Laureate Data Scientist

Submission Information
Publish Date: 
Tuesday, October 30, 2018
Archive Date: 
Tuesday, January 22, 2019
To event remaining 68 days
Job Summary
Job Category: 
Post-doctoral Positions and Fellowships
Institution Classification/Type: 
Large Academic
Institution/Company: 
Swinburne University
Department Name: 
Centre for Astrophysics and Supercomputing
Street Line 1: 
John Street
City: 
Hawthorn
State/Province: 
VIC
Zip/Postal: 
3122
Country: 
Australia
Announcement
Job Announcement Text: 

A five year data scientist position is available at Swinburne University of Technology to work with Prof. Karl Glazebrook on galaxies in the early (z>4) Universe.
This position is funded as part of Prof. Glazebrook’s Australian Research Council Laureate Fellowship. This is a $4M project whose goal is to understand the formation of the first massive galaxies in the Universe using the forthcoming James Webb Space Telescope (JWST) and supporting ground and space-based surveys. You will be joining a team of up to 9 scientists working on the Laureate project. 

About Swinburne
Swinburne is a progressive university that aims to increase Australia’s capacity in science, technology and innovation as the drivers of modern, internationalised economies and workplaces. Our university is focused on high-impact global research, high-quality teaching and active engagement with both industry and the community. Swinburne houses an active astronomy group, which is one of Australia's largest astronomy centres. Swinburne astronomers have institutional access to W.M. Keck telescopes in Hawaii, and regularly obtain observing time on the AAT, ESO telescopes, HST, Magellan, ATCA and Parkes telescopes. The Centre has OzSTAR, the Australian GPU Supercomputer for Theoretical Astrophysics, available in-house, as well as access to state-of-the-art 3D visualisation facilities.

About the job
We are looking for a suitably qualified candidate to fulfil a 5 year year postdoctoral research position for the purpose of conducting research in collaboration with Prof. Karl Glazebrook. As our Laureate Data Scientist, you will support our team with advanced machine learning and data analysis techniques, with a particular emphasis on the application of modern neural network architectures. Your work will enable the team to develop machine learning pipelines for automated object discovery in deep multi-band images, automated classification and redshift measurement and automated classification of exotic objects.

About you
The position can be at Level A or B depending on prior experience. The appointment will be for 5 years, starting in August 2019, and will be within the Centre for Astrophysics & Supercomputing (CAS). 
To be successful in the role, you will have:

• A PhD in astronomy, astrophysics or computer science (submitted at start of position)

• A strong track record of research as demonstrated by publication

• Experience with machine learning techniques (such as neural networks, random forests, support vector machines)

• Knowledge of astronomical fundamentals (at undergraduate level)

A full list of the selection criteria is available within the position description.

Application process
To view the position description or to start an application click on 'apply' at the bottom of this page and submit a resume, cover letter and response to the Key Selection Criteria, as listed in the Position Description.

Shortlisting for this role will occur in early February 2019, and at that time shortlisted candidates will be asked for a Letter of Recommendation prior to interview. Our anticipated start date for this role will be August 2019.

Applications close at 5pm Wednesday 30th January 2019 (AEST)

Pay Compensation
Salary Min: 
$48434.00 (USD)
Salary Max: 
$68594.00 (USD)
Included Benefits: 

Swinburne values its diverse work environment and is committed to the principles of equal opportunity and cultural diversity. The University has been recognised as a Workplace Employer of Choice for gender equality for the seventh year. Swinburne recognises the importance of providing career development, and offers promotion opportunities for both continuing and fixed-term staff. The University also offers a range of employee benefits including maternity and partner leave, a 17% employer superannuation contribution, 4 weeks’ annual leave and discounted health insurance. Swinburne supports a flexible working environment; subject to visa restrictions, this position is available either full-or part-time.
Swinburne University of Technology is a Child Safe Organisation and as part of this commitment, all appointments are subject to a valid Working with Children Check.
More information: http://www.swinburne.edu.au/about/jobs/why-work-at-swinburne/

 

Application Deadline: 
Wednesday, January 30, 2019
Selection Deadline: 
Friday, February 22, 2019
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
Karl Glazebrook
Title: 
Prof.
Institution/Company: 
Swinburne University
Department Name: 
Centre for Astrophysics and Supercomputing
Street Line 1: 
John Street
City: 
Hawthorn
State/Province: 
VIC
Zip/Postal Code: 
3122
Country: 
Australia
Phone: 
+61392144384
Email: 
kglazebrook@swin.edu.au
Inquiries About Job
Attention To: 
Prof. Karl Glazebrook
Subject: 
Laureate Data Scientist
Email: 
kglazebrook@swin.edu.au