Lecturer in Applied Statistics @Curtin

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Closing date: 10 October 2023; 17:00 AWST
Campus: Curtin University; School of Electrical Engineering, Computing and Mathematical Sciences (EECMS)
Remuneration: $110,442 – $130,829 (ALB) per annum, plus 17% superannuation
Status: 3-year fixed term
Job Reference: 1099002

A new role for a statistician to teach data science and contribute to research programs in applied/industrial statistics.

The School of Electrical Engineering, Computing, and Mathematical Sciences (EECMS) combines computational expertise in mathematics, statistics, and computing with applications in materials science, quantum physics, signal processing, and astronomy. EECMS contains several major research centres and institutes including the Curtin Institute for Computation, the Curtin Centre for Optimisation and Decision Science, the Curtin Institute for Radio Astronomy, and the Optus-Curtin Centre of Excellence in Artificial Intelligence. These centres lead significant research and development programs with industry and government partners across the mining, energy, agriculture, and defence sectors. EECMS offers an accredited actuarial science course, one of only seven in Australia and the only one in Western Australia, with a strong focus on applied statistics and data analytics.

Your new role

This role is part of the Mathematics and Statistics discipline of EECMS.

As a lecturer in Applied Statistics, you will play a major role in teaching undergraduate and postgraduate courses in data science, statistics, and actuarial science, as well as supervising student research projects at undergraduate, masters, and PhD levels. You will contribute to developing the data science courses at Curtin and building relationships with partner universities and international campuses. Your teaching will be underpinned by an active demand-driven research program with industry and government that drives real-world impact and inspires students.

This position will contribute to EECMS’s priority areas of mining/resources and defence through applied research in data science and statistics. EECMS already has several large-scale collaborative research and development programs underway in these areas. There is significant potential to expand existing work and develop new opportunities through Curtin University’s Trailblazer program in critical minerals and resources technology (which provides $50 million in federal government funding to support commercialisation and demand-driven research with industry), and the Australian defence force’s recently-announced AUKUS submarine program (which will involve establishing a nuclear submarine base in Western Australia).

As this is a 3-year position you will be required to have permanent work rights in Australia. Relocation assistance and visa sponsorship may be considered.

To learn more about this opportunity, please contact Professor Ryan Loxton, Director, Curtin Centre for Optimisation and Decision Science, r.loxton@curtin.edu.au.

About Us

Curtin University is one of the world’s top 200 universities according to the 2023 QS World University Rankings. We offer a competitive remuneration and benefits package, a friendly and collaborative work environment, generous leave entitlements and superannuation, flexible working arrangements, and salary-packaging. Our vibrant campus includes an art gallery, gym, childcare and medical centre, and endless food options including a supermarket.

For more information about our university, please visit www.curtin.edu.au.

To apply

Please provide a cover letter, your CV and separate document addressing the selection criteria (noted below) to allow us to assess your suitability for this role.

Selection criteria

  • A doctoral qualification in mathematical sciences.
  • A track record of publications in high-quality international journals in the statistics and mathematical science areas, commensurate with experience level and assessed relative to opportunity.
  • Experience developing statistical methods in collaborative research and development and/or consulting projects with industry, assessed relative to opportunity.
  • A strong theoretical background in statistics and computational methods.
  • Ability to successfully teach statistics and supervise research students at undergraduate and postgraduate levels.
  • Potential to attract research funding through grants and consulting, particularly in the priority areas of defence and resources/mining.
  • Excellent written and verbal communication skills, with the ability to explain mathematical and statistical concepts to a non-technical audience.

This position may involve research with defence organisations where the ability to successfully apply for an Australian security clearance would be highly beneficial. The successful candidate may be required to undertake work on, or be provided with, technical information that is restricted by the Department of Defence. In accordance with these restrictions, any applicant born outside Australia or who holds, or has previously held, citizenship or permanent residency of a country other than Australia will be required to declare and indicate the country of birth, citizenships or permanent residencies, and this information may be considered relevant to selection.

Applications close: 5PM Australian Western Standard Time (AWST), Tuesday 10 October 2023.

Applicants should note that prior to appointment, you will need to have a current National Police Records check, undergo character, integrity, and reference checks. Please note that this position may be subject to a WA state government vaccination mandate. If requested, you will be required to provide evidence of your vaccination status prior to employment.

If you have a query in relation to the application process, please contact our careers team on 08 9266 9000 (option 3,1).

For more information, please copy and paste the following link into your web browser: http://staff.curtin.edu.au/job-vacancies/?ja-job=1099002

Senior/Research Fellow in Economic Modelling @Victoria University

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Location: Centre of Policy Studies; Victoria University, City Queen Campus
Position: Research Fellow/Senior Research Fellow in Economic Modelling
Level: B or C, depending on experience
Duration: to 31 December 2024, with expectation of ongoing renewal
Close Date: 3 October 2023

This is a full-time position with the classification depending on experience at either a Research Fellow Academic B ($101,598–$120,647) or Senior Research Fellow Academic C ($124,457–$143,506) plus 17% superannuation. Working 36.75 hours (1.0 FTE) per week over a fixed term contract period (to 31 December 2024) there is the expectation of ongoing renewal of the contract subject to performance and budget.

  • Join a world leading research institution
  • Work in a high performing and motivated team
  • The position is located at our City Queen Campus.

About us

The Centre of Policy Studies (CoPS) is a Research Centre within Victoria University (VU) Research. We have been at the forefront of economic research and policy analysis for almost half a century and are renowned for development, application and training in computable general equilibrium (CGE) modelling. CoPS’ staff are the creators of many high profile CGE models, and the economic modelling software package, GEMPACK, used in over ninety-five countries.

About the role

We are looking for an exceptional Ph.D qualified economist, mathematician or computer scientist to contribute to our research program and make a significant mark in the field of economy-wide modelling. You will be an integral part of a research team that undertakes contract research studies on diverse policy topics for private and public sector agencies all around the world. Recent CoPS studies have covered a wide range of policy topics in such areas as: tax, trade, macro policy, climate change, water policy, banking and finance, migration, major projects, microeconomic reform, transport, and labour markets. Working together with the Director of CoPS and other senior CoPS staff, the researcher will be required to undertake research in the development, application and/or computation of large-scale economy-wide models.

About the person

The position will appeal to a researcher who has a strong background in applied economics or a relevant quantitative background in applied mathematics or computer science, and who values the importance of detailed quantitative analysis in informing evidence-based decision making in economics. The position represents an excellent opportunity for a person with the necessary modelling skills to join and play a leading research role in this highly regarded research centre. The ideal candidate should have the ability to identify and develop potential collaborations with industry partners, governmental bodies, and other relevant stakeholders. This requires skills in understanding rigorous academic principles and real-world applications, and bridging the gap between the two. The position requires a strong desire to work collaboratively in a team environment, together with a demonstrated record of research output in the form of publications, conference papers, reports, external engagements, and/or professional and/or technical contributions in the area of policy applications of large-scale economic models.

Duties

An example of duties you may perform will include:

  •  Undertake economic research for a range of national and international public agencies.
  •  Develop a range of regional, national and global economic models, and apply these models to diverse areas of current public policy interest.
  • Train others in the development and application of large-scale economic models.
  • Translate your work into public reports, academic publications, media engagement, and other outreach activities.

How to apply

Depending on qualifications and experience, the position will be classified at either Level B (Research Fellow) or Level C (Senior Research Fellow). Applicants should state and support their desired level of appointment in their application.

  • For a detailed position description for a Research Fellow Level B, please click here.
  • For a detailed position description for a Senior Research Fellow Level C, please click here.

Applications must be submitted as a single document comprising:

  1. A cover letter;
  2. Your curriculum vitae/résumé;
  3. Your academic transcripts; and,
  4. Your responses to the key selection criteria listed in the position description.

For further information relating to the position, please contact James Giesecke, Professor (Research) & Director C by email at james.giesecke@vu.edu.au.

For further information relating to the recruitment process, please contact Maxim Zervos, People & Culture Officer by email at maxim.zervos@vu.edu.au.

Applications close on Tuesday the 3rd of October, 2023 (11:59pm AEST)

PhD Scholarship at CSIRO & Monash

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Location: CSIRO, Mechanical and Aerospace Engineering
Closing Date: 31 October 2023
Duration: 3 years
Scholarship Title: Development of physics-constrained reduced order modelling of thermally driven flows

Monash University in conjunction with the CSIRO has an exciting opportunity for a PhD candidate to undertake research on the development of physics-constrained reduced order modelling of thermally driven flows. This fundamental research would enable the rapid computation, sensitivity analysis and robust design in many applications including: energy generation systems; heating, ventilation and cooling; and climate change response under varying levels of future greenhouse gas forcing.

Candidates must have:

  • an outstanding knowledge of mathematics and/or theory of fluid mechanics;
  • programming experience (e.g. python, Julia, C/C++, F90);
  • experience in numerical simulations and/or machine learning.

The successful candidate will be eligible for a top-up scholarship up to $10,000 per year.
Closing date for Australian permanent residents and citizens and NZ citizens is: 31st October 2023.

For further details, click here.
Contacts:

Lecturer or Senior Lecturer in Mathematics @Adelaide

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Location: School of Computer and Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: 2-year appointment (convertible)
Remuneration: Level B ($107,276–$126,894) or Level C ($130,810–$150,431) + 17% superannuation
Closing Date: 24 September 2023

The School of Computer and 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 position is available from 1 December 2023.

How to apply

Learn more about this position and apply: click here.

Mathematical Modeller @Burnet Institute

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Close date: 28 August 2023

Are you a talented researcher eager to undertake real-world mathematical modelling projects in infectious diseases and global health? Then this could be the role for you!

A unique opportunity exists for a Mathematical Modeller to join Burnet’s Modelling & Biostatistics team. You will be part of an innovative global team of experts that are developing and applying epidemiological and costing models around the world across a range of disease areas including COVID-19, HIV, TB, malaria, viral hepatitis, maternal and child health.

Modelling and analytical outputs will be provided to governments, policy makers, and other partners including the World Bank, Global Fund, and international health agencies, to improve health budget investment towards better decision-making and impact around the world.

In this role, you will:

  • Develop and apply mathematical models of key health and disease areas, using appropriate epidemiological, statistical, mathematical, and economic techniques.
  • Communicate with epidemiologists, public health experts, government officials, and global health and international aid agencies.
  • Undertake research projects with a high degree of autonomy.

Ideally, we are seeking a full-time appointment based in Melbourne, however we are open to part time arrangements (0.4 – 1.0 FTE) and fully remote working (from anywhere in Australia) with occasional travel to Melbourne. This is an initial 2-year contract with the possibility of extension. Flexibility to manage your own working hours will also be provided.

More details here.

Lecturer in Mathematics at University of Western Sydney

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Position: Lecturer in Mathematics at Western Sydney University; School of Computer, Data and Mathematical Sciences
Duration: Permanent
Salary range: Level B
Closing date: 29 September 2023
 

Western Sydney University demonstrated its commitment to foundational science establishing the Centre for Research in Mathematics and Data Science in 2013. Several researchers in the centre hold ARC Discovery Project or Future Fellowship grants, and the centre has become a venue for international AMSI workshops and conferences in pure mathematics. Mathematics has been consistently ranked above world standard in ERA; in ERA 2018, the fields Mathematics (FoR 01), Pure Mathematics (FoR 0101) and Applied Mathematics (FoR 0102) each received a ranking of 4 out of 5.

We seek an energetic, forward-thinking, dynamic, and innovative mathematician to take on a Level B academic position in mathematics for a full-time, permanent position.

Position Enquiries:

WSU job site: https://uws.nga.net.au/. Search for Ref 4542/23.

Lecturer/Senior Lecturer in Pure Mathematics @La Trobe

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Location: La Trobe University, Bundoora campus; Department of Mathematical and Physical Sciences
Employment Type: Continuing (Full Time)
Remuneration:  Level B or Level C Academic Appointment
Closing Date: 17 September 2023
Job no: 564041

About the position

This position is located in the Department of Mathematical and Physical Sciences, part of the School of Computing, Engineering and Mathematical Sciences in Melbourne (Bundoora) campus. The School has three departments: Computer Science and Information Technology, Engineering, and Mathematical and Physical Sciences on both Melbourne (Bundoora) and Bendigo campuses.

The Department of Mathematical and Physical Sciences is comprised of active teaching and research staff across the broad disciplines of applied mathematics, pure mathematics, statistics, and physics. The Department offers undergraduate majors in mathematics, statistics, data science, and physics, and also provides many important subjects that are undertaken by students from a diverse range of courses and disciplinary backgrounds (eg. engineering, life sciences, education). Several members hold national and other teaching awards. The Australian Research Council’s Excellence in Research for Australia (ERA2018) ranks the Department’s mathematical sciences as ‘above world standard’, and physical sciences research as ‘well above world standard.’

Reporting to the Head of Department of Mathematics and Physical Sciences a Level B and/or Level C teaching and research academic is expected to develop curriculum, teach and/or undertake research and/or other scholarly work relevant to the development of their discipline or professional field.

A selection of your duties will include:

  • Contribute to cross-disciplinary teaching development and delivery across the Department and School as required.
  • Design, coordinate and teach subjects and courses which provide a high-quality learning experience in the areas of mathematics and data science that engages undergraduate, honours and postgraduate students.
  • Design innovative and effective curriculum which reflects developing best practice nationally and internationally, utilising various methodologies including online and blended learning.
  • Conduct and lead innovative and high impact research in the area of pure mathematics and produce conference and seminar papers and publications resulting from that research.
  • Supervise Higher Degree by Research (HDR), honours and postgraduate students.

Skills & Experience

  • Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area.
  • Demonstrated effectiveness in curriculum development and teaching with a commitment to excellence in teaching.
  • Demonstrate ability to participate/lead industry/government engagement and/or relevant research.
  • Strong record of research publication, with appropriate evidence of quality and impact.

Please refer to the Position Description for other duties, skills and experience required for this position.

Benefits

  • 17% employer contributed superannuation
  • On site child care facilities
  • Flexible work arrangements
  • Discounts for staff and their family members to study a range of La Trobe courses

For more information and to apply, please visit https://careers.pageuppeople.com/533/caw/en/job/564041/lecturersenior-lecturer-pure-mathematics.

Position Enquiries: Dr Narelle Brack, Head of Department, Department of Mathematical and Physical Sciences, School of Computing, Engineering and Mathematical Sciences, Email: n.brack@latrobe.edu.au, Phone: (03) 9479 3808

Recruitment Enquiries: Vicki Stavrou, Senior Talent Acquisition Business Partner, Email: v.stavrou@latrobe.edu.au, Phone: (03) 9479 5191

Scholarship in Data Science @Curtin

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Closing date: 25 August 2023
Campus: Curtin University; Centre for Optimisation and Decision Science
Remuneration: $60,000 – $70,000 per annum
Status: 3 years
Title: Dynamics-driven operator splitting methods for data science, machine learning, and engineering problems

In data science, machine learning, and engineering, many problems take the form of finding a solution that minimizes a cost, subject to constraints on allowable solutions. Some examples of costs include expected financial losses, model prediction errors, and energy used. Some examples of constraints include resource limitations, minimum requirements on what is produced, and so forth.

These problems are solved with operator splitting methods, a modern class of non-linear optimisation algorithms that allow the constraint structure and cost structure to be treated as two components of a single unifying function. These algorithms were independently discovered by mathematicians working on physics and imaging problems, and they have been developed and improved with the powerful machinery of convex analysis.

For many important problems, we desire to make these algorithms go faster, either to find solutions within the maximum time allowable (for example: balancing power flow in electricity grids) or to make better data science models computationally tractable for large data sets. Researchers have recently turned to studying the dynamical systems associated with operator splitting methods. This research is allowing us to prove results in nonconvex settings and build new algorithms. Dr. Scott Lindstrom recently introduced a meta-algorithm that uses operator dynamics to suggest alternative algorithm updates. The intent of this meta-algorithm is to solve surrogates for something called a Lyapunov function, which is an object that describes the dynamics. This meta-algorithm has already become state-of-the-art for finding wavelets with structural constraints (an imaging sciences problem).

Scientific Aims

The scientific aim of this project is to identify classes of problems in data science, machine learning, and engineering for which meta-algorithms—such as the one described above—may be deliver superior performance. The approach will be multi-faceted, combining both computational experiment and rigorous proof. The results will be communicated in articles and submitted to peer-reviewed publications.

Upskilling Aims

The upskilling aims for the selected candidate are as follows (in no particular order). The candidate will build expertise in the algorithms that make it possible to solve many modern data science models and engineering problems, understanding both how the algorithms are designed, how geometry informs model selection, and what the outstanding challenges are. At the project’s completion, the candidate will be competent to rigorously conduct both experimental and theoretical mathematics research, and to communicate the results of their discoveries to others in the field.

In the literature review component, you will learn the fundamental theory—convex analysis—of operator splitting and learn how operator splitting algorithms are formulated for solving various classes of problems. Some examples of the types of problems you will study are as follows: (1) least absolute deviations for outlier-resistant linear regression (a data science modelling problem), (2) progressive hedging for maximizing expected earnings (a finance problem), (3) computation of a one-norm centroid (a statistics problem), and (4) phase retrieval (a signal processing problem).

In the experimental component, you will apply Lyapunov surrogate methods to solve those problems. You will build performance profiles, which are visualizations that allow researchers to compare the speeds of different algorithms.

In the theoretical component, you will formally analyse the dynamical systems associated with operator splitting methods when they are applied to these problem classes. Particular emphasis will be placed on the duality of algorithms; duality is a fundamental concept in convex analysis.

You will document and communicate the findings in written articles.

Context

As described in the overview, in the here and now, faster operator splitting methods will allow us to obtain better solutions to important problems in data science and energy. On a ten year horizon, this research advances an emerging new paradigm in problem solving, where artificial intelligence will observe an algorithm’s performance and suggest on-the-fly parameter adjustments and alternative updates for the iterates. Finally, the project builds fundamental knowledge in the mathematical sciences and equips the selected candidate with a skill set of extreme contemporary demand.

To apply

For more information, please copy and paste the following link into your web browser: http://staff.curtin.edu.au/Scholarship/?id=6730

Associate Lecturer/Lecturer in Mathematics or Physics @UQueensland

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Location: The School of Mathematics and Physics, University of Queensland
Status: full-time (100%), fixed-term up to 2 years
Remuneration: (Level A) $74,308.68–$99,426.59 or (Level B) $104,579.67–$124,187.99; plus super of up to 17%
Closing date: 21 July 2021
Reference: R-27253-2

About this opportunity

This is an exciting opportunity in the School of Mathematics and Physics for an Indigenous Associate Lecturer/Lecturer to focus their efforts on developing their expertise and emerging academic profile in the area of Mathematics, Statistics, Mathematical Data Science or Physics. At this level, it is expected that the successful candidate will gain or develop their experience in teaching and course coordination, begin to establish an independent research profile, and contribute to service and engagement roles and activities.

Please view the Candidate Information Booklet below for the key responsibilities.
This is a teaching & research academic position. Further information can be found by viewing UQ’s Criteria for Academic Performance.
This is a full-time (100%), fixed-term position for up to 2 years, at Academic Level A or B depending on experience.

The full-time equivalent base salary at Level A will be in the range of $74,308.68–$99,426.59 plus super of up to 17%. The total FTE package will be in the range of $86,941.16–$116,329.11.

The full-time equivalent base salary at Level B will be in the range of $104,579.67–$124,187.99 plus super of up to 17%. The total FTE package will be in the range of $122,358.21–$145,299.95.

The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process.

Appointment Booklet

Please go to our careers page to view the Appointment Booklet.

About UQ

As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.

As part of our commitment to research excellence, we are proud to provide our staff with access to world-class facilities and equipment, and grant writing support.

At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. Not only do we have one of the largest PhD enrolments in Australia, but we have also made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.

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 be near completion (e.g., thesis submitted) in a relevant field such as mathematics, statistics, mathematical data science, or physics. Additionally, you will demonstrate:

Level A (Associate Lecturer):
• An emerging profile of contributions towards a range of teaching responsibilities, including assisting with designing effective learning materials and assessment tasks, using effective teaching and learning approaches, coordinating courses, and participating in a range of student experiences.
• A developing 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/or the development of partnerships with research end users or external collaborators.
• A plan for a research program that complements and supplements the research of staff in the School and/or the broader university, including details of possible collaborations.
• A growing record of or the potential for effective contributions to the supervision of Honours and Higher Degree by Research students, evidence for which can include: assisting with the supervisory role contributing to successful completion of Honours or HDR students or vacation scholars; development of supervisee capabilities and skills; demonstrating the responsible conduct of research; and/or facilitating engagement opportunities for supervisees.
• Some experience in meaningful internal service roles and/or contributions towards external activities.

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.

Additional criteria

The University of Queensland considers that the filling of this position constitutes an equal opportunity measure under s105 of the Anti-Discrimination Act 1991(Qld) and under section 8(1) of the Racial Discrimination Act 1975 (Cth).
The position is therefore only open to Australian Aboriginal and/or Torres Strait Islander people.
The successful candidate will be required to provide evidence to confirm that they are an Aboriginal and/or Torres Strait Islander person.

In addition, the following mandatory requirements apply:
Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

Questions?

For more information about this opportunity, please contact Professor Joseph Grotowski, Head of School – Mathematics and Physics via j.grotowski@uq.edu.au

For application queries, please contact recruitment@uq.edu.au stating the job reference number in the subject line.

Want to Apply?

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 18 August 2023.

As part of the Selection Process, applicants shortlisted for interview will be invited to make a short presentation (5 minutes) to the selection panel about their teaching and research experience to date at the start of their interview.

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

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 recruitment@uq.edu.au

If you are a current employee (including casual staff and HDR scholars), 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 https://uq.wd3.myworkdayjobs.com/uqcareers/job/St-Lucia-Campus/Associate-Lecturer-Lecturer–Level-A-or-B–Mathematics-or-Physics–Identified-Position-_R-27253-2.

Lecturer in Mathematics @Sydney

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Closing date: 17 August 2023; 11:59pm
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Remuneration: Base Salary Level B, $113K – $134K + 17% superannuation
Status: Full time, 3 years, fixed term.
Reference: 0107501-1

• Full time, 3 Years Fixed Term. Located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to join a vibrant and collegial community of world-class mathematicians and statisticians
• Base Salary, Level B $113K – $134K p.a. + 17% superannuation

About the opportunity

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. The University also hosts the Sydney Mathematical Research Institute (SMRI), which attracts leading mathematical scientists from all over the world to do research with Australian collaborators. We are currently seeking to appoint an accomplished academic to the position of Lecturer in Mathematics. To succeed, you will be a talented and well-qualified mathematician with a passion for teaching and research expertise in an area that strengthens the school’s profile and align with the research interests of SMRI’s director Professor Geordie Williamson. This includes, but is not limited to algebra, geometry and representation theory. In particular, researchers with background in geometric representation theory, algebraic geometry or homotopy theory are particularly encouraged to apply. You will need to have appropriate skills and qualifications as outlined in the position description, including a PhD in Mathematics.

If appointed, you will be expected to undertake duties consistent with an appointment at the Lecturer level (Level B) on the Australian academic scale. This will include: publishing scholarly papers in international peer-reviewed journals and presenting at conferences; supervising undergraduate and postgraduate students; teaching a range of courses to undergraduate students; and applying for external funding.

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 Mathematics
• evidence of independent research ability
• demonstrated evidence of independent research ability and potential in an area of Mathematics
• published research, as a sole author or in collaboration, in refereed journals
• evidence of ability, versatility and commitment to excellence in undergraduate teaching
• ability to supervise students at undergraduate and postgraduate levels
• evidence of administration and course coordination within a university environment and the ability to apply for competitive research funding would be highly desirable.

The position is full-time fixed-term for three years, subject to completion of a satisfactory probation and confirmation period for new appointees.

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
  2. research statement, with a focus on where you see your research in 3 years
  3. teaching statement, with a focus on approaches you utilize for effective teaching

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: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Lecturer-in-Mathematics_0107501-1

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