Postdoctoral Research Associate in Structural Health Monitoring

• Fixed term for 12 months, part-time opportunity (0.7FTE) located on the Camperdown Campus at the School of Civil Engineering
• Collaborate with industry partners and contribute to research in structural health
• Base Salary, Level A, $97,043 p.a. - $107,516 p.a. pro rata + 17% superannuation

About the opportunity

The School of Civil Engineering has a reputation for the quality of its graduates, for the breadth, depth and innovation in its undergraduate curriculum, and for the strength of its research and postgraduate teaching programs. We are currently seeking a postdoctoral research associate in Structural Health Monitoring to work within the Smart Materials and Sustainable Structures (SMS2) research group. The project will produce high performance, low-cost fibre optics and advance their use in health monitoring of infrastructures by carrying out an integrated experimental and field analysis, machine learning modelling and digital twin solution. Outcomes of this novel approach provide a holistic, end-to-end fibre optic structural health monitoring strategy that effectively integrates embedded optical sensors, artificial intelligence and computational modelling for realtime remote monitoring of reinforced concrete bridges. The project is carried out in collaboration with New South Wales Smart Sensing Network (NSSN) and Transport for New South Wales (TfNSW).

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has:

• a PhD (or near completion) in Civil Engineering, Mechanical Engineering, Electronic Engineering, Optics and Photonics or a closely related discipline
• experience in concrete structures and structural health monitoring using fibre optics
• a high level of expertise in experimental design and testing
• a demonstrated commitment and success in delivering high-quality and innovative research
• a high level of oral and communication skills
• a proven ability to interact effectively with students, staff, industry and the community
• experience in conducting original research and/or engaging in scholarly activity
• experience in machine learning modelling and digital twin modelling is highly desirable.

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Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

If you are a current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rebecca Astar or Linden Joseph, Recruitment Operations by email to recruitment.sea@sydney.edu.au.

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Click to view the Position Description for this role.

Applications Close

Thursday 30 March 2023 11:59 PM