Research Fellow in Multiscale Mathematical Modelling of Cell Biology

Job Description

Research Fellow in Multiscale Mathematical Modelling of Cell Biology The University of Melbourne Australia, Vic Jan 24, 2025 Position Number: 0059007Location: ParkvilleRole type: Full-time; Fixed-term for 15 monthsFaculty: Faculty of ScienceDepartment/School: School of Mathematics and StatisticsSalary: Level A - $83,468 - $113,262 (Ph.D. entry Level - $105,518) p.a. plus 17% super About the Role As a Research Fellow in Multiscale Mathematical Modelling of Cell Biology, you will develop a mathematical framework to bridge simple and complex biological experiments, focusing on agent-based and continuum mathematical models. Working within the School of Mathematics and Statistics, you will contribute to the ARC-funded project “Mathematical models to connect experiments across biological scales,” led by Dr Stuart Johnston, Dr Matthew Faria, and Associate Professor James Osborne. The project aims to understand the formation and structure of crypt organoids by interfacing mathematical models with experimental data. This is a research-focused position with opportunities for joint supervision of postgraduate students and optional teaching experience for skill development. Your responsibilities will include: Under supervision, lead the development of mathematical models of cell behaviour, and calibration of models to experimental data, leading to peer-reviewed journal publications, revision-tracked software code and technical documents. Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne. Assist and actively contribute, under the guidance of Senior Academics, to the preparation of research proposal submissions to external funding bodies. Undertake administrative functions and obligations primarily connected with the area of research. Contribute to and assist in the co-supervision and training of postgraduate or research higher degree students. Who We Are Looking For You will have experience in at least one of the following areas: mathematical biology, continuum mathematical modelling, or agent-based modelling, coupled with a proven ability to collaborate effectively within multidisciplinary teams and contribute to the collective goals of the team. You will also have: Completion (or near completion) of a PhD in applied mathematics or related discipline. Demonstrated capacity to engage in outstanding research consistent with the strengths and strategic directions of the ARC Discovery Project, with a strong publication track record of original research publications in peer-reviewed international journals, relative to time since PhD completion. Demonstrated ability in scientific programming or software development. It’s ideal if you bring: A PhD or equivalent in data-driven mathematical biology. Experience in calibrating mathematical models to experimental data. Experience in the development and computational implementation of agent-based models of biological processes. Experience in discrete-to-continuum scaling techniques and/or coarse graining approaches. Additional Information This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia. Join Us! If you feel 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) If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at , ensuring that you include the Position Number and the Job Title as the subject. #J-18808-Ljbffr