

Employment Type: Full-time

Duration: 12-month fixed-term appointment

Remuneration: $69,401 - $94,190 pa Level A (plus 9.5% employer superannuation)


$99,147 - $117,738 pa Level B (plus 9.5% employer superannuation)

  • Utilise your analysis skills to contribute in various research projects
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

Monash University strongly advocates diversity & inclusion, equality, fairness and openness . We fully support the gender equity principles of the Athena SWAN Charter and invite you to join us in celebrating women in STEMM .

The Opportunity

We have an exciting opportunity to be a part of our research team in the Biomedical Signal Processing Research Lab , within the Department of Electrical and Computer Systems Engineering . Our research focuses on biomedical signal processing, data science and AI in healthcare, particularly applications of advanced signal and image processing, machine learning and physiological modelling to develop affordable and reliable healthcare technologies.

The Research Fellow is expected to make significant contributions to the research effort of the lab and strategic research objectives of the department. Our team is made up of vibrant researchers, undergraduate and postgraduate students, interns and research assistants.

To be successful in this role, you will have a:
  • Background in methodical work in data science and AI, signal and image processing, including probiomedical, audio or acoustic signal processing with grounding and connections in traditional EE areas (IE, statistical signal processing, speech processing)
  • Strong programming skills
  • Relevant qualification in biomedical, electronic or software engineering or computer science
  • Understanding or interest or knowledge in medical devices and mobile-health systems
  • Positive attitude, team-working skills, excellent written communication and verbal communication skills

What’s on offer?

You get to work with a team of supportive and experienced researchers. We have an amazing research lab with state-of-the-art equipment and resources that will help you develop your career on the right path. We value diversity and inclusion, we encourage applications from a diverse background.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.

Your application: Depending on your experience and expertise, we will consider you for Level A or Level B role. Please specify in your cover letter the level you are interested in applying for.

Your application must address the selection criteria. For more instructions on how to apply, please refer to “ How to apply for Monash Jobs ”.

Enquiries

Dr Faezeh Marzbanrad, faezeh.marzbanrad@monash.edu , +61 3 9905 1893

Closing Date

Thursday 4 March 2021, 11:55 pm AEDT

Supporting a diverse workforce

For instructions on how to apply, click on the "Apply" button above for the full position description and instructions on how to apply for Monash jobs.

Clayton, VIC

Education, Childcare & Training




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