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

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

Postdoc in Mathematical Biology at Univ. Sydney

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Location: School of Mathematics and Statistics, The University of Sydney
Employment Type: Full time 2 year fixed term
Duration: 2 years fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 13 August 2023

About the opportunity

We are seeking to appoint a Postdoctoral Research Associate in Mathematical Biology (with a focus on modelling the immune system) to conduct innovative research in mathematical and computational modelling of immune system dynamics. The position will be under the supervision of Prof Peter Kim (University of Sydney).

Some of your responsibilities will be to:

• work under the supervision of Prof Peter Kim in collaboration with Prof Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and Prof Peter Lee (City of Hope and Beckman Research Institute, Duarte, USA)
• develop mathematical and computational models of immune dynamics
• write scholarly papers for publication in academic journals
• present research at seminars, conferences, and workshops
• teach undergraduate courses (approximately 26 lecture hours and 24 tutorial hours per year)

This position has been made possible by the awarding of an Australian Research Council Discovery Project to chief investigators Prof Peter Kim (University of Sydney), Prof Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and partner investigator Prof Peter Lee (City of Hope and Beckman Research Institute, Duarte, USA).

To learn more about the School of Mathematics and Statistics click here.

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/Darlington-Campus/Research-Associate-in-Mathematical-Biology–with-a-focus-on-Modelling-the-Immune-System-_0105303-1.

Postdoctoral Research Fellow in Statistical Mechanics

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Location: School of Mathematics and Statistics, The University of Melbourne
Level: A/B
Duration: 2 years
Closing date: 5 August 2023

This is an exciting opportunity to work on the Australian Research Council funded project “Transformative simulation techniques for complex networks” with a team of esteemed researchers led by Professor Aleks Owczarek and Dr Nicholas Beaton. The project aims to expand the simulation of single-lattice polymer models in statistical mechanics to a range of complex topologies and complicated interacting environments using next generation simulation algorithms on modern computational clusters.

The project provides a unique platform to collaborate with leading researchers around the world based at the Queen Mary University of London, University of British Columbia and Swinburne University of Technology.

You will significantly contribute towards the research effort of the team and to develop your research expertise with an increasing degree of autonomy under the guidance (at Level A) and in collaboration (at Level B) of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals. In particular you are expected to progress the research agenda described in the ARC DP230100674 proposal as developed by the CIs, and contribute to teaching, training, scientific mentoring and supervision of students

For more information and to apply, see https://jobs.unimelb.edu.au/caw/en/job/913201/postdoctoral-research-fellow-in-statistical-mechanics.

FairML Postdoc opportunity at CSIRO

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Location: CSIRO’s Data61
Closing Date: 31 August 2023
Duration: 3 years

Machine Learning (ML) is increasingly used to inform high-stake, human-centric decisions including credit scoring and sentencing in the judiciary system. But ML algorithms are well-known to exhibit biases disadvantaging people from certain ethnicities and genders. Fairness research has contributed more equitable algorithms and has increased our understanding on different bias sources. However, an understanding of how these bias sources combine to forge the overall bias is still lacking. This project aims to disentangle ML-bias into algorithmic and data bias focussing on intersectional subgroups. The techniques developed can then be used to analyse biases in threatened species management and human–machine collaboration.

For more information and to apply, click here.