Research Associate/Fellow in Representation Theory @Sydney

Location: Camperdown Campus at the School of Mathematics and Statistics, The University of Sydney
Employment Type: Full time
Duration: 2 year fixed term appointment
Remuneration: $105,350–$140,586 p.a. + 17% superannuation (Level A)
Closing Date: 16 June 2024

The University of Sydney is welcoming applications for a Postdoctoral Research Associate/Senior Research Associate (Level A-B) to conduct research in a collaborative research team based at the School of Mathematics and Statistics, participating in a research program investigating cyclotomic KLR algebras, Kac–Moody algebras, categorification and crystals for the ARC Project ‘Categorification and KLR algebras’. This role will report to, and work with, Professor Andrew Mathas, carrying out scientific research and preparing and presenting scientific results in papers and conferences, and co-supervising undergraduate and graduate research students. Additionally, you will help to coordinate the research of different researchers and eventually apply for independent research fellowship and collaborative research funding.

How to apply

Learn more about this position and apply here.

Senior/Lecturers in Data Science / Stochastic Modelling / Statistics @Adelaide

Location: School of Computer and Mathematical Sciences, University of Adelaide
Employment Type: Full-time, 2 x Levels B or C
Duration: Continuing
Remuneration: Level B ($107,276–$126,894) or Level C ($130,810–$150,431) + 17% superannuation
Closing Date: 16 June 2024
Reference: 513793

The School of Computer and Mathematical Sciences is expanding its team and have 2 unique opportunities available for continuing Lecturer/Senior Lecturer roles in Stochastics, Statistics and Data Science.

To be successful at Level B we are seeking:

  • PhD in the mathematical sciences or equivalent qualification
  • Demonstrated research ability that supports the School’s research strengths in statistics, data science, stochastic modelling, or a related field
  • Record of research achievements as evidenced by publications in high-quality journals or conference proceedings
  • Demonstrated ability to teach effectively using evidence-based pedagogy that promotes student engagement
  • Ability to communicate clearly and effectively in English with both students and staff
  • Ability to work as part of a team
  • Ability to carry out administrative duties, as directed by the Head of School, effectively and efficiently
  • Commitment to the principles of equity, diversity and inclusion, and ability to contribute to the diversity of the School community.

To be successful at Level C we are additionally seeking:

  • Substantial record of research achievements as evidenced by publications in high-quality journals or conference proceedings
  • Demonstrated ability to win significant research funding
  • Substantial record of success in effective teaching using evidence-based pedagogy that promotes student engagement and as course coordinator
  • Record of successful curriculum development or pedagogical innovation
  • Demonstrated ability to attract and supervise postgraduate students.

How to apply

Learn more about this position and apply: click here.

Postdocs in Mathematical Phylogenetics @UNSW

Location: UNSW Sydney, School of Mathematics and Statistics
Employment Type: Postdoctoral Fellow — Mathematical Phylogenetics
Duration: Fixed-term 3 years
Remuneration:  Level A
Closing Date: 20 May 2024

Andrew Francis is recruiting a postdoctoral researcher to work with him on the mathematics of phylogenetic trees and networks. This is a fast-changing field and so the exact research program is likely to evolve, but is likely to include questions arising from bijections between trees and networks on the one hand, and partitions and covers of finite sets on the other. Likewise, the mathematics required for making progress can be diverse, but certainly capacity in discrete mathematics, especially combinatorics and graph theory, will be needed.  

The role will suit someone who loves solving problems, floating speculative ideas, coming up with new questions and angles on problems, and finding solutions. It will suit someone who likes to collaborate but will also be happy to work independently at times due to my governance responsibilities.

To enquire informally about the role please email Andrew: a.francis@unsw.edu.au.

Applications need to go through the UNSW system as described in the official advertisement linked in the URL below.

For more information and to apply, please visit https://external-careers.jobs.unsw.edu.au/cw/en/job/524013/postdoctoral-fellow-mathematics-statistics.

Lecturer in Data Science @USydney

Closing date: 2 June 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Lecturer / Senior Lecturer in Data Science
Remuneration: Level B $118,390–$140,586 p.a.+17% superannuation
Status: Full Time Fixed Term Contract until 2027.
Reference>: 0117330

About the opportunity

Opportunity for a Lecturer in Data Science to join The School of Mathematics and Statistics of the University of Sydney, one of the largest mathematical sciences schools in Australia. 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 Excellence in Research for Australia assessment to date.

As a Lecturer in Data Science, 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. You will also benefit from our supportive community of world-class mathematicians and statisticians.

Your key responsibilities will be to:

  • contribute to in the development, implementation, and promotion of mathematical/statistical education programs at the School of Mathematics and Statistics
  • work and collaborate on teaching programs and research with Academic and Professional staff at the University of Sydney
  • make a significant contribution to the research, education and administrative endeavors of their school/faculty while building their reputation as an authoritative figure in the discipline.

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 in Data Science who has:   

  • a PhD or a doctorate in Mathematics, Applied Mathematics, Statistics, or related field
  • an outstanding track record of publishing their research in areas of data science, optimization, or applied mathematics
  • evidence of ability, versatility and commitment to teaching
  • experience supervising students
  • a developing knowledge and understanding of the key strategic issues in the discipline and higher education sector.  

Note: Please be advised that there will be a on campus panel interview held in end of June.

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.

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.

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

All applications must (include a cover letter, CV, and any additional supporting documentation) as per the details mentioned in the advert, can be submitted via the Apply button at the top of the page. 

If you are a current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Contact Information

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Faiza Khan, Recruitment Operations, by email to Faiza.khan@sydney.edu.au

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Lecturer-in-Data-Science_0117330-2

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

Lecturer in Statistical Data Science @Macquarie

Location: School of Mathematical and Physical Sciences, Macquarie University
Employment Type: Full time, continuing
Salary package: Level B
Closing Date: 11:59 pm; Sunday 5 May 2024

About the opportunity

The School of Mathematical and Physical Sciences at Macquarie University (MQ) in Sydney Australia is making a substantial investment to grow its research capacity in statistical data science and seeks to appoint an outstanding candidate to a continuing position as Lecturer (Level B).

The successful appointee will be employed under the ‘Teaching and Research Academic job family — a balanced academic role which combines elements of research, teaching, leadership and service’, typically at 40% research, 40% teaching and 20% service distribution.

In research, the appointee will be expected to conduct high-quality independent and collaborative research in Statistical Data Science with a preference that this research enables new collaborations within the School and across the University including but not limited to Astrostatistics, Biostatistics, Computational Statistics, Medical Statistics, Statistical Image Analysis, and Statistical Machine Learning. Experience with or potential to build industry collaborations would be highly valued.

In teaching, the appointee will teach into one or more of our degrees, including the undergraduate major in Statistical Data Science, the Master of Applied Statistics degree, and the Master of Data Science. The appointee will be mentored to develop a teaching philosophy and pedagogy that improves the student experience, outcomes, and employability.

About Us

The School of Mathematical and Physical Sciences was formed in January 2021 and represents a continuation of the traditions of the disciplines of Applied Mathematics, Astronomy, Physics, Pure Mathematics and Statistics at Macquarie University. This position is part of our strategic investment in the area of Mathematics.
Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 57 years ago, we have aspired to be a different type of university. Over the years, we’ve grown to become the centre of a vibrant local and global community. Connect with us today.

Macquarie University‘s goal is to increase the proportion of women, Aboriginal and Torres Strait Islander peoples, and diverse peoples of all backgrounds in Science, Technology, Engineering, Mathematics and Medicine (STEMM) roles. Applications are considered holistically, and candidates are encouraged to apply even if they may not feel strong on every individual selection criterion. For more information, please visit our Equity, Diversity and Inclusion page https://staff.mq.edu.au/work/diversity-inclusion.

How to apply

Learn more about this position.
Enquiries: Professor Samuel Muller, Head of School at samuel.muller@mq.edu.au
Job URL link: https://mq.wd3.myworkdayjobs.com/en-US/CareersatMQ/details/Lecturer-in-Mathematics_R000010406-1.

Postdoc Research Positions in Modeling Influenza Infections

Location: University of Tennessee, Health Science Centre
Closing date: 25 April 2024
Campus: Smith Lab., Department of Pediatrics
Website: http://www.ambersmithlab.com
Application Instructions: Please send a brief statement of research interests and CV to amber.smith@uthsc.edu
Application Deadline: Review will continue until the positions are filled.

Postdoctoral research positions are available in the Department of Pediatrics and the Institute for the Study of Host-Pathogen Systems at the University of Tennessee Health Science Center (UTHSC) in Memphis, TN in the lab of Dr. Amber Smith. Postdocs will develop and analyze mathematical models of the immune response to influenza virus infections and coinfections. The Smith lab is a dual dry/wet laboratory and uniquely generates robust data sets to train and validate model predictions. Successful candidates will develop and analyze dynamical infection models, use parameter estimation to investigate experimental and clinical data, help design new experiments, and generate new hypotheses about infection biology.

Qualifications:

  • Ph.D. in Mathematics, Computer Science, Statistics, Physics, Engineering, or a related field
  • Prior experience in modeling viral infections, bacterial infections, and/or immune response dynamics
  • Experience with parameter estimation techniques and data-driven modeling
  • Proficient programming skills in Python and/or Matlab
  • Excellent oral and written communication skills
  • The ability to work well in a fast paced, collaborative, medically focused research environment are also preferred.

Experience and willingness to work closely with experimental collaborators and design experiments is also highly desired. The position requires independent, career-focused, and creative individuals.

For more information or to apply, see this page.

Postdoc Research Fellow in Mathematical Optimisation Methods

  • Location: University of Queensland, The School of Mathematics and Physics
  • Level: Academic Level A,
  • Duration: Fixed-term position for up to 3 years
  • Remuneration: $77,324.85 — $102,945.12 annually, plus super allowance of up to 17%. 
  • Closing date: 22 April 2024 at 11.00pm AEST
  • Reference: R-35802

Play a lead role in developing optimisation and decision-making models in agriculture supply chain analytics.
Apply mathematical optimisation methods. Based at our vibrant and picturesque St Lucia Campus. 

About this Opportunity

The grains industry has a gross value of > $30 billion per year produced from sowing 25 M ha of crops and is a major export industry for Australia. The Grains Research and Development Corporation (GRDC) uses grower levies to fund more than 800 research, development and extension (RD&E) investments worth $177 million (2022–23). UQ co-invests in grains research including via a new initiative, Analytics for the Australian Grains Industry (AAGI) which involves researchers and students from the Schools of Agriculture and Food Sustainability, Maths and Physics, and Electronic Engineering and Computer Science as well as from QAAFI (Queensland Alliance for Agriculture and Food Innovation – co-funded by the Queensland Government).

AAGI is a five-year strategic partnership across UQ, Curtin University, and the University of Adelaide that is aimed at harnessing analytics to drive the sector’s profitability and global impact. AAGI gives Australian growers an opportunity to be world leaders in analytics-driven decision making to drive efficiency and precision and support farm enterprise risk management. AAGI at UQ provides an exciting environment for researchers to focus their efforts on developing their expertise and emerging research profile in their discipline.

This postdoctoral fellowship position based in the School of Mathematics and Physics will apply mathematical optimisation methods to examine analyse and optimise supply-chain related to the inputs (seeds, fertiliser, management etc) and outputs (yield and quality traits) associated with the on-farm production as well as storage and off-farm movement of grain crop products. In addition to AAGI, this position will service research needs of other UQ and GRDC supported projects

This is a research-focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance.

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.

Visa sponsorship may be available for this appointment. 

Applications close Monday 22 April 2024 at 11.00pm AEST (R-35802).
Please note that interviews have been tentatively scheduled for early May.

More Information and How to Apply

For more information about this opportunity, please contact Dr Mahdi Abolghasemi via m.abolghasemi@uq.edu.au.

For application queries, please contact talent@uq.edu.au stating the job reference number (R-35802) in the subject line. 

Please apply via the UQ Careers website via: https://uq.wd3.myworkdayjobs.com/en-US/uqcareers/details/Postdoctoral-Research-Fellow—Mathematical-Optimisation-Methods_R-35802-1?q=35802

Lecturer/Senior Lecturer in Mathematics @UNSW

Location: UNSW Canberra, School of Science
Employment Type: Full-time, women only; Level B or C
Duration: Continuing
Closing Date: 16 April 2024

This continuing position will be at Level B or Level C, depending on the background and experience of the applicant. This is a women-only appointment, and part of the School of Science‘s Women in Science Initiative.

The School has strong research profiles in both Bushfire Research and Number Theory. Applicants are sought from these areas, and will have a standard academic load of half-research and half-teaching.

For more information and to apply, please visit Jobs@UNSW site.

Postdoctoral Research Associate in Stochastic Partial Differential Equations

Location: School of Mathematics and Statistics, The University of Sydney
Employment Type: Full time 2-year fixed term
Duration: Full time, fixed term position until 6th June 2026, with a possibility on extension.
Remuneration: Base Salary Level A $105,350-$112,462 p.a. +17% superannuation
Closing Date: 28 April 2024
Reference: 0116589

About the opportunity

The Faculty of Science is currently seeking a Postdoctoral Research Associate in Stochastic Partial Differential Equations to join the research team based at the Schools of Mathematics and Statistics at the University of Sydney. The incumbent will have expertise either in stochastic analysis or partial differential equation, ideally in both.

The aim of this project is to develop innovative mathematical theory and numerical algorithms for solutions of stochastic partial differential equations that describe properties of magnetization in ferromagnetic materials. The mathematical toolset will include methods from stochastic analysis, partial differential equations, multiscale analysis and the theory of dynamical systems.

The technology of magnetic memories is grounded in the theory of strongly nonlinear systems of partial differential equations closely related to the nonlinear Schrödinger equation and to the so-called heat flow for sphere-valued harmonic maps. Solutions of such a system of equations develop singularities such as vortices, skyrmions and hopfions that are expected to lead to new types of magnetic memories operating in nano-scales. In such scales random fluctuations can modify behaviour of solutions hence the aforementioned equations must be modified to include random terms.

Your key responsibilities will be to:

  • work closely with the research team to realise the aims of the ARC Discovery Project “Mathematics for future magnetic devices’’
  • conduct research on stochastic PDEs and their singularities, and their dynamics and stability under the influence of noise
  • participate in supervision of PhD students working on topics related to the project
  • present findings of the group at local and international meetings and at research seminars
  • contribute to preparation of research publications.

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 in Stochastic Partial Differential Equations who has:

  • a PHD in Mathematics (or close to completing)
  • demonstrated expertise in either Stochastic Differential Equations or Partial Differential Equations, ideally in both
  • demonstrated ability to conduct high-quality research either independently or as part of a research team
  • published research as sole author or in collaboration
  • excellent written and verbal communication skills
  • the ability to supervise students at undergraduate level.

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 roles 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

Learn more about this position and apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Stochastic-Partial-Differential-Equations_0116589-1.

Lecturer/Senior Lecturer (Education Focused) @USydney

Closing date: 15 April 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Lecturer / Senior Lecturer in Applied Mathematics / Pure Mathematics / Statistics (Education Focused)
Remuneration: Level B or C
Status: Full time.

About the opportunity

The University of Sydney welcomes applications for Sydney Horizon Educators in the academic disciplines outlined below, during an exciting and innovative time. With the introduction of the new University of Sydney Enterprise Agreement 2023-26, the University has committed to establishing and advertising new continuing education-focused (EF) academic positions, across the Faculty of Science.
Successful candidates will join the Sydney Horizon Educators cohort. For further insights into this exciting opportunity, we invite you to watch this video.

The University aims to attract and retain the best and brightest emerging academics. Positions in this opportunity are for talented educators with a passion for, and demonstrated excellence in, educational practice and innovation, and research capability (in disciplinary and/or education-related research). This newly recruited group of educators will support an uplift in the teaching capability and student experience at the University of Sydney, while also developing as leaders in the education space at the University.

You will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation in your specialised field while you also contribute to research in relation to your discipline and/or your educational practice. As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school, particularly as it relates to education.

Successful candidates will be expected to dedicate most of their contribution to teaching and teaching-related activities (70%), while also engaging in research (20%) and governance, leadership, and engagement (10%). Successful appointees support, coordinate, and teach undergraduate and postgraduate coursework Units of Study. Laboratory tutorial, studio class deliveries, and workshop management and teaching may also be a key part of the roles. These positions may also assist and guide the academic coordinators of other units within the discipline. 

Over time, staff appointed to these roles will be supported to engage with professional development opportunities to build their capability to lead change and improvement in teaching at the University. 

our key responsibilities will be to:

  • undertake a leadership role in educational innovation, curriculum design and review, contributing to outstanding educational delivery and outcomes
  • design and engage in high-quality teaching and learning experiences which meet the University’s expectations and standards for education
  • deliver outstanding teaching and learning outcomes for students
  • develop teaching and unit materials, working with more senior academics within the University 
  • maintain relevant Work, Health and Safety requirements and management including laboratory and/or field work
  • through research and scholarly creative work, contribute to knowledge within your discipline or area of expertise, particularly as it relates to teaching and learning in your discipline
  • develop and refine your education research skills, particularly as they relate to evaluating and improving teaching and learning in your discipline
  • maintain high quality, standards and excellence in your educational activities and output
  • contribute to the governance, leadership, and engagement work in your school.

The University of Sydney is recognised as one of the top research and teaching universities in the world.

The aims of these education focused roles are to attract and retain the best and brightest emerging academics, within a specialised category of academic engagement for talented educators with a passion for, and demonstrated excellence in, teaching, the student experience, pedagogical practice, and educational innovation.

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 talented academics who align to these values and who will lead our teaching and research work at the university in the years to come. You will join a dynamic, engaged group in a highly collaborative and supportive teaching and research environment.   

We are looking for candidates who understand the principles and pedagogy of good curriculum and assessment design, and who will make a significant contribution to improving the student experience at the University. Successful candidates will understand or be willing to learn the research principles around teaching and learning design, delivery, and evaluation. They will have a demonstrated ability to interact effectively with students, facilitating and guiding their learning in research, theory, and laboratory sessions. They will also have demonstrated ability to conduct research and (at all levels, but particularly at Level C and D) a willingness to develop a program of education-related research over time.

We are therefore looking for Sydney Horizon Educators who have:

  • a PhD or nearly completed a PhD in an academic field relevant to the discipline
  • experience in assessment, feedback and learning by design
  • experience in contributing to outstanding educational design, delivery, evaluation and outcomes
  • a developing network of relationships with key academic, industry or professional institutions partners and stakeholders
  • demonstrated experience in supervising or mentoring others and/or coordinating team activities
  • sound experience of teaching and learning, and the ability to contribute to teaching at undergraduate, honours and postgraduate levels in lecture, tutorial and practical settings.
  • a high level of interpersonal skills including the ability to work collaboratively with colleagues
  • a record of excellent teaching, learning, and assessment practice in a tertiary environment, as evidenced through student and supervisor feedback
  • high-level written and verbal communication skills
  • the capacity to engage students and enable a supportive, inclusive learning environment
  • proven experience in designing, implementing and evaluating teaching and learning initiatives
  • a demonstrated commitment to excellence in undergraduate teaching
  • the ability to work collaboratively with other staff, including professional staff, and foster principles of equity, diversity and inclusion.

Senior Lecturers who, in addition to the above can demonstrate:

  • their knowledge and understanding of the key, strategic, education-related issues in the higher education sector and/or the University
  • their experience as an effective unit, course or program coordinator or director (especially for large classes), as evidenced by student and staff feedback 
  • some experience in people leadership within the higher education sector
  • significant capability in educational leadership, service, governance, and engagement (either through their work at a university or through association with a non-university organisation).

The position level will be determined based on the candidate’s skills, experience, and knowledge assessed by the selection committee.

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.

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.

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, including women. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer.
Find out more about our work on diversity and inclusion.

How to apply

Please prepare and upload a statement indicating how you believe you meet the criteria outlined in the advertisement (maximum 3 × A4 pages) and a CV which can be submitted via the Apply button at the top of the page. Applications will be reviewed as received.

Current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Anticipated timelines 

Please refer to the Recruitment Guidelines for key information about this recruitment campaign.

Contact Information

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Helen Efstathiou, Recruitment Consultant. Recruitment Operations, Human Resources on +61 2 8627 7137 or by email hr.recruitmentcampaign@sydney.edu.au

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Lecturer-in-Mathematics

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