CSIRO Postdoctoral Fellowship in ML/AI: Finding the Unknown in Radio Astronomy Data Sets.

Submission Information
Publish Date: 
Wednesday, May 13, 2020
Archive Date: 
Wednesday, June 10, 2020
To event remaining 3 days
Job Summary
Job Category: 
Post-doctoral Positions and Fellowships
Institution Classification/Type: 
Foreign
Institution/Company: 
CSIRO
Department Name: 
CSIRO Astronomy and Space Science
City: 
Sydney
State/Province: 
NSW
Zip/Postal: 
2122
Country: 
Australia
Announcement
Job Announcement Text: 

CSIRO’s Machine Learning and Artificial Intelligence Future Science Platform is bringing together World-leading experts to explore scientific questions using machine learning techniques. The focus of this position is apply such techniques to identify rare and currently unknown classes of astrophysical objects in Parkes and ASKAP data sets. The EMU survey on ASKAP will be the largest radio survey yet attempted and increase the number of known radio sources from millions to tens of millions. The new receiver systems on Parkes are undertaking new deep and wideband surveys for pulsars and fast radio bursts, which also lead to copious data volumes. As well as hunting for astrophysical sources in these data sets, the postdoctoral fellow will have the opportunity to work on projects ranging across multiple science research areas.

Essential selection criteria include:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as computing, astrophysics or physics. Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
  • A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
  • Solid knowledge of machine learning techniques and proven ability to develop and apply such techniques to complex data sets
  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
  • Knowledge of Python, Julia, C, C++ or equivalent.
Included Benefits: 

CSIRO Astronomy and Space Science (CASS) is committed to building a safe and welcoming workplace culture, and to implementing initiatives to improve diversity and equity within our workplace. CSIRO offers a range of flexible working arrangements to support these initiatives. A discretionary research/travel allowance will be available, together with assistance with relocation and other benefits, including health insurance. We work flexibly at CSIRO, offering a range of options for how, when and where you work (through our 'Balance' programme). Talk to us about how this role could be flexible for you. We offer a vibrant and collaborative work environment. CSIRO actively supports a safe, healthy and enriching working environment for all staff.

Application Deadline: 
Sunday, June 21, 2020
Selection Deadline: 
Sunday, June 21, 2020
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
George Hobbs
Inquiries About Job
Attention To: 
George Hobbs
Subject: 
Postdoc position: ML-AI
Email: 
george.hobbs@csiro.au