Postdoctoral Fellow in Mathematical Biology
- One of Australia’s leading research & teaching universities
- Vibrant campus life with a strong sense of community & inclusion
- Enjoy a career that makes a difference by collaborating & learning from the best
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
The School of Mathematics and Statistics at UNSW is a leading research mathematics school in Australia and enjoys a strong international reputation. It is one of the largest and most successful schools of mathematics and statistics in Australia.
The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC funded Discovery Project titled “Determining features that separate groups of protein sequences”
About the role
- $73,597-$98,127K plus 9.5% Superannuation and annual leave loading
- Fixed Term – 12 months
- Full-time 35 hours per week
The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC funded Discovery Project titled “Determining features that separate groups of protein sequences". This project aims to produce new mathematical methods for analysing viral genetic sequences and determining components within these sequences responsible for different outcomes.
About the successful applicant
To be successful in this role you will:
- PhD in Bioinformatics, Operations Research, Applied Mathematics, Computer Science or related field
- Knowledge of Operations Research and experience in protein sequence analysis is desirable, though not essential
- Strong research and publication track record (relative to career opportunity)
- Demonstrated high level analytical and problem-solving skills
- Excellent programming ability, including proficiency in Matlab
- Excellent verbal and written communication skills including strong scientific writing skills in English, as evidenced by publications in internationally recognised, high ranking, peer-reviewed journals (relative to career opportunity)
- Strong interpersonal and leadership skills and a demonstrated ability to work effectively as part of a team as well as a demonstrated high level of self-motivation and ability to work independently
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training
You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent to the contact listed.
John Murray, Professor Sch of Mathematics & Statistics
T: (61 2) 9385 7042