Qualifications & Memberships
Research interests include:-Image reconstruction -Diffraction -Mathematical and physical modelling -Applications in biology, geology and atmospheric science
- Arnal RD. and Millane RP. (2017) The phase problem for two-dimensional crystals. I. Theory. Acta Crystallographica Section A: Foundations and Advances 73: 438-448. http://dx.doi.org/10.1107/S2053273317013687.
- Millane RP. (2017) The phase problem for one-dimensional crystals. Acta Crystallographica Section A: Foundations and Advances 73(2): 140-150. http://dx.doi.org/10.1107/S2053273316020386.
- Millane RP., Zhang N., Enevoldson E. and Murray JE. (2017) Analysis of mountain wave 3D wind fields in the Andes derived from high-altitude sailplane flights. Technical Soaring in press
- Popp D., Loh ND., Zorgati H., Ghoshdastider U., Liow LT., Ivanova MI., Larsson M., DePonte DP., Bean R. and Beyerlein KR. (2017) Flow-aligned, single-shot fiber diffraction using a femtosecond X-ray free-electron laser. Cytoskeleton 74(12): 472-481. http://dx.doi.org/10.1002/cm.21378.
- Wojtas DH., Ayyer K., Liang M., Mossou E., Romoli F., Seuring C., Beyerlein KR., Bean RJ., Morgan AJ. and Oberthuer D. (2017) Analysis of XFEL serial diffraction data from individual crystalline fibrils. IUCrJ 4(Pt 6): 795-811. http://dx.doi.org/10.1107/S2052252517014324.
Ph.D. Scholarship available
Coherent diffraction imaging: Computational methods for processing x-ray free-electron laser data for imaging biological macromoleules
A 3-year Ph.D. Scholarship (stipend + tuition fees) is available in the Computational Imaging Group in the Department of Electrical and Computer Engineering at the University of Canterbury in New Zealand.
The research project is concerned with development and implementation of signal and image processing algorithms for x-ray free-electron laser data from biological molecules. The project focuses on novel computational methods and algorithm development for analysis of Bragg and diffuse diffraction from modified and disordered crystals, and single molecular assemblies. The project is with a world-renowned group in computational imaging, and will also involve collaboration with leading research groups in Stanford, Arizona and Hamburg.
Qualifications: Good theoretical and computational skills, and a good undergraduate degree in physics or engineering. A background in signal processing would be an advantage.
Email a cv, a short statement of research interests, names and email addresses of two referees, and your academic transcript to Professor Rick Millane at firstname.lastname@example.org