University of Melbourne, Mathematics & Statistics

534 27483
Position ID:
UniMelb-RFMBH [#27483]
Position Title:
Research Fellow in Modelling Biological Heterogeneity
Position Type:
Postdoctoral
Position Location:
Melbourne, Victoria 3052, Australia
Subject Area:
Modelling Biological Heterogeneity
Appl Deadline:
2026/10/27 11:59PMhelp popup* (posted 2025/10/26, listed until 2026/09/17)
Position Description:
   

Position Description

Role type: Full-Time; Fixed Term until December 2028 
Faculty: Faculty of Science 
Department/ School: School of Mathematics and Statistics 
Salary: Level A - AUD $85,555 - $116,094 p.a. (*PhD entry level $108,156 p.a.) plus 17% super  

  • Pioneer research in modelling heterogeneous populations through collaboration with leading institutions to advance mathematical biology. 

  • Apply now for this exceptional opportunity to drive innovation in mathematical modelling and biological research. 

  • Investing in you - 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  
Join our esteemed research team as a Research Fellow in Modelling Biological Heterogeneity. In this pivotal role, you'll develop an innovative mathematical framework to model heterogeneous biological populations, contributing to research in mathematical biology. You'll collaborate with renowned institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows you to shape the future of biological research while working alongside leading experts in the field. 

Your responsibilities will include:  

  • Model Development: Develop agent-based mathematical models and derive corresponding population models to capture biological heterogeneity. 

  • Software Implementation: Implement solvers for these models in appropriate software, ensuring accurate and efficient computational solutions. 

  • Case Study Application: Apply the developed models to specific case studies, contributing to the advancement of scientific knowledge. 

  • Research Dissemination: Actively participate in research seminars, conferences, and academic publications to share findings with the broader scientific community. 

  • Collaboration and Mentorship: Engage with professional and industry bodies, foster collaborative partnerships, and contribute to the supervision and training of research students. 

You may be a great fit if:  
You are a highly motivated and skilled researcher with a PhD (or near completion) in Applied Mathematics or a related field, possessing a strong commitment to advancing scientific knowledge through innovative mathematical modelling approaches.  

You may also:  

  • Possess a strong background in mathematical modelling, with expertise in areas such as agent-based models and population models. 

  • Have experience in implementing mathematical models using appropriate software and computational techniques. 

  • Demonstrate excellent analytical and problem-solving skills, with the ability to apply models to real-world case studies. 

  • Exhibit strong communication and collaboration skills, enabling effective teamwork and knowledge dissemination. 

  • Possess a passion for mentoring and contributing to the development of research students. 

  • Be committed to upholding the University's values of diversity, inclusion, and ethical conduct. 

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 fulfillment, including:  

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

  • Progressive, considerate leave provisions to empower your work-life balance  

  • Salary packaging and access to a range of discounted services including Bupa health insurance  

  • 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 
The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The school offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the school and the discipline. 

Science at Melbourne is a global leader across discovery and applied scientific research and education. Science begins with curiosity, and we are dedicated to understanding the universe from the level of sub-atomic particles to the solar system. We aim to be leaders who positively impact the community locally and globally, addressing major societal issues from climate change to disease. Our discoveries help build an understanding of the world around us.  

Be Yourself  
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We believe 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 reasonable adjustments throughout. We warmly encourage applications from people with disabilities. For assistance, please contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Contact details for other enquiries are located at the bottom of this page. 

  

Find more information for applicants requiring reasonable adjustments. 

Aboriginal and Torres Strait Islander Applicants  
We aspire to be the University of choice for Indigenous Australians. Our Indigenous strategy, Murmuk Djerring outlines our investment and support for Aboriginal and Torres Strait Islander staff and students.  
    
Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au for further information and support.   

Please note: Visa sponsorship is available. 
 

A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost. 

 

Join Us and unlock your career potential!  
If this role is right for you, please apply with the following documents:  

  • Resume  

  • Cover Letter outlining your interest and experience  

  • The responses against the Selection Criteria^ (found in the Position Description)  

 

Learn more about the application process, including tips and FAQs. 

For recruitment queries, email Anna Gradoboeva hr-careers@unimelb.edu.au. Include the Position Number and Job Title in the subject line. Please do not send applications to this email address. 

For job-specific queries, refer to the contact details in the Position Description. 

Applications close: 27 November 2026 11:55 PM Australian Eastern Standard Time (AEST) / Melbourne time zone.  

Position Description: JR-005803 Research Fellow in Modelling Biological Heterogeneity_PD.pdf


We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://unimelb.wd105.myworkdayjobs.com/en-GB/UoM_External_Career/job/Parkville/Research-Fellow-in-Modelling-Biological-Heterogeneity_JR-005803 external link.
Contact: Professor Howard Bondell
Postal Mail:
School of Mathematics and Statistics
University of Melbourne
Parkville VIC 3010
Australia
Web Page: http://www.ms.unimelb.edu.au/