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Postdoctoral Fellow - Mathematics & Statistics
Job Description & How to Apply Below
One of Australia’s leading research & teaching universities
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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.
THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA.
The Postdoctoral Fellow will undertake research within a five-year Laureate Fellow project funded by the Australian Research Council and UNSW Sydney. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential geometry, and/or data science. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics.
Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence of these large-scale phenomena and their response to perturbations and devising reliable automatic schemes for predicting this emergence and quantifying their response.
About
The Role Level A - $113K - $121K plus 17% Superannuation and annual leave loading
Fixed term – Approx. 36 months (to June 2029)
Full-time (35 hours per week)
Specific Responsibilities For This Role Include Development of theory that significantly advances the field of dynamical systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning.
Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data.
Collaborative publications in leading international mathematical and scientific journals.
Provide comprehensive analysis and reports in relation to the research project in a timely and effective manner.
Perform small-team research, coordinate research activities, and participate in the setting of future research directions of the project.
Assist with the supervision and mentoring of PhD students to develop the next generation of academics (as per the norms of the discipline).
Present results of research at conferences and other venues.
Align with and actively demonstrate the Code of Conduct and Values.
Cooperate with all health & safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the psychosocial or physical health and safety of yourself or others.
About The Successful Applicant Selection Criteria A PhD in Mathematics (or closely related discipline) or close to completion, preferably in dynamical systems and related areas.
Excellent oral and written communication skills.
An outstanding track record of research publications (relative to career opportunities).
Demonstrated high‑level analytical and problem‑solving skills.
Demonstrated ability to work independently and as part of a team with minimal supervision.
Demonstrated capacity to deliver high‑quality project outcomes in a timely manner.
Computer programming experience, preferably with Julia and/or Matlab.
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.
Applications close:
August 17th, 2026
UNSW is committed to equity diversity and inclusion.
Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
The University reserves the right not to proceed with any appointment.
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