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.

AustMS calls for improved teaching standards in Australian schools

AustMS has joined a consortium of professional bodies in mathematics and statistics calling for Commonwealth and state action to improve teaching in mathematics in schools. Two in five current Australian maths teachers were never trained to teach mathematics, and now find themselves teaching ‘out of field’. These committed teachers need support and upskilling.

A new review highlights the out-of-field teaching problem. While the Government has released a National Teacher Workforce Action Plan, which AustMS fully supports, we believe it must include upskilling initiatives in addition to initiatives to improve teacher supply and retention. There are currently thousands of teachers already in our classrooms who are affected, and tens of thousands of students who could benefit, in addition to an Australian economy that depends on a mathematically trained workforce. The review also highlights retraining programs that have been successful in the Republic of Ireland and the United Kingdom.

The consortium includes the Australian Mathematical Sciences Institute (AMSI), the Australian Mathematical Society (AustMS), the Statistical Society of Australia (SSA), the Mathematics Education Research Group of Australasia (MERGA) and the Actuaries Institute.

The review was authored by Michelle Barker, Merrilyn Goos and Mary Coupland. Details of the consortium’s position and recommendations can be found here.

https://amsi.org.au/relieving-out-of-field-teaching

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.

Lecturer/Senior Lecturer in Statistics/Mathematical Data Science @UQueensland

Campus :The School of Mathematics and Physics, University of Queensland
Remuneration: Level B / Level C
Status: Continuing
Reference: R-35375
Closing date: 3 April 2024

• School of Mathematics and Physics
• Join a school that is recognised internationally for its high-quality teaching and impactful research.
• Family-friendly workplace that offers flexible work options, holding the Silver Pleiades Award for a positive working environment and the School encourages applications from individuals in groups traditionally under-represented in the mathematical sciences.
• Join a university ranked in the world’s top 50.
• Based at our St Lucia Campus.

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.
At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.
As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development

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

About this Opportunity

We are seeking a candidate with a strong research background in statistics or mathematical data science for a continuing Teaching and Research position. The role involves active participation in undergraduate and postgraduate teaching, curriculum development, and service courses. The successful appointee will supervise Higher Degree by Research (PhD and MPhil), postgraduate coursework, and Honours students while conducting high-quality research. Additionally, responsibilities include administrative tasks, outreach initiatives, and other activities associated with the School.

The School of Mathematics and Physics values diversity and inclusion and actively encourage applications from individuals in groups traditionally under-represented in the mathematical sciences. Further information can be found here.

Key responsibilities will include:

Teaching

  • Teaching across different settings and actively contributing towards educational practice and innovative curriculum design, including online learning and alternative teaching methods.
  • Coordinating courses, preparing and delivering lectures and tutorials, and undertaking assessment and marking for undergraduate and postgraduate courses.
  • Contributing to the development of new programs and course material as needed.
  • Additionally, at Level C: Supporting the ongoing improvement of programs via successful coordination of a significant aspect of a program or a significant contribution to the development or coordination of teaching to ensure courses are engaging, relevant and contemporary.

Research

  • Developing an independent and/or team research program to achieve recognition and impact in the research area.
  • Working with colleagues and postgraduates in the development and conduct of joint research projects and applications for external research funding support as a chief investigator.
  • Maintaining an active and effective record of publishing in high-quality research journals, other appropriate refereed publications and conference publications.
  • Additionally, at Level C: Encouraging, initiating and coordinating strategic collaborative research projects in related area of expertise across University, national and international levels.
  • Supervision and Researcher Development
  • Supervising Honours, Masters and Higher Degree by Research students.

Further information can be found by viewing UQ’s Criteria for Academic Performance.

This is a full-time (100%), continuing Teaching and Research position at Academic Level B or C, commensurate with relevant skills and qualifications. As this role is covered by an Enterprise Agreement, you will also receive regular remuneration increases.

The Level B full-time equivalent base salary will be in the range of AUD$108,201 – $128,201 plus a generous super allowance of up to 17%. The total FTE package will be up to AUD$126,595 – $149,996 annually.

The Level C full-time equivalent base salary will be in the range of AUD$132,201 – $152,202 plus a generous super allowance of up to 17%. The total FTE package will be up to AUD$154,676 – $178,076 annually.

You should possess a PhD or equivalent in statistics, mathematical data science or a closely related field.
Additionally, you should be able to demonstrate:

  • A growing profile of contributions towards a range of teaching responsibilities, evidence for which can include 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 national profile in research in the discipline area, evidence for which can include: a track record of publications in reputed refereed journals and fully-refereed conference proceedings; 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, Masters and Higher Degree by Research students, evidence for which can include: supervisory role contributing to successful completion of Honours, Masters or HDR students; development of supervisee capabilities and skills; demonstrating the responsible conduct of research; and facilitating engagement opportunities for supervisees.
  • Effective performance of internal service roles in conjunction with active contributions to external activities.

Additional Level C:

  • An established profile of effective contributions towards a range of teaching responsibilities, including improving curriculum design and assessment practices, modifying teaching and learning approaches to achieve enhanced learning outcomes, and leading courses, discipline plans or programs.
  • Evidence of building and maintaining education collaborations and undertaking professional learning in teaching.
  • National recognition, with a developing international profile, in research in the discipline area, evidence for which can include: an established record of publications in reputed refereed journal and conference presentations; a contribution to the transfer of knowledge, technology and practices to research end users, and the development of partnerships with research end users or external collaborators.
  • Evidence of contributing to and often leading successful applications for external research funding.
  • An established record of effective supervision of Honours and Higher Degree by Research students to successful completion, evidence for which can include: supervisory role contributing to successful completion of Honours or HDD students; developing supervisee capabilities and skills, leading others in the responsible conduct of research, and facilitating engagement opportunities for supervisees.
  • Demonstrated achievement and initiative in internal service roles in conjunction with an established record in external activities.

Candidates who meet most, but not all, of these selection criteria are still encouraged to apply.

Relocating from interstate or overseas? We’ll support you with the visa sponsorship process and a relocation support package. You can find out more about life in Australia’s Sunshine State here.

Questions

For more information about this opportunity, please contact Professor Jorgen Rasmussen via smp.head.maths@uq.edu.au.

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

Want to Apply?

To submit an application for this role, go to the UQ Careers portal https://careers.uq.edu.au/ and search R-35375. Please use the Apply button.

All applicants must upload the following documents in order for your application to be considered:

  • Resume
  • Cover letter addressing the ‘About You’ section

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 the 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 talent@uq.edu.au.

Applications close 3 April 2024 at 11.00pm AEST (R-35375). Applicants invited for interview will be asked to present a shortened undergraduate-level mock lecture and a research seminar on the afternoons (local Brisbane time) of April 30 & 1 May as part of the selection process. Please note that interviews have been scheduled for 2 May 2024.

Links for application/more information

For candidates to apply, they will need to please visit https://uq.wd3.myworkdayjobs.com/en-US/uqcareers/details/Lecturer—Senior-Lecturer-in-Statistics-Mathematical-Data-Science_R-35375-1?q=%20R-35375.

Research Fellow in Discrete Mathematics @Monash

Location: School of Mathematics, Monash University
Employment Type: Full-time
Duration: 3-year fixed-term appointment
Remuneration: Level A
Closing Date: 14 April 2024
Job No. 662881

The School of Mathematics at Monash University invites applications for the position of Research Fellow in Discrete Mathematics.

A Level-A Research Fellow is expected to contribute towards the research effort of the University and to develop their research expertise through the pursuit of defined projects relevant to the particular field of research. In particular, the successful applicant will work within the Monash Discrete Mathematics Research group, and will perform research on the topic of graph product structure theory, as specified in the 2024 ARC Discovery Project led by Professor David Wood. The main tasks are the discovery of new mathematical results in this field, and writing up these discoveries in research papers for scholarly publication.

Confidential enquiries to: sci-maths-jobs@monash.edu

Applications must be made via: https://careers.pageuppeople.com/513/cw/en/job/662881/research-fellow?_ga=2.251033670.1938318884.1710110993-1613147024.1657156011.

Research Fellow in Low-Dimensional Topology @Monash

Location: School of Mathematics, Monash University
Employment Type: Full-time
Duration: 3-year fixed-term appointment
Remuneration: Level A
Closing Date: 17 April 2024
Job No. 662911

The School of Mathematics at Monash University invites applications for the position of Research Fellow in Low-Dimensional Topology

Unlock the potential of your research journey as a Level A Research Fellow in the vibrant and collaborative environment of the Faculty of Science at Monash University. The School of Mathematics, one of the largest within the Faculty, is at the forefront of innovation and knowledge creation, fostering close collaborations with esteemed Schools and Departments such as Physics and Astronomy, Earth, Atmosphere, and Environment. Additionally, we pride ourselves on interdisciplinary partnerships with Faculties including Business and Economics, Medicine, Information Technology, Engineering, and the Monash Data Futures Institute.

As a 3-year Research Fellow, you will work under the guidance of Prof Jessica Purcell in a research topic fitting with the low-dimensional topology group at Monash. Current lines of research include, but are not restricted to: interactions between low-dimensional and quantum topology, hyperbolic geometry, knot theory, and computational topology.

Confidential enquiries to: sci-maths-jobs@monash.edu

Applications must be made via: https://careers.pageuppeople.com/513/cw/en/job/662911/research-fellow-in-lowdimensional-topology.

Lecturer in Mathematical Modelling @QUT

Campus: School of Mathematical Sciences, Faculty of Science, Queensland University of Technology, Gardens Point
Remuneration: Level B
Duration: 3 years
Closing date: 31 March 2024

Queensland University of Technology (QUT) is advertising a Lecturer in Mathematical Modelling position. Full position description can be found online. For information, please email adrianne.jenner@qut.edu.au

For further information about the position please see https://shorturl.at/hpDTZ.