Research Fellow

**The Opportunity**

Are you passionate about pioneering new predictive methodologies? Join our dynamic team working on the ARC Discovery Grant "Loss-Based Bayesian Prediction".

As a Research Fellow, you'll delve into cutting-edge research utilizing state-of-the-art computational methods. Our project aims to revolutionize prediction by minimizing loss and maximizing accuracy through innovative Bayesian computation techniques.

Key Responsibilities:

- Conduct groundbreaking research, contributing to conference papers and publications
- Mentor research-support staff
- Collaborate on research proposal submissions
- Engage in professional activities and attend relevant conferences
- Occasionally contribute to teaching within your area of expertise
- Participate in research and organizational meetings

Key Selection Criteria:

- Doctoral qualification in the relevant discipline
- Proven statistical analysis skills with a track record of publications
- Ability to work independently and collaboratively
- Strong organizational and communication skills
- Proficiency in analytical software such as MATLAB, R, and Python

**Be part of our story. Work with us to **#ChangeIt**.**

Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.

**Enquiries**

Professor David Frazier, +61 3 9905 2973

Associate Professor Ole Maneesoonthorn +61 3 9903 4164

**Position Description**

Research Fellow

**Closing Date**

Sunday 31 March 2024, 11:55pm AEDT

**Supporting a diverse workforce