Job no: 0049987
Work type: Fixed Term
Division/Faculty: Faculty of Business and Economics
Department/School: Department of Management and Marketing
Salary: $102,967 - $122,268 (Level B)
Role & Superannuation rate: Academic - Full time - 9.5% super
We currently have an opportunity for an early-career postdoctoral academic to join our team of organization scientists, computer scientists, and mathematical biologists as part of a project funded by the Australian Research Council to implement parallel processing (on GPGPUs) and distributed computing methods (on cloud-based platforms) to study complex dynamic social and health systems. Formally employed on a two-year contract (with the possibility of extension conditional on funding) in the Department of Management and Marketing within the Faculty of Business and Economics at the University of Melbourne, the successful candidate will share responsibility for coding existing and new algorithms that characterize and test causality using methods from dynamical systems research in ecology and applied physics. In conjunction with Associate Professor Michael Zyphur (University of Melbourne), Associate Professor Jinjing Li (University of Canberra), and Professor George Sugihara (University of California, San Diego), this two-year position will give the incumbent an opportunity to learn and apply new skills to help revolutionize data analysis in the social and health sciences. Throughout the year some travel to Canberra is expected, and the Postdoctoral Fellow may even choose to be primarily located in Canberra to more closely collaborate with Associate Professor Jinjing Li if this is of interest.
The successful candidate will have a PhD in Computer Science or equivalent, with data science and/or software engineering expertise using Python and C. Experience with package development in R may be helpful but is not necessary. The project will primarily focus on scientific computing applications to evaluate complex dynamic systems on GPUs and massively distributed CPUs (e.g., AWS platforms such as Lambda or equivalent). For the GPU case, programming in the novel and intuitive ArrayFire library will allow compiling for CUDA and OpenCL (as well as Python/C for local parallel processing on multi-core CPUs). For distributed computing on cloud infrastructure, in-house development using Python and C will be required. We do not expect prior expertise in all APIs / languages that will be used for the project, but we do expect the qualified candidate to have a strong interest in learning and using the required APIs / languages as needed as well as the background required to do so.
Salary is generous at Level B (over $100k per annum) and generous discretionary spending for national and international conferences as well as hardware (including cloud computing time). With a focus on passion and innovation rather than typical forms of “office work”, the appointee will work alongside other programming experts and applied researchers seeking to revolutionize data analysis in the social and health sciences. Prospects for employment in academia and applied industries after the two-year Postdoctoral position are expected to be substantial.