This Job is based in Australia
- 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 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.
In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science, Finance and Risk Analysis, Nonparametric Statistics, Optimisation, Stochastic Analysis, and 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 also represents the Faculty of Science within the UNSW Artificial Intelligence Institute which aims to cultivate and promote foundational and applied research in AI and related areas.
The Lecturer (Level B) in Statistics will conduct research in this specialised field and align, where possible, with the existing research strengths in the School. The role will be expected to contribute actively to the School’s teaching activities in Statistics across a range of undergraduate and postgraduate courses, including online teaching. The role will engage with and build links with the community and industry.
THIS ROLE IS BASED IN SYDNEY, AUSTRALIA.
About The Role
- Level B - $123K - $145K plus 17% Superannuation and annual leave loading
- Continuing
- Full-time (35 hours per week)
The role of Lecturer reports to the Head of Department and has no direct reports.
Specific Responsibilities For This Role Include
- Actively carry out research in the areas of financial mathematics, statistics or data science that aligns with the research strengths in the School, with a view to publication in influential and high-impact scholarly journals.
- Demonstrate and continuously develop a well-defined teaching philosophy that inspires student learning.
- Teach financial mathematics, statistics, data science, and mathematics courses to a range of audiences at the University, including specialist Honours and Masters level courses in line with UNSW policy.
- Design and develop learning activities and resources and provide assessment and feedback using a range of suitable approaches and learning environments.
- Initiate the development of experimental approaches to teaching and learning with the support of more senior academics.
- Support learning progression with students as individuals (through such activities as one-to-one consultation) and as a cohort (through general course related advice) to achieve positive learning and employability outcomes for students.
- Actively disseminate research findings at seminars and conferences within the School, the UNSW environment, nationally and internationally.
- Manage course administration as Course Authority, including academic quality assurance.
- Maintain professional development in pedagogy, disciplinary knowledge and minimum professional accreditation requirements (where relevant).
- Make a positive contribution to School meetings and seminars and be a member of School/Faculty committees as required.
- Engage in individual and/or collaborative research in a manner consistent with disciplinary practice.
- Create scholarly impact which is recognised by peers in the advancement of disciplinary knowledge.
- Conduct research/scholarly activities under limited supervision, either independently or as a member of a team (as per the norms of the discipline) and design research projects.
- Contribute to the development of applications for competitive funding under the guidance of senior colleagues, including participating as co-investigator or chief investigator in competitive grant applications.
- Mentor and guide students and colleagues and develop the next generation of academics through involvement in supervision of HDRs (as per the norms of the discipline).
- Align with and actively demonstrate the Code of Conduct and Values
- 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
(Selection Criteria)
To Be Successful In This Role You Will Have
- PhD or equivalent qualification in financial mathematics, statistics, data science or relevant mathematical sciences.
- Demonstrated research ability in Mathematics or Statistics, which aligns with the research directions in the School.
- Expertise in financial mathematics and related areas (desirable).
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated experience in teaching and learning design, development and delivery at undergraduate and/or postgraduate level.
- Experience using and/or designing with educational technologies and online delivery methods.
- 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).
- Demonstrated knowledge of industry or experience of work-integrated learning (desirable).
- Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity and inclusion initiatives.
- Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- A track record of significant involvement with the profession and/or industry.
- Ability to attract external research funding.
- High level communication skills and ability to network effectively and interact with a diverse range of students and staff.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal and organisational skills
- 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:
Jake Olivier
E: j.olivier@unsw.edu.au
Applications close: March 31st, 2024
Find out more about working at UNSW at www.unsw.edu.au
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.
