Postdoctoral Fellow in Stochastic Optimisation

Your next career opportunity

You will join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models.

You will collaborate with leading investigators across Melbourne, RMIT and Spain, developing your independent research profile.

You will also co-supervise research students and contribute to teaching within a world-class mathematics school.

Conduct high quality research in stochastic optimisation, focusing on theory and applications of correlated restless bandit models.
Collaborate closely with chief investigators and research partners to design studies, analyse results and publish impactful outputs.
Prepare and contribute to competitive grant proposals and related research documentation under guidance from senior academics.
Co-supervise and mentor postgraduate and honours students, supporting their research training and academic development.
Present research at seminars and conferences, and participate in School service, outreach and diversity activities.

Hold or submit a PhD in mathematics, optimisation, stochastic modelling or a closely related quantitative discipline.
Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems.
Bring experience contributing to research projects, from problem formulation to analysis, publication and dissemination of findings.
Contribute to supervision or mentoring of undergraduate or postgraduate research students in mathematical or related fields.
Work effectively within collaborative research teams while also progressing individual projects with limited supervision.
Communicate research clearly in English, both in writing and presentations, to academic and broader audiences.

Postdoctoral Fellow in Stochastic Optimisation