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Lecturer - Data Science

Apply now Job no: 497399
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Lecturer

  • 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 and pure mathematics and statistics. 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, 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 School is currently expanding its teaching and research programs in Data Science.

The School teaches approximately 10,000 individual students in 150 active courses in science, engineering and other areas. For administrative purposes, it is split into departments of Applied Mathematics, Pure Mathematics and Statistics.

The School's undergraduate programs cover a wide spectrum of courses in Applied Mathematics, Pure Mathematics, Statistics and Data Science. Its postgraduate programs include coursework degrees, face-to-face delivery and online delivery (at Graduate Diploma and Masters levels) and vigorous research programs leading to MSc and PhD degrees. Currently the School has about 80 postgraduate students, of whom approximately 50 are enrolled in the PhD program.

About the role

  • $107K - $126K plus 17% Superannuation and annual leave loading
  • Fixed Term – 5 years convertible tenure track
  • Full time (35 hours)

The Lecturer in Data Science will conduct research in Data Science & Statistics and align, where possible, with the existing research strengths in the School, contribute actively to the School’s teaching activities in Data Science and Statistics across a range of undergraduate and postgraduate courses, including online teaching and engage with the community and industry to build links in Data Science.

The role of Lecturer reports to the Head of School and has no direct reports.

Specific responsibilities for this role include:

  • Perform research in Data Science and Statistics with a view to publication in influential and high-impact scholarly journals.
  • Work both collaboratively and independently on research grant proposals and applications to national competitive grant agencies and other funding bodies.
  • Develop research collaborations within the School as well as links with other groups on campus and with industry.
  • Develop research collaborations nationally and internationally.
  • Actively disseminate research findings at seminars and conferences within the School, the UNSW environment, nationally and internationally.
  • Teach courses in Statistics and Data Science to a range of audiences at the University.
  • Teach specialist Honours and Masters level courses.
  • Supervise Honours and Masters Course Work projects; and supervise PhD and Masters Research students.
  • Contribute to the design and delivery of the School’s face-to-face teaching programs and courses.
  • Contribute to the design and delivery of the School’s online teaching programs and courses.
  • Actively participate in School activities and demonstrate an ability and willingness take on leadership roles in the School.
  • Undertake administrative duties as specified by the Head of School and participate in School, Faculty and/or University committees as required.
  • 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 or equivalent qualification in relevant mathematical sciences.
  • Demonstrated research ability in Data Science and Statistics.
  • Demonstrated ability to conduct research with other researchers in the School.
  • Evidence of effective teaching experience.
  • Evidence of research group collaborations.
  • Demonstrated capacity to conduct high quality research at an international level.
  • Strong publication record in top, peer-reviewed journals.
  • A record, or demonstrated ability, of success in external research funding.
  • Demonstrated ability to supervise PhD students.
  • Demonstrated experience in student supervision including, for example, Honours, Masters, Vacation Scholars projects.
  • Willingness to engage in teaching into online programs in Data Science and Statistics.
  • Excellent oral and written communication skills.
  • Excellent leadership skills, including competence in modelling behaviours that align with the University’s values and the ability to foster these in staff, students and the broader University community.
  • 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.

Scott Sisson

Applications close: August 25th, 2019

Find out more about working at UNSW at

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity or Indigenous heritage. We encourage everyone who meets the selection criteria to apply.

UNSW partners with Australia’s leading diversity organisations, networks, and campaigns. Please refer to UNSW’s diversity offerings for further information on our flexible work and leave options, and support for carers (childcare, parent rooms, parental leave).

Position Description

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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