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This Job is based in Australia
Research Associate in Data Science and AI, UNSW Canberra
Employment type: Fixed-term, full-time
Duration: Up to 24 months
Remuneration: Level A, Step 6 $110,059 plus 17% super
Location: UNSW Canberra, ADFA Campus
About UNSW Canberra
University of New South Wales (UNSW) in Canberra has multiple locations in the Nation’s Capital.
UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours. This combined approach is integral to the university's impact and contributes to its recognition as one of the top 20 universities globally, as well as a proud member of Australia's esteemed Group of Eight. Choosing a career at UNSW means embracing an environment where thriving, facing challenges, and engaging in meaningful work are not just encouraged but integral to the university experience. If you seek a career where you can excel and contribute meaningfully, you've found the right place.
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
Why Your Role Matters
Defence Trailblazer Program is an exciting partnership with industry and is strengthening Australia’s defence capabilities and assets. The position will involve research activity in multidisciplinary settings requiring knowledge and skills in conducting aviation research, focusing on the use of Uncrewed Aerial Systems (UAS) and Artificial Intelligence (AI). The Research Associate will contribute to conducting research activities, provide summary of results, and undertake a range of research administrative duties.
Who You Are (skills And Experience)
UNSW is committed to helping staff balance work-life responsibilities, by providing access to high-quality services, facilities, and flexible work and leave arrangements.
The successful candidate will be required to undertake pre-employment checks prior to commencement in this role. The checks that will be undertaken are listed in the Position Description. You will not be required to provide any further documentation or information regarding the checks until directly requested by UNSW.
To be successful you will hold Australian Working Rights. UNSW is unable to offer visa sponsorship for this position.
The University reserves the right not to proceed with any appointment.
How To Apply
Make each day matter with a meaningful career at UNSW. Please apply via our online recruitment system.
In Your Application, Please Include
Applications close: Friday 31st January 2025 at 11.30pm AEST
Get in Touch
To discuss the position please contact: [email protected]
Queries regarding applications - please contact: [email protected]
(for job related queries only – applications will not be accepted if sent to the contact listed)
Find out more about the lifestyle and benefits when working with UNSW
For further information about UNSW Canberra, please visit: UNSW Canberra
For further information on living in Canberra, please visit: Living in Canberra
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
Research Associate in Data Science and AI, UNSW Canberra
Employment type: Fixed-term, full-time
Duration: Up to 24 months
Remuneration: Level A, Step 6 $110,059 plus 17% super
Location: UNSW Canberra, ADFA Campus
About UNSW Canberra
University of New South Wales (UNSW) in Canberra has multiple locations in the Nation’s Capital.
UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours. This combined approach is integral to the university's impact and contributes to its recognition as one of the top 20 universities globally, as well as a proud member of Australia's esteemed Group of Eight. Choosing a career at UNSW means embracing an environment where thriving, facing challenges, and engaging in meaningful work are not just encouraged but integral to the university experience. If you seek a career where you can excel and contribute meaningfully, you've found the right place.
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
Why Your Role Matters
Defence Trailblazer Program is an exciting partnership with industry and is strengthening Australia’s defence capabilities and assets. The position will involve research activity in multidisciplinary settings requiring knowledge and skills in conducting aviation research, focusing on the use of Uncrewed Aerial Systems (UAS) and Artificial Intelligence (AI). The Research Associate will contribute to conducting research activities, provide summary of results, and undertake a range of research administrative duties.
Who You Are (skills And Experience)
- A PhD in Data Science, Artificial Intelligence/ Machine Learning
- Application of previous research in the fields of Aviation, Human Factors, or related discipline, and/or relevant work experience is preferred
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students
UNSW is committed to helping staff balance work-life responsibilities, by providing access to high-quality services, facilities, and flexible work and leave arrangements.
- Generous superannuation contributions
- Employee discounts
- Flexible 17% superannuation contributions, additional leave-loading payments and salary sacrifice
- Additional three days leave during December festive period
- A commitment to lifelong learning
- UNSW-wide strategy to focus on Healthy Body, Healthy Mind, Healthy Places and Healthy Culture.
The successful candidate will be required to undertake pre-employment checks prior to commencement in this role. The checks that will be undertaken are listed in the Position Description. You will not be required to provide any further documentation or information regarding the checks until directly requested by UNSW.
To be successful you will hold Australian Working Rights. UNSW is unable to offer visa sponsorship for this position.
The University reserves the right not to proceed with any appointment.
How To Apply
Make each day matter with a meaningful career at UNSW. Please apply via our online recruitment system.
In Your Application, Please Include
- your CV
- a 2-page cover letter addressing the skills and experience outlined in the Position Description.
Applications close: Friday 31st January 2025 at 11.30pm AEST
Get in Touch
To discuss the position please contact: [email protected]
Queries regarding applications - please contact: [email protected]
(for job related queries only – applications will not be accepted if sent to the contact listed)
Find out more about the lifestyle and benefits when working with UNSW
For further information about UNSW Canberra, please visit: UNSW Canberra
For further information on living in Canberra, please visit: Living in Canberra
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
Key Skills
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artificial intelligence
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machine learning
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- Posted
- Dec 13, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Zurich
- Company
- UNSW
Industries
Higher Education
Research Services
Categories
Engineering
Information Technology
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