4 funded PhD Positions in Bioinformatics, Machine Learning, Systems and Synthetic Biology @ Melbourne
Closing date:15th July 2019
Brief position description:We are inviting applications for 4 funded PhD positions to develop whole-cell mathematical simulation models for Bacillus subtilis. If you are interested in multidisciplinary research and have relevant undergraduate and masters degrees in the life sciences, engineering, mathematics, statistics, physics, or computer science this is an excellent opportunity to embark on a research career in a world-leading, friendly and supportive computational biology research environment.
Understanding and being able to explain and predict the behaviour of Bacillus subtilis is of fundamental importance. But mathematical models are also essential for synthetic biology and biotechnology. For example, we need mathematical simulation models to design B. subtilis strains that help us tackle the effects of global warming and pollution. These four PhD projects will jointly work towards such a model:
1. Biological text-mining and knowledge representation
2. Statistical bioinformatics and bacterial genomics
3. Modelling of biophysical processes and cell cycle dynamics
4. Modelling of gene regulation and metabolic networks
You will join a thriving and collaborative community at the University of Melbourne. We are particularly keen to have a diverse cohort of researchers, who want to contribute to this environment. This is a perfect opportunity to engage in exciting and multidisciplinary research, and actively shape the future of systems, synthetic and computational cell biology.
Please address your questions and inquires to mstumpf@unimelb.edu.au
To apply please send your application including Cover Letter, CV, final transcripts (where available), and the details of two referees to mstumpf@unimelb.edu.auby the 15th of July.
We can assist international students with their relocation expenses.
Job website:
Contact name:Michael Stumpf
Contact email:mstumpf@unimelb.edu.au