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Lecturer in Mathematical Sciences @QUT

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Closing date: 28 November 2022
Campus: School of Mathematical Sciences, Faculty of Science, Queensland University of Technology, Gardens Point
Remuneration: Level B
Status: Ongoing
Reference: 221174

The School of Mathematical Sciences at QUT is committed to a gender-equitable workplace. To advance gender-equity, the School is seeking to improve gender balance among staff by recruiting an ongoing staff member (women only) who is able to provide strategic capacity in both research and learning & teaching within the School in any field of applied or computational mathematics, operations research or statistics. The successful candidate will focus their teaching on providing high-quality learning experiences in QUT’s Bachelor of Mathematics (majors in applied and computational mathematics, statistics and operations research), Bachelor of Mathematics (Honours), Bachelor of Data Science and to students in related disciplines such as engineering, and the natural and health sciences. The appointee’s research interests will ideally align with existing strengths in the School of Mathematical Sciences.

For further information about the position and a copy of the Position Description please go to QUT Careers: see https://www.qut.edu.au/careers Job Ref 221174.

Lecturer/Senior Lecturer in Statistical Data Science @QUT

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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 https://www.qut.edu.au/careers Job Ref 221165.

CTAC 2022QUT

Computational Techniques and Applications Conference (CTAC2022), 29 November to 2 December 2022, QUT (Brisbane)

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The 21st Biennial Computational Techniques and Applications Conference (CTAC2022) will be held at QUT in Brisbane from 29 November to 2 December 2022.

The conference website is: https://www.qut.edu.au/research/ctac-2022.  Registrations will open soon.

CTAC is organised by the special interest group in computational techniques and applications of ANZIAM, the Australian and New Zealand Industrial and Applied Mathematics Division of the Australian Mathematical Society.

The meetings provide an interactive forum for researchers interested in the development and use of computational methods applied to engineering, scientific and other problems. The CTAC meetings have been taking place biennially since 1981, the most recent being held online in 2020 at the University of New South Wales.

Please contact ctac2022@qut.edu.au with any questions or comments related to the conference.

See the information about this event in the AustMS events calendar.