Lecturer - Education Focused - Mathematics & Statistics
About the Role
UNSW's Education Focussed (EF) roles enable academics to specialise in education and devote their time to delivering high-quality teaching and pursuing initiatives to enhance the educational experience of students. The Lecturer - EF (level B) carries out teaching and other scholarly activities associated with mathematics and statistics education in the School.
- Level B - $133K - $156K plus 17% Superannuation and annual leave loading
- Continuing (scheduled start Jan 2027)
- Full-time (35 hours per week)
- Reports to the Head of School and has no direct reports
Responsibilities
- Teach mathematics and statistics courses to a range of audiences at the University as required
- Teach specialist Honours and Masters level courses, if required
- Contribute to the design and delivery of the School's teaching programs and courses
- Actively develop educational resources for mathematics and statistics education, including online materials, exam materials, and lecture notes
- Develop learning and teaching collaborations within the School as well as links with other groups on campus
- Actively contribute to learning and teaching seminars within the School, or more broadly
- Supervise senior undergraduate (Honours) projects and Masters Coursework projects if required
- Actively participate in School activities and demonstrate an ability and willingness to take on administrative 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
- 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
Selection Criteria
- A PhD or equivalent qualification in mathematics or statistics, and/or relevant work experience
- Demonstrated experience in teaching Applied Mathematics, Pure Mathematics, or Statistics
- Evidence of teaching effectiveness and passion for educational excellence (e.g., relevant discipline-based curriculum design and development at a variety of levels and scales)
- Capacity to conduct productive research and/or scholarship related to mathematics and statistics education
- Capacity for, or experience in, student supervision including, e.g., Honours Thesis, Coursework Masters Project, Summer Scholars Project
- Evidence of highly developed interpersonal and organisational skills
- Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity, and inclusion initiatives
- An understanding of and commitment to UNSW's aims, objectives and values in action, together with relevant policies and guidelines
- Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training
About the School
The School of Mathematics and Statistics currently has more than eighty 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 CWTS Leiden, US News and QS. The School embodies a broad range of research interests in the areas of applied and pure mathematics, and statistics.
The School's undergraduate and postgraduate programs cover a wide spectrum of courses in Applied Mathematics, Pure Mathematics, and Statistics, with particular strengths in Algebra, Analysis, Combinatorics, Geometry, Mathematical Physics and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Quantum Mathematics, Biostatistics and Ecology, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Nonparametric Statistics, Fluid Dynamics and Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, Stochastic Modelling, and Fractional Calculus.