Senior Lecturer or Lecturer (Statistics)@ANU

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Closing date: 8 May 2022
Campus: Australian National University; Department of Statistics, RSFAS
Remuneration: $103,841–$138,583 per annum plus 17% superannuation + Competitive Market Loading
Status: Full time, continuing

The Research School of Finance, Actuarial Studies and Statistics (RSFAS) invites applications for a full-time position in Statistics at the Lecturer or Senior Lecturer level. More information about the Statistics group can be found here: https://rsfas.anu.edu.au/academic-areas/statistics.

The successful applicant will demonstrate the ability to deliver an excellent education experience to students and the ability to produce high quality research. The RSFAS will provide exceptional research support to enable the successful applicant to achieve their full research potential, including a world-class suite of database subscriptions, excellent seminar series and visitor program, and generous support for travel.

The ANU College of Business and Economics educates the next generation of business leaders, professional economists and academics. Our graduates have the knowledge and skills to lead organisations, design public policy, and research the big issues of business and economy. Located in the national capital, we engage deeply with the business and policy communities. Our academics lead public debate on the critical issues of our time through their research, which is both long-term and strategic in focus. Our internationally diverse student body is evenly divided between undergraduate and postgraduate study, and we have a large doctoral program. Our alumni may be found in the world’s leading companies, policy agencies and universities.

We strongly believe that the way in which we operate is defined by our Values and Behaviours and encourage you to apply if you are looking for a workplace that encourages respect, collegiality and excellence.

ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion.

For further information on this role, consult this page.

Lecturer in Mathematical Finance@Oxford

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Mathematical Institute
University of Oxford

Closing Date: 9th May 2022

Status: Permanent

The Mathematical Institute, University of Oxford, is seeking to appoint to a newly-created, permanent, full-time Departmental Lecturer position in Mathematical and Computational Finance from 1st September 2022 or as soon as possible thereafter. The successful candidate will be based at our stunning Andrew Wiles Building in central Oxford.

As Departmental Lecturer, you will make an important contribution to the teaching, research and administration of the Mathematical and Computational Finance Group and wider department. You will have the opportunity to engage in a broad range of activities including advanced study and academic research in the area of Mathematical and Computational Finance, lecturing and teaching (principally but not exclusively) graduate students, and leading independent research projects or specific areas of research within a broad programme.

With a doctorate in mathematics or a closely related subject, the successful candidate will be able to demonstrate a proven ability and/or potential to carry out high quality independent research at an international level in Mathematical and Computational Finance and to attract research funding, alongside effective teaching skills, including the interpersonal skills necessary for undertaking small-group teaching and the supervision and pastoral care of students. They will also be able to show evidence (commensurate with career stage) of an excellent track record in attracting research grants and of supervising research students, together with experience and competence in administration.

This post is a Permanent position.

For more information and to apply, click here.

Senior Lecturer or Lecturer (Statistics)@USQ

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Closing date: 8 May 2022
Campus: University of Southern Queensland; School of Mathematics, Physics and Computing
Remuneration: Level B: Total remuneration range $117,060 to $138,361 pa (includes salary range of $98,910 to $116,908 pa, employer superannuation contributions of 17% of salary and annual leave loading) OR Level C: Total remuneration range $142,618 to $163,918 pa (includes salary range of $120,505 to $138,503 pa, employer superannuation contributions of 17% of salary and annual leave loading)
Status: Full-time continuing appointment

The University of Southern Queensland has forged a reputation as Australia’s leading regional University, recognised in particular for our outstanding performance in graduate employment, student support and social equity, and dedication to undertaking world-leading research.

The School of Mathematics, Physics and Computing offers contemporary and innovative programs that support our students to be industry-ready for successful careers. The School is a leader in practice-based learning and applied research in a range of science related disciplines relevant to many of today’s professions.

For more information on the School and the exciting developments within the new programs, visit us at School of Mathematics, Physics and Computing.

What you’ll do:

  • Course curriculum design and teaching pedagogy within the area of Statistics including Introductory Statistics, Mathematical Statistics, Statistical Models, and Multivariate Statistics;
  • Deliver engaged and reflective approaches to scholarly teaching which produce the best outcomes for students taking diverse statistics courses;
  • Develop quality assessments in line with USQ’s assessment procedures and contribute to the marking of written and practical assessments;
  • Supervise honours and postgraduate students in both course work and research projects;
  • Provide, as part of the Statistics Consulting Unit (SCU), statistical support to HDR students and other researchers at USQ; and
  • Engage in research activities including contributing to USQ’s priority areas of health, agriculture, space and defence, and regional development.

What will help you succeed?

Key to your success in this role will be your strong interpersonal and team-work skills, combined with your proven ability to work effectively in a team. In addition, you will have:

  • a PhD in Statistics or a postgraduate degree in Statistics or Applied Statistics or a closely related discipline with appropriate industry experience;
  • evidence of high-quality tertiary teaching experience, leadership and productivity, including course and program coordination in diverse statistics courses;
  • experience in the use of statistical packages such as SPSS and R; and
  • a track record of research that provides an opportunity to advance knowledge and engage with industry including the application of statistics in health, environment, agriculture, space and defence, business and social sciences.

For further information on this role, please contact Associate Professor Linda Galligan, Head of School (Mathematics, Physics and Computing) on +61 7 4631 2263 or HES-HoS-MPC@usq.edu.au, or see this page.

Research Fellow (Level A/B) Mathematical Decision Science@QUT

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Closing date: 2 May 2022
Campus: Gardens Point
Remuneration: Total remuneration range: $83,894 to $113,836 pa (Level A) (inclusive of $70,891 to $96,193 pa salary, 17% superannuation and 17.5% recreation leave loading) OR $119,829 to $142,312 pa (Level B) (inclusive of $101,257 to $120,255 pa salary, 17% superannuation and 17.5% recreation leave loading)
Status: Fixed-term, full-time basis for 2 years

This exciting role is part of the ARC SRI Securing Antarctica’s Environmental Future (SAEF) a leading international research program in Antarctic science and policy. The Research Fellow will develop quantitative methods and approaches for applying Value-Of-Information thinking and theories for Antarctic biodiversity conservation planning. The successful candidate will be responsible for leading their own research in this space to serve the broader goals of SAEF and the modelling team based at QUT. This may include theoretical, methodological, and/or quantitative applied research.

For more information or to apply, see this page.