The Opportunity

“Improving representativeness in non-probability surveys and causal inference with regularized regression and poststratification” is a project that seeks to explore and extend the use of multi-level regression and post-stratification and related methods to non-probability surveys and causal inference in a predictive outcome framework. The project is currently looking for a Research Fellow to join their team.

Having expertise with Bayesian methods and computation the successful applicant will be responsible for:

• The conduction of research and then the production of conference and seminar papers and publications from that research
• Supervision of research-support staff
• Occasional contributions to the teaching program on the research project
• Involvement in professional activities including, subject to availability of fund, attendance at conferences and seminars in the field of expertise

Knowledge of the languages Stan and R are highly desirable, as is knowledge or expertise in multilevel regression or survey weighting methods.

At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.

This opportunity is a fixed-term, full-time position; however, flexible working arrangements may be negotiated.

Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".

Enquiries

Dr Lauren Kennedy, Lecturer, Econometrics & Business Statistics, +61 3 9903 4536

Position Description

Research Fellow

Closing Date

Thursday 22 April 2021, 11:55 pm AEST

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