Postdoctoral Fellow in Statistics
EMBL Australia node in Single Molecule Science
School of Medical Sciences
- One of Asia-Pacific’s leading research-intensive Universities
- Strong regional and global engagement
- Cutting edge facilities and equipment
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
At the Single Molecule Science node we seek research leaders to develop and drive novel conceptual and experimental approaches for challenging problems in cell biology and immunology. The successful applicant will drive a research project in the Gaus group, support other students and researchers in the group, help define and drive new research directions aligned with the overall goals of the group and the single molecule science unit, and supervise students and research assistants. We seek an experienced, independent-minded postdoctoral researcher, committed to excellent research, with good team building and interpersonal skills, who will help us turn the group’s visions into reality.
About the role
- $91,743 - $98,127 p.a. plus (9.5% superannuation and leave loading)
- 12 months Fixed Term position with possibility of renewal
We currently have an exciting position for an experienced individual to join our team as a Postdoctoral Research Scientist. In this role, you will be responsible for driving a research project in the Gaus Group and leading/participating in research at the interface of cell biology, materials science and immunology at the EMBL Australia node in Single Molecule Science at the University of New South Wales (UNSW) in Sydney, Australia. The group uses multiple advanced microscopy techniques, including single molecule localisation and lattice light sheet microscopy, to investigate the molecular mechanisms of T-cell activation and function. The group is also part of the ARC Centre of Excellence in Advanced Molecular Imaging at the University of New South Wales (UNSW) in Sydney, Australia.
Applicants with an inter-disciplinary research background and proven track-record of research excellence, experience in supervision of students and leading research into computational biology or related fields are strongly encouraged.
-To be successful in this role you have:
- A PhD in statistics, computational biology, bioinformatics or related field
- Demonstrated experience in machine learning methods and multivariate statistics
- Demonstrated experience in image analysis
- Demonstrated experience in using mathematics and/or statistics to solve biological problems
- A track record in publishing scientific research papers in a relevant area or field, and experience in grant writing
You should systematically address the selection criteria in your application.
You may be required to undergo pre-employment checks prior to appointment to this role.
Talent Acquisition Lead
T: (61 2) 9385 3260
Applications close: 11:00 pm 26th July 2018