[DMANET] UNSW/USydney Postdoctoral Fellow in Optimization for Radiotherapy

Postdoctoral Position in Optimisation for Radiotherapy

The Radiation Physics Laboratory at the University of Sydney currently has several positions open in Medical Physics related research. It is expected that at least one position will involve developing novel mathematics and numerical methods to solve large mixed integer programming problems that arise in radiotherapy treatments of lung cancer patients. This is an exciting opportunity to work on problems that are beneficial to human health, with the research highly likely to be translated to the clinic.

The optimisation position will be funded by a Cancer Australia Grant held by Dr Ricky O'Brien (University of Sydney) and Professor Gary Froyland (UNSW Australia). The positions are full-time fixed term for three years, subject to the completion of a satisfactory probation period for new appointees, with the possibility of a further offer of employment. The optimisation position requires no formal background in medical physics, however, an appreciation on the role that mixed integer programming plays in radiotherapy would be an advantage.

You will have a PhD in Mathematics, Computer Science, or Engineering specialising in optimisation / mathematical programming; excellent oral and written communication skills; demonstrated ability to work effectively as part of a team; demonstrated computer programming ability; demonstrated high level analytical and problem solving skills; a proven record of publications; a proven capacity for self-directed research; and the ability to deliver high-quality project outcomes in a timely manner.

To apply, please follow the link below; the closing date for applications is 23 March, 2015.
http://sydney.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication&returnToEvent=jobs.listJobs&jobid=6e5b3cec-732f-3dcd-c073-889ba71a7912&CurATC=EXT&CurBID=949319bc%2D8898%2D4f11%2Dac4b%2D9db401358504&jobsListKey=0a7307af%2D0ff8%2D47fe%2D9bb7%2D9c3a92c97387&JobListID=a218b974%2Daa19%2D4889%2D821f%2D9bc90126ffaa&persistVariables=CurATC,CurBID,jobsListKey,JobListID,JobID&lid=91404630172


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