Job no : 0056751 Location : Parkville Role type : Full time/Part time; Fixed-term for up to three years, with possible extension Faculty : Faculty of Engineering and Information Technology Department/School : School of Chemical and Biomedical Engineering Salary : Level A – $80,258 - $108,906 p.a. (PhD entry Level A.

6 - $101,464 p.a.) plus 17% super The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People.

We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation, and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands. The School of Chemical and Biomedical Engineering is seeking to appoint a Postdoctoral Research Fellow – Bioprocess modelling engineer for a research project to model bioprocess performance using mechanistic models for cell culture and bioreactor performance coupled with the emerging techniques of machine learning and data-driven computational modelling. The project will use computational fluid dynamics for simulation of fluid flow and heat and mass transfer, as well as kinetic models integrated with data driven approaches to build new bioreactor models.

The project aims to understand, predict, and optimize bioreactor performance and improve bioreactor control for the production of therapeutic proteins, including via the use of process analytical technologies. It will use experimental validation to provide insights into processing and process scaling to accelerate process development and scale up. About the Role The ARC Hub for Digital Bioprocess Development is part of the Industrial Transformation Research Hub grant scheme (ITRH Scheme) and aims to assist the Biopharma industry by increasing digital innovation, productivity and competitiveness.

The Hub will engage an interdisciplinary team of engineers, scientists and computing specialists to develop digitally integrated advanced manufacturing processes and a platform for industry adoption. The program will address key bioprocessing research challenges and develop new process and digital models that can predict and optimise manufacturing processes, resulting in greater yields, faster and more flexible processes and enhanced product stability. The Hub will transform biopharmaceutical manufacturing and unlock growth opportunities to forge an internationally competitive Australian Biopharma sector.

Research Fellow (RF2) - Cell Culture in Pharmaceutical Production 2 Chief Investigator Professor Sally Gras This position will model bioprocess performance using mechanistic models for cell culture and bioreactor performance coupled with the emerging techniques of machine learning and data-driven computational modelling. The project will use computational fluid dynamics for simulat.