Lecturer/Senior Lecturer in Applied Mathematics @Sydney

Closing date: Thursday 12 January 2023; 11:59pm
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Remuneration: Base Salary Level B/C, $113,184 – $159,867 + 17% superannuation
Status: Full time continuing opportunity.
Reference: 0098923

About the opportunity

The University of Sydney is welcoming applications for a Lecturer (B) /Senior Lecturer (C) in Applied Mathematics to join leading experts at the School of Mathematics and Statistics, within the Faculty of Science. We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia assessment to date.

As a Lecturer/Senior Lecturer in Applied Mathematics you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. We are welcoming applicants from different research backgrounds who can bring their own research agenda, complementing the Schools’ current research foci, whilst benefiting from our supportive community of world-class mathematicians and statisticians. Applicants with expertise in computational Mathematics or optimization are particularly encouraged to apply.

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 Lecturer/Senior Lecturer who has:

• a PhD in Applied Mathematics, Mathematics, Statistics, Data Science, or related areas
• evidence of independent research ability
• evidence of ability, versatility and commitment to excellence in undergraduate teaching
• experience supervising research students
• a developing network of relationships with key academic, industry, and professional institutions, partners and stakeholders
• experience in supervising or mentoring others and/or coordinating team activities
• a developing knowledge and understanding of the key strategic issues in the discipline and higher education sector

For appointment at Level C, we would like to see evidence of:
• experience supervising students at postgraduate level
• experience lecturing applied mathematics, pure mathematics, statistics, or data science
• significant contribution to research and practice in the discipline, compatible with Senior Lecturer standards at The University of Sydney

To apply for this role, please submit the below three documents in addition to your CV, in support of your application:

  1. cover letter outlining your suitability for this position and indicating whether you are applying for this role at a Lecturer or Senior Lecturer level.
  2. research statement, with a focus on where you see your research in 5 years
  3. teaching statement, with a focus on approaches you utilize for effective teaching in small and large class sizes

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

For more information and to apply:

© The University of Sydney
The University reserves the right not to proceed with any appointment.

Lecturer/Senior Lecturer in Mathematics, Statistics or Mathematical Data Science @UQueensland

Closing date: 19 January 2021
Campus: The School of Mathematics and Physics, University of Queensland
Remuneration: Level B / Level C
Status: Ongoing

The School of Mathematics and Physics seeks to recruit a total of four women (two in mathematics and two in physics) to continuing teaching and research positions at Academic Level B/C. The positions are open to women and those who identify as women. This recruitment strategy is aimed at continuing to improve the diversity of the School’s academic staff, and to demonstrate its commitment to gender equity. The appointees to the two mathematics positions will have a developed research program in an area of mathematics, statistics and mathematical data science that complements or supplements the School’s research strengths. The appointees will engage in undergraduate and postgraduate teaching and curriculum development in mathematics, including service courses. The appointees will also supervise Higher Degree by Research, postgraduate coursework and Honours students, conduct high-quality research, and perform administrative, outreach and other engagement activities associated with the School.

Please view the Candidate Information Booklet for the key responsibilities.

About the School of Mathematics and Physics

The School of Mathematics and Physics (SMP) sits within the Faculty of Science. It is one of the largest Schools at The University of Queensland (UQ). Its strengths lie in delivering high-quality teaching, conducting research that is recognised at national and international levels, and contributing to society through its engagement with industry, government and the broader community. It is a multidisciplinary School that pursues excellence across all of its academic endeavours.

SMP provides a family-friendly workplace and offers a number of flexible work options to help staff balance their responsibilities at work and at home. It holds the Silver Pleiades Award of the Astronomical Society of Australia demonstrating a sustained record of monitoring and improving the working environment. It is the sole Australian organisation participating in the American Physical Society’s Inclusion, Diversity, and Equity Alliance (APS-IDEA) Network. Further information can be found here.

SMP has sustained success in attracting research funding, particularly in Australian Research Council funding, annually winning significant numbers of Discovery Projects and a range of fellowships. In addition, the School has had considerable Centre of Excellence (CoEs) success, hosting the lead node for two CoEs in the period 2013-2022 and with staff being chief investigators in a further seven CoEs in that period. The School’s research excellence is also evidenced by its performance in the most recent (2018) Excellence in Researchfor Australia (ERA) assessments, achieving ratings of 5 in both 2-digit fields of research (FoR), Mathematical Sciences and Physical Sciences, as well as in the 4-digit FoRs Pure Mathematics, Applied Mathematics, Statistics, Astronomical and Space Sciences, Condensed Matter Physics, Quantum Physics and Optical Physics, and also received a rating of 4 (above world standard) in Mathematical Physics, no rating of 5 (well above world standard) being awarded for any Australian institution in this FoR.

SMP is the leading provider of tertiary mathematics and physics education in Queensland. The School teaches a comprehensive undergraduate program in science, mathematics, statistics, and physics, as well as performing service teaching for students of engineering and the life sciences. There is also an extensive postgraduate research program, which has more than 100 Research Higher Degree students currently enrolled in the School. Undergraduate programs offered include BSc, BMath, BA (each with an Honours year) and BAdvSci; coursework postgraduate degrees (MSc, MFinMath, MDataSc, MQTech, MCyberSec, MBusAn) and research degrees (MPhil and PhD) are offered at postgraduate level. Staff in the School are highly recognised for their excellence in teaching and learning and have received a range of university and national teaching awards and citations, Higher Education Academy United Kingdom Fellowships, and significant Office of Learning and Teaching grants.

Engagement with national discipline-related bodies, societies, and institutes is also important to SMP, and the School maintains ongoing collaboration with the Australian Institute of Physics (AIP), the Australian Mathematical Society (AustMS), the Statistical Society of Australia (SSA), the Australian Mathematical Sciences Institute (AMSI) and the Mathematical Research Institute, MATRIX.

There are a total of 134 full-time academic staff members in the School, and 18 professional School staff who provide professional, technical and administrative support.

Further details of the School’s achievement and the teaching and research interests of academic staff may be accessed on the School’s web site at

About You

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/ or continue to impact their career trajectory. Candidates who may not meet all the selection criteria are strongly encouraged to apply for and demonstrate their potential in the role, even if certain selection criteria can’t be met. Candidates may also wish to proactively outline any barriers or challenges which have impacted their career. The selection panel will consider both your potential and any performance relative to opportunity when assessing your suitability for this role.

Applicants should possess a PhD or equivalent in a relevant field such as mathematics, statistics, or mathematical data science. Additionally, you will demonstrate:
Level B (Lecturer):
• A growing profile of contributions towards a range of teaching responsibilities, including designing effective learning materials and assessment tasks, using effective teaching and learning approaches, coordinating courses and participating in a range of student experiences.
• Evidence of participation in education collaborations and professional learning in teaching.
• A developing national profile in research in the discipline area, evidence for which can include: a track record of publications in reputed refereed journals and conference presentations; a contribution to the transfer of knowledge, technology and practices to research end users; and the development of partnerships with research end users or external collaborators.
• Evidence of contributing to and sometimes leading applications for external research funding.
• A growing record of effective supervision of Honours and Higher Degree by Research students, evidence for which can include: supervisory role contributing to successful completion of Honours or RHD students; development of supervisee capabilities and skills; demonstrating the responsible conduct of research; and facilitating engagement opportunities for supervisees.
• Evidence of effective performance in internal service roles in conjunction with active contributions to external activities.
Level C (Senior Lecturer):
• An established profile of effective contributions towards a range of teaching responsibilities, including improving curriculum design and assessment practices, modifying teaching and learning approaches to achieve enhanced learning outcomes, and leading courses, discipline plans or programs.
• Evidence of building and maintaining education collaborations and undertaking professional learning in teaching.
• National recognition, with a developing international profile, in research in the discipline area, evidence for which can include: an established record of publications in reputed refereed journal and conference presentations; a contribution to the transfer of knowledge, technology and practices to research end users, and the development of partnerships with research end users or external collaborators.
• Evidence of contributing to and often leading successful applications for external research funding.
• An established record of effective supervision of Honours and Higher Degree by Research students to successful completion, evidence for which can include: supervisory role contributing to successful completion of Honours or RHD students; developing supervisee capabilities and skills, leading others in the responsible conduct of research, and facilitating engagement opportunities for supervisees.
• Demonstrated achievement and initiative in internal service roles in conjunction with an established record in external activities.
Further information about the position, discipline area and selection criteria can be found within the booklet below.

What We Can Offer

This is a full-time (100% FTE) continuing position at Academic Level B or Level C, commensurate with relevant skills and qualifications.

Academic Level B full-time equivalent base salary will be in the range of $101,533 – $120,570 plus super of up to 17%. The total FTE package will be in the range $118,794 – $141,067 p.a.

Academic Level C full-time equivalent base salary will be in the range $124,378 – $143,415 plus super of up to 17%. The total FTE package will be in the range $145,523 – $167,796 p.a.

The following flexible employment options may be available for this role :  Part time/job share; some working from home; variable start or finish times; compressed hours. 

For further information about UQ’s benefits, please visit Why Work at UQ and review The University of Queensland’s Enterprise Bargaining Agreement 2018–2021.

Want to Apply?

To discuss this role please contact Professor Jorgen Rasmussen via

For application queries, please contact stating the job reference number in the subject line.

All applicants must upload the following documents in order for their application to be considered:
• An outline of their research program.
• Resume
• Cover letter addressing (1) the selection criteria, and (2) identifying how their research complements and supplements the research of staff in the School and/or the broader university, including details of possible collaborations.

Please note that you will be asked to add all documents into the one upload box labelled ‘resume’, which is step one of the application form.

About the Selection Process

Please note that seminars, mock lectures, and interviews have been scheduled for late January/early February 2023.

As part of the Selection Process, applicants shortlisted for interview will be required to present a seminar and a mock lecture to members of the school community prior to their scheduled interview. Research seminars and lecture topics will be provided with adequate notice to shortlisted candidates. The research seminar will be for 40 minutes plus 5–10 minutes of questions and a mock lecture will be for 25 minutes, plus questions.

The University of Queensland is committed to ensuring all candidates are provided with the opportunity to attend the panel interviews, however, for those candidates who are unable to attend in person, video interview options will be available.

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Careers portal by the job closing deadline or will not be accepted.

Other Information

Sponsorship: Visa sponsorship may be available for this appointment.

At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion. We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in our broader community, whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Accessibility requirements and/or adjustments can be directed to

If you are a current employee of the University, or hold an unpaid or affiliate appointment with the University, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.

Links for application/more information

For candidates to apply, they will need to please visit and search R-19649.

Included in the advert is also a candidate information booklet with more detailed information on the role.

Lecturer/Senior Lecturer in Applied and Computational Mathematics@Monash

The School of Mathematics at Monash University invites applications for the position of Lecturer/Senior Lecturer in Applied and Computational Mathematics. The School is a research leader with a strong international reputation in Pure Mathematics, Statistics, Mathematical Finance, and 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 expertise in numerical and computational mathematics, an area that the School is actively looking to grow. To be considered, you will have a PhD in mathematics or a related area, a proven ability to perform independent research, and a strong commitment to teaching and supervising of research students.

This role is a full-time position; however, flexible working arrangements may be negotiated.

We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities and age groups.

Join us in our commitment to ensuring a better future for ourselves and for the communities in which we study, work, live and engage – #ChangeIt with us.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.

Your application must address the selection criteria. Applications must be made via the Monash website.

Closing Date
Monday 15 January 2023, 11:55pm AEST

For more information or to apply please see here.

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: