The University of Technology Sydney (UTS) has a bold vision to be a world-leading university of technology. We are a dynamic and innovative university, ranked by the Times Higher Education as Australia’s top young university, and located centrally in one of the world’s most liveable cities. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow.
A fantastic opportunity exists for a driven, early career researcher in the field of statistics to contribute to the development and application of algorithms for fast approximate inference.
Under the direct supervision of Distinguished Professor Matt Wand, your role will be funded through will be funded by the Australian Research Council Discovery Project: Fast Approximate Inference Methods: New Algorithms, Applications and Theory.
A feeling for the type of work to be undertaken can be obtained from inspection of the manuscripts featuring author names ‘Chen’, ‘Kim’, ‘Lee’, ‘Luts’, ‘Menictas’, or ‘McLean’ on http://matt-wand.utsacademics.info/statsPapers.html
To succeed you will bring to this role:
- Doctoral qualifications in Statistics.
- Familiarity with the R computing environment.
- Familiarity with hierarchical Bayesian models.
- Knowledge of the characteristics of reflective, academic writing.
- Previous experience in conducting research in Statistics.
You will also have high level interpersonal skills and an ability to interact with all levels within the university and research sector.
Remuneration & Benefits
Base Salary Range: $97,273AUD to $115,486AUD pa Level B
This role attracts 17% superannuation (pension) in addition to the base salary.
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.
This position is full-time and appointment will be made on a fixed term basis for three years.
How To Apply
Prior to commencing your application for IRC108198, please review the Position Statement and the relevant selection criteria – click on the apply link to be taken to the relevant page.
You are required to address the selection criteria in your submission in a separate document
Only those applications submitted via the UTS online recruitment system will be accepted.
As you will be unable to save your application once started, please have all required documents and information available prior to commencing.
Please ensure that the file name for each document submitted includes IRC108198.
Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at email@example.com or on +61 (0) 2 9514 1080.
Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel.
Closing Date: Thursday 17th May 2018 at 11.59pm (AEST)
UTS is widely acknowledged as a leader in promoting gender equity and social justice. Cited as a WGEA Employer of Choice since the inception of the award, UTS is a current participant in the SAGE pilot program, the Australian trial of the Athena Swan gender equity accreditation program. We welcome applications from women, particularly for senior and non-traditional roles.