An exciting opportunity exists for early career and more established researchers to join an ARC funded research program at the intersection of computational biology and natural computing.
The program investigates the principles of self-organization in biological systems, particularly in social insects, amoebae, and bacteria, and utilizes these principles to design new computational solutions for hard optimization problems (see http://www.csse.monash.edu.au/~berndm/CDM). We use stochastic modelling techniques together with high performance simulation techniques to study these systems (see http://www.csse.monash.edu.au/~berndm/LangeSim).
The successful applicant will have a PhD and preferably some years of postdoctoral research experience in a relevant field, such as theoretical and amtheamtical biology, computer science, statistical physics, theoretical chemistry, or a related area of applied mathematics. The project requires a keen interest in inter-disciplinary work and the ability to communicate well across disciplinary boundaries. The ideal candidate has expertise in Simulation, Stochastic Modelling (specifically Reaction-Diffusion), and Dynamic Systems. Knowledge in Behavioral Biology and Entomology is an advantage but not required.
The project has nodes at Monash University, the University of Melbourne, The University of Sydney and strong collaborations with international partners (including The Future University in Hakodate, Japan and the Centre for Animal Cognition in Toulouse). The position will be based in Melbourne, but offers the opportunity to spend time at other locations of the project.
We invite full-time and part-time applications for appointment as Research Fellow Level A/B. All applications must include a curriculum vitae, indicative publications if available, contact details of two referees and must address the selection criteria.
Salary range: Salary range: Level A PhD/Level B plus generous superannuation commensurate with experience
Duration: Fixed Term up to two years
Location: Clayton campus
Enquiries: A/Prof Bernd Meyer via email bernd.meyer@acm.org
Applications accepted until position filled