Postdoctoral Fellow, Research School of Physics
Classification: Academic Level A
Salary package: $74,775 - $93,855 per annum plus 17% Superannuation
Term: Full Time, Continuing (Contingent Funded, 2 years initial appointment)
- Excellent employer superannuation contributions
- On campus childcare facilities
- Support network and mentoring program for early career academics
The Research School of Physics (RSPhys) represents Australia's largest university based research and teaching activity in the physics discipline. The School is home to a number of major national facilities such as Australia's largest accelerator and the H1-NF National Stellarator Facility. Hundreds of academics, technical staff and students form the School's greatest asset, its people. This critical mass of researchers is of fundamental importance in fostering the kind of interdisciplinary interactions that create modern research excellence.
The underlying impetus of our research is a belief in the fundamental importance of physics to all of science and technology and the key role physics must play in addressing the challenges facing the modern world. For example, in addressing climate change, we must better understand the physics of the atmosphere and develop new clean sources of energy. In medicine, further development of new procedures, such as positron therapy for cancer treatment, will not be possible without advancing the basic physics that underlies them. The communications revolution that is changing the world is driven by physics, and if progress is to continue, research must harness advances in electronic materials, lasers and optoelectronic devices.
There is no better place to study and research physics than the Research School of Physics at The Australian National University.
The successful candidate will become a member of the department of Materials Physics within the Research School of Physics (RSPhys). They will contribute to the research output of the imaging group of the ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (m3d.edu.au). This imaging group spans ANU and the Australian Nuclear Science and Technology Organisation (ANSTO) and includes the National Laboratory for Micro Computed-Tomography (CTLab) at ANU, as well as the ANSTO X-ray and neutron imaging beamlines (i.e., IMBL, XFM, MCT, DINGO). The successful candidate will focus on two sub-projects of the training centre: (i) Developing tomographic reconstruction algorithms for dynamic systems such as fluid flow through porous materials and mechanical deformation; (ii) Exploring techniques to mitigate or correct for the effects of X-ray scatter in tomography of highly-attenuating samples such as printed metal components. There will be significant scope to interact with ANU and the ANSTO imaging beamlines to develop potential collaborations that arise.
To excel in this role you will have:
- PhD (or equivalent) in Mathematics, Physics, or Computer Science
- Ability to deliver high-quality research output
- Achievements in leading projects in the field of X-ray and/or computational imaging
- Experience in at least one and preferably several of the following areas:
- X-ray imaging techniques
- Computational imaging (e.g., tomography, ptychography)
- Monte Carlo software (e.g. Topas, Geant4, BEAMnrc)
- Image processing
- Optimisation techniques
The Australian National University is a world-leading institution and provides a range of lifestyle, financial and non-financial rewards and programs to support staff in maintaining a healthy work/life balance whilst encouraging success in reaching their full career potential. For more information, please click here.
For more information about the position please contact Andrew Kingston on T: +61 2 6125 0185 E: email@example.com
Closing Date: 6 December 2021
ANU Values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. People with a disability are encouraged to apply. For more information about staff equity at ANU, click here.
In order to apply for his role, please make sure that you upload the following documents:
- A statement addressing the selection criteria, and
- A current curriculum vitae (CV).
Applications which do not address the selection criteria may not be considered for the position.
Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.