- Do you have a PhD (or will shortly satisfy the requirements of a PhD) in geophysics or applied mathematics?
- Contribute to the design, development and implementation of a Common Framework for Inference (CoFI)
- Solve complex multi-data and highly non-linear inference problems in this exciting postdoctoral role
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.
The CSIRO’s Deep Earth Imaging Future Science Platform and the Australian National University (ANU) have entered into a partnership to establish InLab, short for Inversion Laboratory. A key activity of InLab (www.inlab.edu.au) is the development of CoFI, an envisaged Common Framework for Inference, which seeks to provide industry, academia and government with a framework underpinning training, services and research in the development of inference methods.
Complex multi-data and highly non-linear inference problems arise when for example combining multiple classes of geophysical observations, and seeking to extract the information contained in complex geo-datasets. Addressing this challenge requires access to the next generation of geodata inference approaches. CoFI seeks to facilitate this by providing domain experts with access to sophisticated geodata inference approaches underpinning resource delineation and characterisation nationally and internationally. The CERC postdoctoral fellow will play a key role in the design, development and rollout of CoFI with a particular focus on compiling, documenting and implementing a set of relevant examples demonstrating the use of CoFI to solve inference problems in the geoscience domain, including but not limited to geology, hydrology, geochemistry and geophysics.
The successful candidate will be a part of the growing community around InLab that shares a common interest in inference methods and will thus have the opportunity to interact with leading experts in the field, including Prof. Malcolm Sambridge (ANU) and Dr. Andrew Valentine (Durham University).