UNIVERSITY OF SYDNEY

Postdoctoral Research Associate in Computer Science and Biomedical Engineering

Location
Sydney, Australia
Salary
$97K - $107K p.a. + 17% superannuation
Posted
04 Jul 2022
End of advertisement period
01 Aug 2022
Ref
0094047
Contract Type
Fixed Term
Hours
Full Time
  • Full time for 2 years
  • Located on the Darlington Campus at the Faculty of Engineering
  • Base Salary, Level A, $97K - $107K p.a. + 17% superannuation

About the opportunity

The School of Biomedical Engineering and School of Computer Science in the Faculty of Engineering at The University of Sydney has recently established new research areas in water quality modelling and sensing; water safety and treatment; data science, artificial intelligence or machine learning methods to predict and understand water quality parameters. The Faculty of Engineering has also set up the Digital Sciences Initiative (DSI) to undertake research in both fundamental digital sciences and applied digital technologies. Part of the DSI effort is to drive the Water Resources Data Science for Water Safety in the Faculty of Engineering, a joint effort led by the School of Biomedical Engineering in collaboration with the School of Computer Science, and the School of Electrical Engineering.

We are currently seeking to appoint one Postdoctoral Research Associate to work on areas such as computational data science, machine learning, and artificial intelligence in water quality prediction and investigation. The successful applicant will also be part of the Sydney Nano, which is a large and diverse Nano-Institute with research strengths in many areas. In addition, we have a strong applied water sensing group working on various aspects of water science research.

The Postdoctoral Research Associate will:

  • undertake research or scholarly activity contributing to the project's research agenda under the guidance of the lead investigator
  • contribute to grants writing and publications and other project outputs, including a book, journal articles, professional publications, events, and an exhibition
  • contribute to all research tasks, including data collection, interviews, case studies, development of the experimental protocols and supervising research students
  • actively participate in grant writing seminars/workshops to advance the research program in the group
  • work closely with water industry collaborators to provide support on water sensing device development and integration of device for APP development/machine learning

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 computer science, computer engineering, electrical and electronic engineering, applied physics, physics, civil & environmental engineering, or relevant discipline
  • research strengths in at least two of the following areas: computational water, groundwater, hydrogeology, hydrology, and environmental engineering, predictive machine learning/AI in water environments or a similar area, applied computational science in water stress prediction, monitoring, modelling, and management of water quality, and global multi-pollutant modelling of water quality
  • excellent data analysis and presentation experience
  • experience in publishing in top-tier journals/conferences and research grants writing
  • excellent computer programming or software development skills
  • demonstrated ability to conduct research/scholarly activities under limited supervision and as part of a multidisciplinary research team
  • good communication skills (both written and oral).

Applicants who demonstrate the following desirable criteria will be highly regarded:

  • experience with monitoring, modeling, and management of water quality
  • or experience with machine learning/AI in water sensors/devices/hydrogeology
  • or experience with global multi-pollutant modeling of water quality
  • ability to assist researchers from other disciplines as well as work with PhD students within the water sensing research group
  • good organisational and administrative skills with attention to detail
  • comprehensive experience of common online computational software and databases
  • strong general IT skills, including familiarity with Linux/Unix environments and HPC server.

To apply for this position, please prepare the following and attach to your application:

A one page (A4) proposal with your 2 year plan to develop computational/AI models for water resource monitoring and predictions, including any existing data resources, methods and aimed outcomes.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

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 Linden Joseph or Rebecca Astar, Recruitment Operations, Human Resources on recruitment.sea@sydney.edu.au.

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The University reserves the right not to proceed with any appointment

Applications Close

Monday 01 August 2022 11:59 PM

How to apply

Please click here to apply