Australian National University
Apply now Job no: 545931 Work type: Fixed Term Location: Canberra / ACT Categories: Academic
Classification: Level A
Classification : Academic Level A Salary package : $76,271 – $95,732 per annum plus 17% superannuation Term : Full time, Fixed Term appointment (3 years)
Flexible work arrangements and on campus childcare facilities
On campus childcare facilities
Support network and mentoring program for early career academics
The ANU Research School of Astronomy and Astrophysics (RSAA) operates Australia’s largest optical observatory and has access to the world’s largest optical telescopes.
Our staff and students have made major contributions to astronomy, mapping the structure and formation of the Milky Way, discovering planets orbiting other stars, measuring dark matter both within our Galaxy and in the wider Universe, and discovering the accelerating expansion of the Universe.
Our astronomers include winners of the Prime Minister’s Prize for Science and the Nobel Prize.
At our administrative home at the Mount Stromlo Observatory we host the Advanced Instrumentation and Technology Centre which is a national facility established to support the development of the next generation of instruments for astronomy and space science.
Our research telescopes are situated in the ANU Siding Spring Observatory, located in the Warrumbungle region of New South Wales. The observatory began as a field station for the Mount Stromlo Observatory and has since become Australia’s premier optical and infrared observatory, housing the state-of-art SkyMapper telescope.
The Postdoctoral Fellow will join the Astro-Machine-Learning group that specialises in the study of wide range topics (Galactic Archaeology, star formation and cosmology) in big-data astronomy through lens of statistics and machine learning.
To excel in this role you will have:
A PhD (or awarding of a PhD within six months of appointment commencement) in astronomy/computer science, or equivalent qualifications and experience in a related area
Proven ability to conduct high quality research, evidenced by peer- reviewed publications and conference presentation.
Experience that is relevant to research in some or all of the following areas:
astronomy, statistics, and machine learning.
specific research experience in galactic archaeology and cosmology (astronomy), computer vision, and natural language processing (computer science) would be an advantage but is not essential.
Excellent oral and verbal communication skills
The Australian National University is a world-leading institution and provides a range of lifestyle, financial and non-financial rewards and programs to support staff in maintaining a healthy work/life balance whilst encouraging success in reaching their full career potential. For more information, please click here.
To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook.
For more information about the position please contact Associate Professor Yuan-Sen Ting on E:firstname.lastname@example.org.
ANU Values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. People with a disability are encouraged to apply. For more information about staff equity at ANU, click here.
In order to apply for his role, please make sure that you upload the following documents:
A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees. If your CV does not include referees, you can complete these online when prompted in the application form.
A (max 6 pages) statement addressing your research experience and future research plans.
The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
Position Description & Selection Criteria
Advertised: 25 Jul 2022 09:00:00 AM AUS Eastern Standard Time Applications close: 22 Aug 2022 11:55:00 PM AUS Eastern Standard Time