Could you design the new AustMS logo?

The leading society representing the mathematics profession in Australia is about to undergo a rebrand – and we need your help! 

Mathematics is an incredibly broad topic to cover and we are having difficulty refining exactly what symbols and design elements represent the AustMS’s member base (i.e. you) and mathematics in general. So we’re asking for your help to come up with some ideas to use as a starting point to develop a new visual identity for AustMS.

You can submit a polished design with beautiful colours, or simply describe your idea with a quick sketch and some dot points – we don’t mind. All we ask is something that embodies what the AustMS and mathematics represent to you.

The winner will have the opportunity to work with us here at Miscible to develop, refine and transform their idea into a brand rollout for the AustMS and its members.

Please submit all designs/docs via email to molly@miscible.co and office@austms.org.au.

Entries close on September 15, 2022.

Good luck!

DOWNLOAD THE DESIGN BRIEF

Postdoctoral Research Associate in Deep Learning Theory @USydney

Closing date: 23 June 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Postdoctoral Research Associate in Deep Learning Theory
Remuneration: Level A $105,350–$112,462 p.a.+17% superannuation
Status: 2-year, Full time fixed term position.
Reference>: 0118883-1

About the opportunity

The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in Deep Learning Theory to work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks.

Your key responsibilities will be to:

  • work on the ARC DP project on approximation theory of structured neural networks
  • work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks
  • complete simulations and carry out related applications of deep learning theory
  • help with academic communications. 

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 Deep Learning Theory who has:    

  • a PhD in mathematics, applied mathematics, data science, or a related area
  • an excellent track record of publishing high-quality papers on deep learning theory, machine learning theory, or approximation theory 
  •  research experience in deep learning theory, machine learning theory, and approximation theory 
  • a solid mathematics background
  • good communication skills.

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

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. 

Please click on the following link to apply directly through the University of Sydney’s website: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Deep-Learning-Theory_0118883-1

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

Lecturer or Senior Lecturer in Pure Mathematics @Adelaide

Location: School of Computer and Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: Continuing
Remuneration: Level B ($107,276–$126,894) or Level C ($130,810–$150,431) + 17% superannuation
Closing Date: 13 June 2024

The School of Computer and Mathematical Sciences is seeking to fill a Continuing Level B or C position in Pure Mathematics. The School is committed to a diverse and inclusive workplace and warmly welcomes applications from candidates who can contribute to the diversity of the School community.

How to apply

Learn more about this position and apply: click here.

Lecturer or Senior Lecturer in Dynamics/Modelling/Computation @Adelaide

Location: School of Computer and Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: Continuing
Remuneration: Level B ($107,276–$126,894) or Level C ($130,810–$150,431) + 17% superannuation
Closing Date: 13 June 2024

The School of Computer and Mathematical Sciences is seeking to fill a Continuing Level B or C position in dynamics, modelling and computation. The School is committed to a diverse and inclusive workplace and warmly welcomes applications from candidates who can contribute to the diversity of the School community.

How to apply

Learn more about this position and apply: click here.

Associate Research Fellow in Computational Statistics @Wollongong

Location: The School of Mathematics and Applied Statistics, University of Wollongong
Employment Type: Fixed Term, 2 years
Duration: Level A
Closing Date: Thursday 20 June 2024, 11:59 PM (AEST).

(JOB) Exciting Postdoc position in Bayesian Computational Statistics at the University of Wollongong, Australia.

If you are a highly motivated postdoctoral researcher with interests in statistical computing, methodology, and machine learning, apply to join us at the School of Mathematics and Statistics, University of Wollongong. You will be working with Professor Sumeetpal Singh within the specific initiative “Advanced Computationally Intensive Methods for Bayesian Analysis of High-dimensional Models.”

You will be working in the National Institute for Applied Statistics Research Australia (NIASRA), which is based at the school. Wollongong is a highly liveable city on the beautiful Illawarra coast, about 50 miles (80km) south of Sydney, Australia.

The deadline for applications is Thursday 20 June 2024, 11:59 PM (AEST).

Informal enquiries to Sumeetpal Singh  sumeetpals@uow.edu.au

Learn more about this position and apply: https://www.uow.edu.au/about/jobs/jobs-available/#en/sites/CX_1/job/3620/?utm_medium=jobshare

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.