Company

UtsSee more

addressAddressSydney, NSW
type Form of workFull time
CategoryScientific

Job description

The Data Science Institute (DSI) is a collaborative impact-focused data science group delivering change for both industry and the wider community. The Institute delivers integrated applied research, linking preliminary data analytics, data engineering and innovative data science. We deliver practical, innovative solutions to solve real-world challenges.

We were among the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to addressing gender equity in STEMM disciplines. The UTS Women in Engineering & IT program, fosters a network of passionate people who are actively involved in the development of our next generation of young Engineering and IT professionals.

About the role

The UTS Data Science Institute invites applications for a Postdoctoral Research Fellow with advanced expertise in AI Frameworks for Time Series Models and Feature Engineering tailored to specific projects. This role demands a candidate with a robust capability to independently develop and refine both supervised and unsupervised predictive models and algorithms. The successful applicant will work in close synergy with our Data Science team and industry collaborators, ensuring the fulfillment of project objectives.

Key responsibilities include initiating and sustaining research collaborations, generating high-quality research and publications, and fostering meaningful connections with professional, government, and industry entities, showcasing a high level of competence and expertise in the field.

About you

As a Postdoctoral Research Fellow, you will bring a strong foundation in research project delivery, with a focus on data mining, data analysis, machine learning, and a preference for remote sensing experience. This position demands proficiency in these areas, as you will be tasked with delivering impactful research in collaboration with both industry and academic partners in a dynamic environment. Your success in this role will be underpinned by your:

  • PhD in Computer Science or a related field
  • Capacity to mentor PhD candidates
  • Proficiency in both qualitative and quantitative research methodologies
  • Additionally, your excellent interpersonal skills will enable effective collaboration and contribute to the achievement of research objectives.

Base Salary Range: $119,475 to $141,405 pa (Level B)

This role attracts 17% superannuation (pension) in addition to the base salary.

This position is full-time and appointment will be made on a 2 -year fixed-term basis.

UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.

How To Apply

Please click the Apply link to be taken to the UTS website. Here you can download:

  • full details of the application process;
  • a copy of the position statement; and
  • information on remuneration, benefits, terms and conditions.

Please use reference number IRC273740 in all correspondence

General enquiries or issues with your application may be directed to Marie Hetherington in the UTS Recruitment Team at ***********@uts.edu.au.

Closing Date: Monday, 6th May 2024 at 11.59pm (AEST)

Applicants must have valid Australian work rights

Accessibility

UTS Recruitment care about digital accessibility. If there is any content in our advertising that you have struggled with, please make us aware so that we can make our information accessible to all.

In addition, if you have a disability that requires adjustment to the recruitment process or an alternative application pathway please contact ***********@uts.edu.au for assistance.

UTS is recognised widely as supporting inclusivity and diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework and UTS Access and Inclusion Plan

We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.

Refer code: 2043684. Uts - The previous day - 2024-04-18 00:58

Uts

Sydney, NSW
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