School of Mathematics and Statistics
Closing Date: 8th March 2021
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 and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Biostatistics and Ecology, Combinatorics, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Functional and Harmonic Analysis, Geometry, Mathematical Physics, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, Stochastic Modelling and Fractional Calculus. 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 is affiliated with the newly established UNSW Data Science Hub which is a major strategic initiative of the Faculty of Science to cultivate and promote foundational and applied research in Data Science.
The Senior Lecturer in Data Science will; (i) conduct research in this specialized field and align, where possible, with the existing research strengths in the School; (ii) contribute actively to the School’s teaching activities in Data Science and Statistics across a range of undergraduate and postgraduate courses, including online teaching; (iii) engage with the community and industry to build links in Data Science.
Women and candidates from diverse backgrounds are particularly encouraged to apply.
About the role
- $132k – $152k – plus 17% Superannuation and leave loading
- Fixed Term – 5 years CTT (Convertible Tenure Track)
- Full-time (35 hours per week)
The Senior Lecturer reports to the Head of School via the Head of Department.
Specific responsibilities for this role include
- Actively carry out research in Data Science, Mathematics 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
- Supervise Honours and Masters Course Work projects; and supervise PhD and Masters Research students
- Teach data science, mathematics, and statistics courses to a range of audiences at the University
- Teach specialist Honours and Masters level courses
- 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
- Significant role in research projects including, where appropriate, leadership of a research team
- Perform senior administrative duties as specified by the Head of Department or Head of School
- Assume a major role in planning or committee work
About the successful applicant
- PhD or equivalent qualification in relevant mathematics sciences
- Demonstrated research ability in Data Science, Mathematics and Statistics
- Demonstrated ability to conduct research with other researchers in the School
- Evidence of effective teaching experience
- Evidence of research group collaborations
- Capacity to conduct productive research at an international level
- 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
- A substantial record of publications in top, peer-reviewed journals
- Evidence of supervision of PhD students
- Strong dedication to independent research and research leadership
- Demonstrated record of competitive external research funding
- 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 more information and to apply, click here.