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.

Research Fellow – Numerical Analysis@Monash

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The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on a project in Numerical Analysis of PDEs. The role will involve collaborative work with Computer Scientists and Mathematical Biologists.

Job No.: 628753

Location: Clayton campus, Monash University

Employment Type: Full-time

Duration: 2-year fixed-term appointment

The successful candidate will conduct theoretical analysis and perform efficient implementation for novel discretisation techniques applied to the numerical solution of partial differential equations, under the guidance of Associate Professor Ricardo Ruiz Baier. In particular, the intended project is related to the simulation of the coupling between diffusion of intracellular calcium and elasticity in different types of cells (embryonic epithelial, cardiomyocytes, and other single cells or cell compounds), using virtual element methods or other schemes based on polytopal meshes.

Applicants must have a PhD in Applied Mathematics, Numerical Analysis, Scientific Computing, or a related field. It is also expected that they have a sound knowledge and experience in the analysis and implementation of virtual element schemes and/or mixed finite element methods, as well as some knowledge about solid mechanics.

Depending on the experience level of the candidate, this role may be filled at Level A or Level B. Please refer to the position description for different levels.

Closing Date
Thursday 28 April 2022, 11:55pm AEST

For more information or to apply please see here.

Research Fellow – Scientific Computing and Numerical Analysis@Monash

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The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on a project in Scientific Computing and Numerical Analysis for partial differential equations (PDEs).

Job No.: 628752

Location: Clayton campus, Monash University

Employment Type: Full-time

Duration: 2-year fixed-term appointment

The successful candidate will work on novel numerical approximations of PDEs under the guidance of Professor Santiago Badia. Current research lines include: neural network-based nonlinear discretisation of PDEs and their combination with other advanced (unfitted and hybridised) techniques; machine learning for PDE-constrained inverse problems, data assimilation, and nonlinear preconditioning. Current applications of this research include sea water intrusion, heart modelling and bushfire propagation. This research is supported by the Australian Research Council through two recent Discovery Projects and a Monash Data Futures Institute Project.

Applicants must have a PhD in Mathematics, Physics or Engineering, with a strong background in numerical methods for PDEs using finite element methods and/or related techniques. Background in the mathematical foundations of machine learning will be highly appreciated.

Depending on the experience level of the candidate, this role may be filled at Level A or Level B. Please refer to the position description for different levels.

Closing Date
Thursday 28 April 2022, 11:55pm AEST

For more information or to apply please see here.

Lecturer in Applied Mathematics@UNSW (2 positions)

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Salary Package: Lecturer (Level B), $111K–$131K plus 17% superannuation and annual leave loading.
• Full-time, 5 years convertible/tenure track.
• School of Mathematics and Statistics, Department of Applied Mathematics, UNSW

Applications Close: 26/04/2022

We are looking for academics who align with the research directions in the Department and contribute actively to the School’s teaching activities across a range of undergraduate and postgraduate courses. The Department of Applied Mathematics has particular research strengths in Mathematical Modelling and Biomathematics, Computational Mathematics, Dynamical Systems and Integrability, Geophysical Fluid Dynamics, Nonlinear Phenomena, Optimisation, Fractional Calculus, and Stochastic Modelling.

For more information or to apply please see here.

Lecturer/Senior Lecturer in Applied and Computational Mathematics@Monash

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The School of Mathematics at Monash University invites applications for the position of Lecturer/Senior Lecturer in Applied and Computational Mathematics.

Candidates will be expected to have an outstanding research record and help our drive for excellence across the School. Exceptional candidates in any area of applied and computational mathematics will be considered. Of particular interest are candidates with an expertise in numerical and computational mathematics, or a connection with AI and Data Science research.

Applications must address the selection criteria and be submitted via the Monash website.  To be considered you will have a PhD in mathematics or a related area, proven ability to perform independent research, and a strong commitment to teaching and the supervision of research students.

The School of Mathematics aims at increasing the representation of women in its academic ranks.
Applications from qualified female candidates are especially encouraged.

Closing Date
Thursday 28 April 2022, 11:55pm AEST

For more information or to apply please see here.

Lecturer/Senior Lecturer in Algebra@Monash

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The School of Mathematics at Monash University invites applications for the position of Lecturer/Senior Lecturer in Algebra.

Candidates will be expected to have an outstanding research record and help our drive for excellence across the School. Exceptional candidates in any area of algebra (interpreted broadly) will be considered. Research areas in algebra that are of specific interest include group theory, representation theory, computational algebra, Lie theory, and algebraic aspects of topology, geometry, graph theory, combinatorics, number theory, dynamical systems, artificial intelligence or data science.

Applications must address the selection criteria and be submitted via the Monash website. To be considered you will have a PhD in mathematics or a related area, proven ability to perform independent research, and a strong commitment to teaching and the supervision of research students.

The School of Mathematics aims at increasing the representation of women in its academic ranks.
Applications from qualified female candidates are especially encouraged.

Closing Date
Thursday 28 April 2022, 11:55pm AEST

For more information or to apply please see here.

Postdoc in Algorithmic Phylogenetics@University of Auckland

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A postdoctoral position is available to work on a project related to algorithmic foundations of phylogenetic networks. Such networks are used to represent and analyse evolutionary relationships between entities such as species, viruses, and cancer cells. A particular focus of the project is the development of new parameterized algorithms and other algorithms with performance guarantee to reconstruct phylogenetic networks from biological data. The position is for 18 months, to commence in early 2023, and fully-funded by a Marsden Fund Grant from the Royal Society of New Zealand Te Apārangi. The successful candidate will be based in the School of Computer Science at the University of Auckland.

Applications will be reviewed starting 15 April 2022 and continue until the position is filled. For more information and application instructions, see here.

Senior Lecturer or Associate Professor or Professor in Applied Mathematics@Macquarie

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Salary Package: Senior Lecturer (Level C), from $132,004 to $151,806 per annum, or Associate Professor (Level D), from $158,533 to $174,378 per annum, or Professor (Level E), from $194,355 to $203,543 per annum, plus 17% employer’s superannuation and annual leave loading.
• Full-time, continuing
• Macquarie University (North Ryde) location

Applications Close: 10/04/2022 11:59 PM

We are looking to appoint an outstanding mathematician who is internationally renowned (if appointed as a Professor) or whose career trajectory is indicating being internationally renowned (if appointed as a Senior Lecturer or Associate Professor) to strategically strengthen our research excellence in one of our current areas of strength, including in analysis of partial differential equations, dynamics, waves and mathematical modelling. The candidate will provide leadership and mentorship within the School for the ongoing development of applied mathematics, leveraging their standing in the field to provide a focal point for the future development of the mathematics discipline at Macquarie University.

For more information or to apply please see here.

Professor in Applied Mathematics (Data Science)@Flinders

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Employment Type: Continuing
Availability: Continuing | Full-Time
Compensation Grade: Academic Level E
Salary Range: $187,708 p.a.

Applications Close: 11:59pm 30 Mar 2022

The Professor in Applied Mathematics (Data Science) will, under broad supervision, provide academic leadership in research, teaching and community engagement in the Mathematics and Data Science domain. The incumbent will use their extensive expertise in mathematics to provide outstanding leadership in the study of Data Science. They will have a track record of grants, either Category 1 or others. 

They will be able and willing to take a strong leadership role with Early Career Researchers and Middle Career Researchers. The Professor will advance the College in its reputation as a centre of excellence in education and research, both nationally and internationally, and advance the development of Mathematics and Data Science.

For further enquires or a confidential conversation regarding this position, please contact: Professor Alistair Rendell

For more information or to apply please see here.