Postdoctoral Fellow, Optical Sciences Centre

Location
Hawthorn, Australia
Salary
Academic Level A: $71,117 - $95,774 + 17% superannuation
Posted
06 Jul 2022
End of advertisement period
05 Aug 2022
Ref
0873_06/22_RTR
Contract Type
Fixed Term
Hours
Full Time
  • Optical Sciences Centre, Physics and Astronomy Department
  • Full time, 12-months fixed term position at our Hawthorn campus
  • Academic Level A: $71,117 - $95,774 + 17% superannuation

About the Role

As the Postdoctoral Researcher, you will have the opportunity to work on an NHMRC research project focused on machine learning applications which has the potential to provide a framework for biomedical findings in immunology that could lead to new MedTech opportunities.

In this role, you will develop methods for automated tracking and segmentation of fluorescence time lapse microscopy images of T cells. The project will involve improving upon existing in-house software, benchmarking its accuracy against other state-of-the-art methods, making the application interface accessible to non-experts, and documenting the pipeline.

To be successful for this role, you must have received or be close to receiving a PhD and have experience in applying deep learning methods to cell imaging, and will be expected to publish journal articles and present your work at national and international conferences.

About You

To be suitable for this role you will need to have experience in the below key accountabilities:

  • Demonstrated expert knowledge in neural networks and knowledge in T cell biology and imaging.
  • Ability to design and conduct independent research projects within a broader overall team environment, to identify complementary expertise and initiate appropriate collaborations, and to analyse the state of areas of technology from publications and patents.
  • A track record of publications in relevant areas and a demonstration of ongoing research activities within that field.
  • Proven ability to plan and conduct research and to analyse and communicate research outcomes - demonstrated publication record.
  • Demonstrated resourcefulness, initiative and the ability to meet tight deadlines.

Qualifications

  • PhD in machine learning for biological applications

About Swinburne University of Technology

Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship, and proud of it. We are committed to a differentiated university proposition in education and research, so that:

  • Every Swinburne learner gets a work experience
  • Every Swinburne graduate gets a job
  • Every Swinburne partner gets a tech solution
  • Swinburne is the prototype of global best practice

The achievement of our 2025 moon shots depends on our capacity to work collectively, always, as One Swinburne.

To Apply

Please submit your CV and cover letter addressing why you believe you are suitable for this position.

For further information about this role and to review the position description; please click 'apply' or click onto it at the bottom of the advert.

Please Note: Appointment to this position is subject to passing a Working with Children Check.

If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on staffrecruitment@swin.edu.au

Applications Close: Friday, 5th of August 2022 at 5 pm.

Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.

Diversity and Inclusion

Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity and inclusion through key initiatives. For further information on all our initiatives visit our equity and diversity website

We welcome and encourage applicants from diverse backgrounds to apply.

We are committed to making the recruitment process fair and equitable for all our candidates. If you have specific accessibility or support requirements please contact Maree Norden, Diversity & Inclusion Manager at inclusion@swin.edu.au

Aboriginal and Torres Strait Islander

We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

For any support please contact our Aboriginal Employment Coordinator at DeadlyCareers@swin.edu.au or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan

Vaccination Requirements

Orders from Victoria’s Minister for Health require all Swinburne workers to be fully vaccinated against COVID-19, unless they are an Excepted Person as defined by the Pandemic COVID-19 Mandatory Vaccination (Specified Workers) 2021 Order (No. 1). All applicants must therefore be able to comply with this requirement.

We are a 2022 Circle Back Initiative Employer – we commit to respond to every applicant.

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