Lecturer/Senior Lecturer in Statistical Data Science @QUT

Closing date: 28 November 2022
Campus: School of Mathematical Sciences, Faculty of Science, Queensland University of Technology, Gardens Point
Remuneration: Level B / Level C
Status: Ongoing
Reference: 221165

The School of Mathematical Sciences at QUT is recruiting an ongoing staff member to provide strategic capacity in Statistical or Mathematical focused research and learning and teaching within the discipline of Data Science. The position will be offered at Lecturer (Level B) or Senior Lecturer (Level C), depending on experience. These levels correspond to Assistant/Associate Professor positions in North American Universities.
Candidates with expertise in the development of new statistical methods for analysing data will be preferred. Expert knowledge and practical experience with statistical machine learning are desirable. Applications from other areas of statistical or mathematical data science are welcome.
The successful candidate will focus their teaching on providing high-quality learning experiences in QUT’s Bachelor of Mathematics (including majors in Applied and Computational Mathematics, Statistics and Operations Research) and Bachelor of Mathematics (Honours), Bachelor of Data Science, Master of Data Analytics, and to students in related disciplines such as engineering, and the natural and health sciences.

For further information about the position and a copy of the Position Description please go to QUT Career: see Job Ref 221165.

Lecturer or Senior Lecturer in Mathematics @Adelaide

Location: School of Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: 3-year appointment (convertible)
Remuneration: Level B ($102,952–$121,779) or Level C ($125,537–$144,368) + 17% superannuation
Closing Date: 28 October 2022

Fixed term position for 3 years, convertible to continuing, subject to performance and funding availability.

Flexible work arrangements can be negotiated with the right candidate.

The School of Mathematical Sciences is seeking an outstanding individual, passionate about teaching, to support Haide College, its joint venture with Ocean University in Qingdao, China. In this education-focused role, you will be responsible for the delivery of a range of courses at all levels of the undergraduate mathematics curriculum with an emphasis on applied mathematics, statistics and data science. You will lead the implementation of innovative delivery modes through a combination of online teaching and regular teaching visits to China, to provide a global education for students in the joint program.

The Faculty of Sciences, Engineering and Technology aims to increase the diversity of its staff. Applications from women are particularly encouraged.

How to apply

Learn more about this position and apply: click here.

Lecturer/Senior Lecturer in Data Analytics @Waikato, NZ

Location: School of Computing and Mathematics Sciences, University of Waikato, New Zealand
Employment Type: Continuing
Vacancy Number: 420379
Remuneration: Lecturer: $80,837 to $97,051 per year; Senior Lecturer: $99,780 to $130,902 per year
Closing Date: 20 September 2022

The School of Computing and Mathematical Sciences comprises a number of Academic Programmes including, Mathematics, Statistics/Data Analytics, Computer Science, Software Engineering and Design. The School offers a range of qualifications at undergraduate, post-graduate and professional training levels.
The Division of Health, Engineering, Computing and Science (HECS) undertakes teaching and research in a range of core disciplines grouped under four academic schools. The Division also has several research units, and commercial/equipment units which embody staff and research activities.

Who are you?

You will have a PhD or Masters qualification in Statistics, Data Analytics or a relevant discipline area. This will be supported by your broad and in-depth knowledge of the following areas: Data Analytics and Statistics, the use of Statistics in other Science disciplines and a demonstrated high standard of tertiary level mathematics. Your expertise and interests will be reflected in an established record of quality published research or equivalent at national and preferably international level, with the potential to attract external research funding.
You will have demonstrated success in undergraduate teaching. You will bring your proven ability to communicate effectively with students and staff, along with your commitment to innovative teaching methods.

About the role:

This is an immense opportunity to be part of building a data analytics group that is vibrant, collaborative and with real capacity to provide outstanding teaching across the university, as well as to service the needs of both University-wide research projects and external partners. In the last 12 months alone, there has been a rapid increase in the number of cross-disciplinary research projects between data analytics staff and the rest of the University. This is an exciting time to join us – the market trends in data analysis mean our group is in a place of huge potential.

The role requires your expert knowledge of Data Analytics, applied as a Lecturer or Senior Lecturer or Teaching Fellow. The four pillars of the role require:
• Teaching and Learning: Preparing and delivering innovative, research-informed lectures and the assessment of that learning
• Supervision: Supervise honours, graduate and postgraduate students
• Research: Build and maintain an active research programme and conduct quality research and contribute to knowledge development of your specialist areas through scholarship and publication
• Service and Administration: Carry out administration and service relevant to the role.

Why should you apply for this position?

You can be part of our success! Our University provides a unique and satisfying work environment with many benefits for our staff including flexible working, study opportunities, generous superannuation and leave provisions. We stand proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths.

At Te Whare Wānanga o Waikato, the University of Waikato, we embrace equity and diversity; therefore, we strongly encourage applicants with the relevant capabilities from all backgrounds to apply. We would greatly value seeing applicants from our Māori and Pacific communities.

For a confidential conversation about the role, please contact Annika Hinze,

Learn more about this position and apply:

Lecturer/Senior Lecturer in Mathematics @Adelaide

Location: School of Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B/C
Duration: 3-year appointment
Remuneration: $100,933–$119,391 p.a. + 17% superannuation (Level B); $123,075–$141,537 p.a. + 17% superannuation (Level C)
Closing Date: 21 August 2022

Three-year fixed term position available from 1 January 2023. On conclusion of the three-year term, the position may be converted to a continuing position under the provisions of the University’s Enterprise Agreement.

The University of Adelaide is growing the statistics, data science, and stochastic modelling team in the School of Mathematical Sciences. This is an opportunity for a highly motivated researcher and committed educator to join a School that is a leader in pedagogical innovation and received the highest possible rating of research quality in the mathematical sciences overall and in each of its disciplines in the two most recent ERA assessments.

The School has identified data science, broadly construed, as one of its strategic priorities. We are seeking an enthusiastic colleague to work with us to expand our research and educational offerings in statistics, data science, and stochastic modelling. Willingness to engage with industry would be an asset.

The School is strongly committed to increasing the diversity of its staff and students. The available position is directed at applicants who are able to contribute to the diversity of the School community.

How to apply

Learn more about this position and apply: