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.
For the full list of the selection criteria and role responsibilities please go to the UTS Jobs Website.