Position Description

Role type: Full time, Fixed Term (3 years)
Faculty: Faculty of Science
School:  School of Mathematics and Statistics 
Salary: Level A: $85,555 - $116,094 p.a. plus 17% super 
Level B: $122,212 - $145,121 p.a. plus 17% super

• ARC funded stochastic optimisation project on correlated restless bandits / collaborate with leading international investigators / develop independent research profile

• Join us to shape new theory and applications in stochastic optimisation and mentor emerging researchers.

• Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. 

The University of Melbourne 
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.

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.

What you will deliver: 

• 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.

You may be a great fit if you: 

• 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.

For further information please refer to the attached PD. 

What we offer you! 
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: 

• Build future financial security with 17% superannuation

• Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being 

• Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning

• Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave

• Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company 

• Health and well-being services including a leading Employee Assistance Program 

For more information check out our benefits page! 

Your new team – School of Mathematics and Statistics 
Joining the School of Mathematics and Statistics, you will contribute within one of Australia’s leading mathematical sciences communities. The school hosts numerous ARC-funded centres and fellows, with outstanding infrastructure and strong international research collaborations. Within the Faculty of Science, you will join a diverse, supportive environment that values curiosity, excellence and inclusion.

Be Yourself 
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.

Aboriginal and Torres Strait Islander Applicants 
We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff.
  
Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au.

Application essentials:

• Visit "apply with us" to learn more about the process, including tips and FAQs.

• This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.

• A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.

• Please upload your resume and a cover letter outlining your interest and experience as part of the application process.

• Please upload your responses to the Selection Criteria, found in the Position Description.

Want to know more?

• For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.au

• For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').

Apply today, and join a community that’s shaping the future.

Applications close: Saturday 11 July 11:55 PM; Melbourne time zone. 

Position Description: 

JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.doc

JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.pdf