Data Scientist

Computation now fundamentally underpins the majority of internationally competitive research across all fields and disciplines. As the demand for computational skills has grown, so too has the need for a dedicated institute that can support the research community.

The Curtin Institute for Computation (CIC) was established to meet this increasing demand for computational

modelling, data analytics, and visualisation. It initiates and fosters collaborative, interdisciplinary research, and education programs with researchers.

Our computational specialists assist in applying computational methods across the sciences, engineering, social sciences, health science, business, and the humanities to provide innovative solutions to complex problems.

The Curtin Institute for Computation has been awarded a grant, as part of a consortium, to further develop the Automated Fish ID (AFID) digital assistant.  AFID uses computer vision and machine learning to automatically identify, measure and label fish from underwater video imagery.  AFID accelerates knowledge and research outputs in fish ecology by reducing bottlenecks and reducing labour in data processing.

We are seeking a detail orientated data scientist to join the AFID team which sits inside the Curtin Institute for Computation. This role will support the AFID project deliver machine learning models capable of assisting fish ecologists to identify, label and measure fish.

• Developing object detection and classification models using a combination of computer vision and deep learning.
• Prepare required data sets for sophisticated statistical analysis, model generation and derivation of insights.
• Identify and use and where required extend suitable technologies, tools and algorithms which can be applied to research/business activities.
• Work with CIC stakeholders to employ analysis techniques and tools that can be utilized by the stakeholders themselves.
• Build credible statistical models from the data and use best coding practices to generate reproducible work.
• Explore and visualise the data to present the ‘story’ of the data in a meaningful way, and to a range of technical and non-technical audiences.
• Assist researchers or business areas to design applications and architect workflows for their research and employ data management best practice.
• Maintain a strong understanding of developments in computer hardware, software systems and algorithms where they apply to data science.
• Using appropriate project management software initiation, planning and coordination of activities for assigned projects.
• Maintain communication with project partners and stakeholders throughout the duration of assigned projects, to ensure regular exchange of project related information and to initiate appropriate action for issues if they arise.

• A postgraduate tertiary qualification (PhD) in a relevant discipline with considerable relevant experience or an equivalent combination of relevant experience and/or education/training.
• Demonstrated analytical and problem-solving skills with the ability to understand and effectively tackle challenging problems.
• Proficiency in data science, statistics, mathematical modelling, and/or optimisation techniques.
• High proficiency and extensive experience with using languages, such as C and/or C++, Python, or R.
• Experience with remote/cloud computing, GPUs processing (Cuda, TensorRT, etc)
• Strong organisational skills with the ability to operate autonomously as well as an effective team member with an ability to work collaboratively in multi- functional teams.
• Outstanding interpersonal and verbal communication skills with the ability to articulate complex, technical concepts to non-technical clients, and the ability to construct clear and concise reports and correspondence.
• Understanding of data science, computational methodologies and data management. Experience with using Atlassian Jira would be an advantage. Experience with SQL and Django/Flask or similar ORM frameworks would be an advantage for the AFID role.
• Strong experience with machine learning, deep learning and computer vision frameworks (Tensorflow, PyTorch, etc) particularly in object detection, recognition, segmentation, and tracking is required for the AFID role.
• Demonstrated experience in data modelling and visualisation would be desirable.

To learn more about this opportunity, please contact Professor Melanie Johnston-Hollitt on [email protected].

Curtin University offers a competitive remuneration and benefits package, a friendly and collaborative work environment, generous leave entitlements, flexible working arrangements, generous superannuation, and salary-packaging. Our vibrant campus also includes an art gallery, gym, childcare, medical centre, and endless food options.

For more information on our university, please visit www.curtin.edu.au 

Your application should include a cover letter, and your CV to allow us to assess your suitability for this role. 

Applicants should note that prior to appointment, you will need to have a current National Police Records check, undergo character, integrity, and reference checks. Please note that this position may be subject to a WA state government vaccination mandate. If requested, you will be required to provide evidence of your vaccination status prior to employment.  

If you have any queries in relation to this application process, please contact our careers team on 08 9266 9000 (option 3,1).

We reserve the right to engage with recruitment agencies/search firms to support our recruitment in some instances – unsolicited contact is not welcomed.