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    Postdoctoral Fellow - Sydney, Australia - UNSW Australia

    UNSW Australia
    UNSW Australia Sydney, Australia

    1 week ago

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    Full time
    Description

    Postdoctoral Fellow - Mathematics & Statistics

    Job no: 524013
    Work type: full time
    Location: Sydney, NSW
    Categories: Post Doctoral Research Associate

  • 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 currently has more than sixty continuing academic staff and more than thirty research staff as well as visiting academics. UNSW is the only university in Australia to be ranked in the top 100 in the world in Mathematics and Statistics by each of the four ranking bodies: CWTS Leiden, ARWU, USNews, QS.

    The School embodies a broad range of research interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods, Biomathematics, Biostatistics and Ecology, Combinatorics, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Fractional Calculus, Functional and Harmonic Analysis, Geometry and Mathematical Physics, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, and Stochastic Modelling.

    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 relevant to their particular field of research. The role may involve the conduct of classes.

    About the role

  • $106K - $113K plus 17% Superannuation and annual leave loading
  • Fixed term – 3 years
  • Full time (35 hours)

    • The role reports to Professor Andrew Francis and has no direct reports.

    Specific responsibilities for this role include:

  • Contribute independently and as a team member in collaborative research on the mathematics associated with phylogenetic trees and networks. The areas of mathematics involved will include discrete mathematics, combinatorics, and graph theory, and may benefit from other expertise including group theory, probability theory, complexity theory, and programming skills.
  • Occasional teaching may be required from time-to-time.
  • Support the dissemination of research outcomes through appropriate channels and outlets, including collaboration in drafting, editing, and submitting manuscripts.
  • 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.
  • Assist in the development of research funding proposals as required.
  • 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.

    • Selection Criteria

    To be successful in this role you will have:

  • A PhD in a related discipline, and/or relevant work experience.
  • 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 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 .

    Contact:
    Andrew Francis
    E:

    Applications close: May 20th, 2024

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