Organisation/Company: UNIVERSITY OF MELBOURNE Research Field: Chemistry, Engineering Researcher Profile: Recognised Researcher (R2), Established Researcher (R3) Country: Australia Application Deadline: 11 Oct 2024 - 00:00 (UTC) Type of Contract: Other Job Status: Full-time Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer DescriptionJob 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 – $83,468- $113,262 p.a.
(PhD entry Level A.6 - $105,518 p.a.)
plus 17% super Lead digital innovation in biopharmaceutical manufacturing through advanced research and industry collaboration.Transform Australian Biopharma manufacturing with cutting-edge digital bioprocessing solutions and international collaboration.About the Role
The ARC Hub for Digital Bioprocess Development (home) 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 has engaged 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.
The ARC Hub for Digital Bioprocess Development is a collaborative program of significant scope and scale.
It draws together expertise from The University of Melbourne, University of Technology Sydney and RMIT University, together with CSL Innovation, Patheon and Cytiva and three leading international universities, forming a substantial team.
The Hub will have the critical mass of researchers and expertise needed to address key biopharma research challenges, contributing to industry outcomes and positioning Australian Biopharma manufacturing to benefit from Industry 4.0.
Chief Investigator: Professor Sally Gras The Postdoctoral Research Fellow – Process Modelling is part of the ARC Digital Bioprocess Development Hub Research Program.
This position will model process performance using mechanistic models for cell culture coupled with the emerging techniques of machine learning and data-driven computational modelling.
The project will consider the effect of process intensification; it will consider fluid flow and heat and mass transfer, as well as kinetic models, integrated with data-driven approaches to build new bioreactor models.
A range of computational fluid dynamics and other simulation tools may be employed.
The project aims to understand, predict and optimize bioreactor performance and improve bioreactor control to produce 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.
New models will be developed for fed-batch processes using existing historical data, as well as new experiments for validation.
The potential of real-time analytics and predictive modelling to improve process control and cell growth will be examined.
The insights obtained will be used to develop an innovative approach to real-time platform control.
The position is based in an established group within the Department of Chemical Engineering and Bio21 Molecular Science and Biotechnology Institute and will involve research across The University site and partner organisation CSL Innovation.
The project team involves several PhD students and research assistants; the team also collaborates closely with other project teams within the Digital Bioprocess Development Hub providing excellent opportunity to publish research, whilst also having an impact on the sector.
Your responsibilities will include:
Independently planning and carrying out research on the research project and working towards completion of the aims of the project.
This will include both mathematical modelling work and some experimental work e.g.
to assess the usefulness of process analytical technologies.
With training, you will also undertake data-driven computational work.Developing effective timelines and milestones based on goals of the research program.Liaising effectively with collaborators and a variety of internal and external stakeholders to foster collaborative partnerships and working with teams to achieve joint outputs and outcomes.Preparing and publishing research outcomes in conferences and journals and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne.Contributing to the research group and assisting in co-supervision of PhD and masters project students.Who We Are Looking For
You will be able to demonstrate a capacity to communicate research concepts to technical and non-technical audiences.
You will show excellent interpersonal skills, including an ability to interact with internal and external stakeholders (academic, administrative and support staff) in a courteous and effective manner.
You will also have the ability to develop, administer and see through to completion appropriately designed research projects with limited supervision.
You will also have:
A postgraduate research degree at PhD level (or near completion) or Higher Education qualification in a field relevant to the position described above.
Specifically, in chemical or biochemical engineering, mathematical process modelling or bioreactor modelling for mammalian cell culture.A sound understanding of the fundamentals of engineering including fluid flow, heat and mass transfer, process control and mathematical model development.A high proficiency in mathematics, preferably related to models.An understanding of bioprocessing and cell culture. #J-18808-Ljbffr
