Upcoming maths jobs @UniSA

The University of South Australia will shortly advertise two new continuing positions in the mathematical sciences. The positions will be advertised at Level A/B, and will be teaching/research or teaching-intensive, with at least one to be a teaching/research position. The areas of specialisation are likely to include optimisation, statistics, data analytics, and classical applied mathematical modelling. At least one of the successful applicants will be female or gender-diverse, and the hiring process will not conclude until this goal has been met. The initial closing date will be at least six weeks after the positions are advertised, and applications will remain open after that if necessary. There will be flexibility in the starting dates for the successful applicants. Women and gender-diverse people are strongly encouraged to apply, as are early-career researchers, recent PhD graduates and PhD students nearing completion.

Research Fellow in Optimisation and Operations Research@Curtin

Closing date: 21 June 2022
Campus: Curtin University, Perth; Curtin Centre for Optimisation and Decision Science
Remuneration: $91,431 – $125,937 p.a. +17% superannuation
Status: Fixed-term full-time research position (4 years)

The Curtin Centre for Optimisation and Decision Science contains 13 full-time staff who specialise in the optimisation and control of complex systems. To continue its growth trajectory, the Centre is seeking a new postdoctoral researcher or senior research fellow to work on demand-driven research projects, conduct high-quality research in mathematical optimisation and operations research, and help drive research funding opportunities. This is a research-focused position reporting to the centre director. The successful candidate will be provided with career development and mentoring opportunities as part of a young, dynamic group in optimisation. The position will suit specialists in operations research and mathematical optimisation, as well as computational mathematicians who are interested in pursuing a demand-driven research pathway.

The Curtin Centre for Optimisation and Decision Science is part of the School of Electrical Engineering, Computing, and Mathematical Sciences, which brings together Curtin University’s expertise in data science, artificial intelligence, and digital technologies. Other major collaborative ventures in the school include the Optus-Curtin Centre of Excellence in Artificial Intelligence, the ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Cisco Centre for Networks, and the Curtin Institute for Computation.

In this role you will:

• Work on optimisation research projects with industry and government partners
• Participate in proposals for research funding and professional consultancy
• Conduct high-quality scholarly research in optimisation and operations research
• Work in partnership with industry and government to translate research findings into real-world impact and commercialisation opportunities
• Supervise and mentor PhD and honours students
• Disseminate research findings through publications in peer-reviewed international journals and through seminars, workshops, and conferences

Why choose Curtin?

• Young, vibrant university that is ranked in the top 300 universities worldwide according to the Academic Ranking of World Universities and QS World University Rankings
• New research centre in optimisation, with external collaborations across all sectors of the economy, including mining, energy, agriculture, defence, and manufacturing
• Balanced university where both fundamental and applied research are valued
• Easily accessible campus with gym, childcare, wellness programs, and medical and counselling services
• Flexible working arrangements
• Located in Perth, the world’s sixth most liveable city according to the 2021 Global Liveability Index by the Economist Group
• Excellent maternity leave arrangements
• One of Australia’s Inclusive Employers for 2019-2020 by the Diversity Council of Australia

For further information on Curtin’s employee benefits visit https://about.curtin.edu.au/

We are looking for someone with:

• A doctoral qualification in mathematics or a related area
• A track record of publications in high-quality international journals in optimisation, operations research, or computational mathematics
• A strong theoretical background in computational algorithms, preferably advanced techniques in integer programming and combinatorial optimisation
• Excellent computing skills and experience working with relevant programming languages and platforms such as Julia, Python, and AIMMS
• Excellent written and verbal communication skills, with the ability to explain mathematical concepts to a non-technical audience
• Interest in demand-driven research, consulting, and research commercialisation
• The ability to translate high-level, loosely defined business challenges into precise problem statements that can be tackled using optimisation techniques

Next steps

To apply, please complete the online application form via this link, noting we cannot accept resumes sent to the below email address.

Please provide a cover letter and resume as well as sufficient information and examples relating to the relevant selection criteria (outlined above) to allow us to assess your suitability for the role.

Contact details

If you have any further queries regarding the role, please contact Professor Ryan Loxton, Director, Curtin Centre for Optimisation and Decision Science, r.loxton@curtin.edu.au.

If you have a query in relation to the application process, please contact our careers team on curtincareers@curtin.edu.au.

For more information, please click this link.

Postdoc/Associate (Nonlinear PDE)@Sydney

Closing date: 3 July 2022
Campus: University of Sydney, Camperdown Campus; School of Mathematics and Statistics
Remuneration: Level A: Base Salary $95K–$98K p.a. +17% superannuation
Status: Full time 12 months fixed term (with a possible extension)

Do you want to be part of a vibrant and collegial community of world-class mathematicians and statisticians? Applications are invited for a postdoctoral position on the project “Singular solutions for nonlinear elliptic and parabolic equations”, held by Associate Professor Florica Cirstea, (University of Sydney) and Professor Yihong Du (University of New England). This project has recently been funded by the Australian Research Council.

The successful candidate will be expected to carry out collaborative research on this project and we are looking for someone with background in nonlinear partial differential equations with isolated / boundary singularities. The project will focus on the local / global behaviour of singular solutions for general classes of elliptic / parabolic equations with nonlinear source term, along with the existence and classification of the singular behaviour for nonlinear elliptic equations with boundary singularities.
Teaching is not a requirement however opportunities to teach may be available if desired.

The School of Mathematics and Statistics of the University of Sydney is one of the largest in Australia. It has more than 89 academic staff to supervise research and teaching 74 postgraduate students and 925 equivalent full-time student-load undergraduate students.

Your key responsibilities will be to:

• undertake research in the area of the project
• publish research papers
• demonstrate research excellence
• assist with grant writing and publishing original work.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has:

• a PhD (or near completion) in Mathematics with preference in Partial Differential Equations
• proven published research as sole author or in collaboration
• experience in research record keeping, preparation of research papers and seminars
• the ability to carry out high quality research in the areas of nonlinear analysis and partial differential equations
• a background in elliptic / parabolic equations / fully nonlinear partial differential equations
• a demonstrated ability to conduct high-quality research under limited supervision either independently or as part of a research team
• high level of interpersonal skills, including the ability to work collaboratively with colleagues
• a demonstrated ability to complete work in timely fashion and to write up results for publication
• excellent written and verbal communication skills.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Closing date for applications: 11.59pm, Wednesday 15 June 2022

Please click here to apply.

Senior Lecturer in Applied Mathematics (Newcastle)

Closing date: 16 June 2022
Campus: The University of Newcastle; School of Engineering
Remuneration: $126,446 FTE + 17% superannuation
Status: Permanent

The School of Information and Physical Sciences at the University of Newcastle (Australia) has an open position in Applied Mathematics at Level C (Senior Lecturer).

More details can be found here: https://www.timeshighereducation.com/unijobs/listing/294232/senior-lecturer-in-applied-mathematics/

Senior Lecturer or Lecturer (Statistics)@ANU

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

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

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

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

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

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.