Applications are now closed for this role.
Postdoctoral Fellow in the School of Mathematics and Statistics at UNSW
The School of Mathematics and Statistics currently has more than sixty continuing academic staff and more than thirty research staff as well as visiting academics. UNSW is the top university in Australia for Mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science, Finance and Risk Analysis, Nonparametric Statistics, Optimisation, Stochastic Analysis, and Stochastic Modelling. The School’s research groups are interconnected, with frequent interactions between groups and with other schools and faculties both within and outside UNSW.
The Postdoctoral Fellow (Level A) is expected to contribute towards the research effort of UNSW and to develop their research expertise through the pursuit of defined projects, specifically on an ARC-funded Discovery Project titled “Data-driven multistage robust optimization”.
The primary research goals are to make a major contribution to the understanding of optimization in the face of data uncertainty and to develop mathematical principles for broad classes of multi-stage robust optimization problems, to design associated data-driven numerical methods to find solutions to these problems, and to provide an advanced optimization framework to solve a wide range of real-life optimization models of multi-stage technical decision-making under uncertain environments.
About the role
- $106K - $113K plus 17% Superannuation and annual leave loading
- Fixed Term – 1 year
- Full-time (35 hours per week)
The role of postdoctoral fellow reports to Prof Jeya Jeyakumar and has no direct reports.
Specific responsibilities for this role include:
- Contribute independently or as a team member in collaborative research with a focus to enhance the quality of research outcomes in the discipline area.
- Develop mathematical principles, tailored and scientifically justified methods for optimization problems in the face of data uncertainty.
- Undertake specific research project/s under the guidance of a research leader and contribute to development of research activities.
- Collaborate on publications in internationally refereed journals, in leading mathematical and applications-based journals.
- Undertake discipline-appropriate research activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods.
- Participate in and/or present at conferences and/or workshops relevant to the project as required.
- Assist with the supervision of research students in the research area where required.
- Implement numerical methods and algorithms based on the newly developed mathematical theory.
- Satisfactory conduct of administrative and other duties allocated by the supervisor.
- Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.
- Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.
About the successful applicant
To be successful in this role you will have:
- PhD in Mathematics, or near completion, preferably in mathematical optimization or operations research.
- Knowledge in robust optimization methods and multistage optimization techniques is highly desirable, though not essential.
- Strong computer programming experience, preferably with Matlab, C++, or Python.
- A strong research track record (relative to opportunity) in mathematics, as evidenced by publications in leading journals.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal skills.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
You should provide a cover letter and systematically address the selection criteria listed within the position description in your application.
For informal queries, please see the below contact details.
Otherwise, please apply online - applications will not be accepted if sent directly to the contact listed.
Applications close: February 14th, 2024