Associate Professor/Professor in Statistical Data Science @Sydney

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Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time
Duration: continuing
Remuneration: competitive (see application link below)
Closing Date: 11.59pm; 27 November 2022

• Exciting opportunity for an outstanding senior academic who is a leading authority within their discipline
• Located on the Camperdown Campus at the School of Mathematics and Statistics
• Continuing position with an attractive remuneration package

About the opportunity

The School of Mathematics and Statistics is one of the largest mathematical sciences schools in Australia and is world-renowned for its research in pure mathematics, applied mathematics and mathematical statistics. The school attracts a strong body of excellent students as well as a large number of outstanding researchers, many of whom hold Fellowships and grants.

We are seeking to appoint an outstanding Associate Professor/Professor in Statistical Data Science to our School of Mathematics and Statistics. The School of Mathematics and Statistics is looking to expand its capacity in research and engagement in Data Science & Applied Statistics. Therefore, we are looking for a candidate who has a wide network of established relationships with key academic, industry and professional institutions, partners and stakeholders that can be leveraged to enhance the standing of the specialty, school, faculty and University. Additionally, The University of Sydney is planning to implement a new online masters course, the Master of Data Analytics. The course will be led by the Faculty of Science and draw on expertise from across the University to create a distinctive offering that will support career advancement across industries and sectors.

Your key responsibilities will be to:

• undertake research in multiple time-scale dynamical systems theory and its application
• publish research papers
• demonstrate research excellence.

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 an Associate Professor/Professor in Statistical Data Science who has:

• curriculum design expertise that can connect modern research in Statistics to teaching and engagement opportunities in Data Science
• experience in online teaching and curriculum development and will lead and teach into the Master of Data Analytics initiative, coordinating its development, implementation, and the associated UoSs.
• an independent and active research line in Applied Statistics or Data Science, compatible with the high standards and aspirations of our school and University
• a distinguished record of teaching excellence shown through student outcomes
• a distinguished record in research commensurate with your level of experience including competitive research grants, publications, and evidence of recognition within the broader discipline
• the potential to attract external funding and connect to partners both external and internal to the University
• experience supervising and supporting higher degree research students and Honours students.

We are ideally looking to appoint at the Associate Professor or Professor level. For exceptional talent, however, we would also consider emerging scholars appointable at the Senior Lecturer level or industry professionals capable of operating effectively in an academic environment and appointable as a Professor of Practice.

Further information about the typical responsibilities for each of these types of appointments is included in the Position Descriptions on the application page.
NOTE: This is a regular 40:40:20 position but it will be directed to the coordination of the Master of Data Analytics.

Term and remuneration

This will be a continuing appointment. The successful candidate will be offered a competitive remuneration package commensurate with the responsibilities of the position and the candidate’s relevant experience and qualifications.

Other

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.

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/Associate-Professor-Professor-in-Statistical-Data-Science_0097939-1

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact: Lucy Porter (Senior Talent Partner, Senior Talent Acquisition, Recruitment Operations) on +61 429 771 115 or by email lucy.porter@sydney.edu.au

© The University of Sydney

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

Lecturer or Senior Lecturer in Mathematics @Adelaide

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Location: School of Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: 3-year appointment (convertible)
Remuneration: Level B ($102,952–$121,779) or Level C ($125,537–$144,368) + 17% superannuation
Closing Date: 28 October 2022

Fixed term position for 3 years, convertible to continuing, subject to performance and funding availability.

Flexible work arrangements can be negotiated with the right candidate.

The School of Mathematical Sciences is seeking an outstanding individual, passionate about teaching, to support Haide College, its joint venture with Ocean University in Qingdao, China. In this education-focused role, you will be responsible for the delivery of a range of courses at all levels of the undergraduate mathematics curriculum with an emphasis on applied mathematics, statistics and data science. You will lead the implementation of innovative delivery modes through a combination of online teaching and regular teaching visits to China, to provide a global education for students in the joint program.

The Faculty of Sciences, Engineering and Technology aims to increase the diversity of its staff. Applications from women are particularly encouraged.

How to apply

Learn more about this position and apply: click here.

Research Fellow in Dynamical Systems @Monash

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The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on Dynamical Systems. The Dynamical Systems group is expanding and is currently looking to hire three new Research Fellows. Applicants must have a PhD in Mathematics or a related field. It is also expected that they have a sound knowledge and experience in Dynamical Systems research. The Research Fellows will work on computational and theoretical aspects of Dynamical Systems, in particular problems related to hyperbolic dynamics, blenders, the n-body problem, and Hilbert’s 16th problem. Candidates with a background in complex dynamics are also welcome to apply. The research is partially supported by the Australian Research Council through the Discovery Project (DP220100492 — Computer-aided proofs for non-hyperbolic dynamics and blenders) with investigators Lorenzo Diaz (PUC-Rio, Brazil), Andy Hammerlindl (Monash), Katsutoshi Shinohara (Hitotsubashi University, Japan), and Warwick Tucker (Monash).

Job No.: 641447

Location: Clayton campus, Monash University
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $72,927–$98,975 p.a. Level A (plus 17% employer superannuation)
Closing Date: Monday 31 October 2022, 11:55 pm AEDT

Applications must be made via the Monash website: see here.

Research Associate or Research Fellow in Statistical Modelling @Macquarie

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Location: School of Mathematical and Physical Sciences, Macquarie University
Employment Type: Full time
Duration: 3-year fixed term appointment
Remuneration: From Level A Step 6 (PhD required) $97,621 to $104,622 p.a. or Level B from $110,274 to $130,472 p.a., plus 17% employer’s Superannuation and annual leave loading.
Closing Date: 11:59 pm; 8 November 2022

About the opportunity

This role is open to application by statisticians or data scientists who have a strong research interest and growing reputation in statistical modelling or cognate fields with demonstrated interest in interdisciplinary and/or applied research. The successful candidate will support the research of Professor Samuel Muller, Head of School, and will collaborate with members of his research group, located at Macquarie University and at two other Australian universities.

The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students as well as assist and/or lead statistical consulting activities:

•Variable selection and inference for statistically challenging data, including for longitudinal, clustered and correlated univariate and multivariate responses;
• Investigating theoretical properties of regularization methods in various asymptotic scenarios and improving these methods by learning from resampling-based stability information;
• Developing model visualisation methods to enable interactive and dynamic model building;
• Robust selection and estimation in regression type models;
• Classification and improved prediction methods for multiplatform data;
• Devising statistical methods for the analysis of multi-layered and structured data in bioinformatics, microbiome and neuroscience applications

How to apply

Learn more about this position and apply https://mq.wd3.myworkdayjobs.com/en-US/CareersatMQ/job/Wallumattagal-Campus-North-Ryde/Postdoctoral-Research-Fellow-or-Research-Fellow-in-Statistical-Modelling–Level-A-or-B-_R000009353-1.

Postdoctoral Research Associate in Mathematics/Multiple Time-Scale Dynamical Systems @Sydney

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Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time
Duration: 2-year fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 23 October 2022

• Full time 2 year fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to make valuable contributions to research in multiple time-scale dynamical systems

About the opportunity

We are seeking to appoint a Postdoctoral Research Associate to work on the project ‘A coordinate-independent theory for multi-time-scale dynamical systems’ which has recently been funded by the Australian Research Council. The aim of this project is to develop a comprehensive theory for multi-scale problems (i.e., more than two scales) with non-uniform scale splitting within the framework of geometric singular perturbation theory, and, hence, provide a firm theoretical foundation for the observed dynamical hierarchy in biochemical reaction networks described by non-standard multi-scale problems. The successful candidate will work under the supervision of Professor Martin Wechselberger.

Your key responsibilities will be to:

• undertake research in multiple time-scale dynamical systems theory and its application
• publish research papers
• demonstrate research excellence.

The School of Mathematics and Statistics of the University of Sydney is one of the largest in Australia. It has more than 89 academic staff to supervise research and teaching 74 postgraduate students and 925 equivalent full-time student-load undergraduate students.

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 who has:

• a PhD (or near completion) in mathematics
• expertise in multi-scale dynamical systems
• knowledge about modelling and analysis of biological systems and biochemcial reaction networks is desirable
• demonstrated ability to conduct research/scholarly activities under limited supervision
• the ability and a willingness to collaborate in multidisciplinary teams to contribute to long-term research goals
• a strong track record of publishing their research
• excellent communication (written and verbal), organisational and problem-solving skills with attention to detail
• high level of interpersonal skills, including the ability to work collaboratively with colleagues
• a demonstrated ability to complete work in timely fashion and to write up results for publication.

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-Mathematics–Multiple-Time-Scale-Dynamical-Systems-_0094692-1.

Postdoctoral Research Associate in Mathematics/Dynamical Systems and Machine Learning @Sydney

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Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time
Duration: 2-year fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 23 October 2022

• Full time 2 year fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to make valuable contributions to research at the interface between Dynamical Systems and Machine Learning

About the opportunity

We are seeking to appoint a Postdoctoral Research Associate to work on a project entitled “A dynamical systems theory approach to machine learning”. The successful candidate will work under the supervision of Professor Georg Gottwald on developing, understanding and applying machine learning techniques using tools from dynamical systems theory. This project has recently been funded by the Australian Research Council.


Forecasting the future state of a high-dimensional complex multi-scale system is a challenge we face in areas ranging from climate science to epidemiology. Even when basic physical mechanisms have been identified, the actual evolution equations are often unknown. This project will develop a computationally cheap machine learning framework for forecasting. We will develop mathematical theory underpinning the novel methodology, as well as applying it to the perennial problem of subgrid-scale parametrisation in climate modelling.

Your key responsibilities will be to:

• undertake research at the interface between dynamical systems and machine learning
• publish research papers
• demonstrate research excellence.

The School of Mathematics and Statistics of the University of Sydney is one of the largest in Australia. It has more than 89 academic staff to supervise research and teaching 74 postgraduate students and 925 equivalent full-time student-load undergraduate students.

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 who has:

• a PhD or near completion in mathematics or a relevant area
• relevant expertise in dynamical systems and machine learning desired
• demonstrated ability to conduct research/scholarly activities under limited supervision
• the ability and a willingness to collaborate in multidisciplinary teams to contribute to long-term research goals
• a strong track record of publishing their research
• excellent communication (written and verbal), organisational and problem-solving skills with attention to detail
• high level of interpersonal skills, including the ability to work collaboratively with colleagues
• a demonstrated ability to complete work in timely fashion and to write up results for publication.

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-Mathematics–Dynamical-Systems-and-Machine-Learning-_0091618-1.

Lecturer in Applied Mathematics @UNSW Canberra

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Location: UNSW Canberra Campus
Employment Type: Full-time
Duration: fixed term 5 years
Remuneration:  $112 697 – $132 832 p.a. + 17% superannuation (Level B)
Closing Date: 19 September 2022

UNSW Canberra is a campus of the University of New South Wales located at the Australian Defence Force Academy in Canberra. 

As a Mathematics Lecturer in the School of Science, you will showcase your knowledge and experience in Applied Mathematics in the areas of teaching and research in the School. In particular, you will be responsible for delivering, in collaboration with colleagues from the School of Engineering, an introductory computer science course taken by all engineering students. You will also be expected to teach introductory and upper-level mathematics courses to our Science majors, and to address the growing demands for mathematics support teaching. You will also be involved in advancing the School of Science at UNSW Canberra’s international profile by conducting high quality scholarly research in Applied Mathematics, aligning with the School’s research priorities and contributing to the supervision of research students.

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

Lecturer/Senior Lecturer in Data Analytics @Waikato, NZ

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Location: School of Computing and Mathematics Sciences, University of Waikato, New Zealand
Employment Type: Continuing
Vacancy Number: 420379
Remuneration: Lecturer: $80,837 to $97,051 per year; Senior Lecturer: $99,780 to $130,902 per year
Closing Date: 20 September 2022

The School of Computing and Mathematical Sciences comprises a number of Academic Programmes including, Mathematics, Statistics/Data Analytics, Computer Science, Software Engineering and Design. The School offers a range of qualifications at undergraduate, post-graduate and professional training levels.
The Division of Health, Engineering, Computing and Science (HECS) undertakes teaching and research in a range of core disciplines grouped under four academic schools. The Division also has several research units, and commercial/equipment units which embody staff and research activities.

Who are you?

You will have a PhD or Masters qualification in Statistics, Data Analytics or a relevant discipline area. This will be supported by your broad and in-depth knowledge of the following areas: Data Analytics and Statistics, the use of Statistics in other Science disciplines and a demonstrated high standard of tertiary level mathematics. Your expertise and interests will be reflected in an established record of quality published research or equivalent at national and preferably international level, with the potential to attract external research funding.
You will have demonstrated success in undergraduate teaching. You will bring your proven ability to communicate effectively with students and staff, along with your commitment to innovative teaching methods.

About the role:

This is an immense opportunity to be part of building a data analytics group that is vibrant, collaborative and with real capacity to provide outstanding teaching across the university, as well as to service the needs of both University-wide research projects and external partners. In the last 12 months alone, there has been a rapid increase in the number of cross-disciplinary research projects between data analytics staff and the rest of the University. This is an exciting time to join us – the market trends in data analysis mean our group is in a place of huge potential.

The role requires your expert knowledge of Data Analytics, applied as a Lecturer or Senior Lecturer or Teaching Fellow. The four pillars of the role require:
• Teaching and Learning: Preparing and delivering innovative, research-informed lectures and the assessment of that learning
• Supervision: Supervise honours, graduate and postgraduate students
• Research: Build and maintain an active research programme and conduct quality research and contribute to knowledge development of your specialist areas through scholarship and publication
• Service and Administration: Carry out administration and service relevant to the role.

Why should you apply for this position?

You can be part of our success! Our University provides a unique and satisfying work environment with many benefits for our staff including flexible working, study opportunities, generous superannuation and leave provisions. We stand proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths.

At Te Whare Wānanga o Waikato, the University of Waikato, we embrace equity and diversity; therefore, we strongly encourage applicants with the relevant capabilities from all backgrounds to apply. We would greatly value seeing applicants from our Māori and Pacific communities.

For a confidential conversation about the role, please contact Annika Hinze, annika.hinze@waikato.ac.nz

Learn more about this position and apply: https://www.waikato.ac.nz/vacancies/current-vacancies

Postdoctoral Research Associate in Discrete Geometry / Combinatorial Topology @Sydney

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Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full-time
Duration: 2-year fixed term appointment
Remuneration: $97,043–$107,516 p.a. + 17% superannuation (Level B)
Closing Date: 3 October 2022

• Full time 2 year fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to make valuable contributions to research in Discrete Geometry and Combinatorial Topology

About the opportunity

We are one of the largest mathematical sciences schools in Australia. We have more than 89 academic staff to supervise research and teaching 74 postgraduate students and 925 equivalent full-time student-load undergraduate students. 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 seeking to appoint a Postdoctoral Research Associate in Discrete Geometry, Combinatorial Topology, or a related field. The Australian Research Council has funded a research program into “Triangulations: linking geometry and topology with combinatorics”, through its Discovery Grant scheme, with the Chief Investigators Dr Jonathan Spreer (University of Sydney, Australia) and Professor Francisco Santos (Universidad de Cantabria, Santander, Spain).

Your key responsibilities will be to:

• undertake research in the areas of combinatorial topology, discrete geometry, and, in a broader sense, in geometric topology
• present research results at seminars and domestic and international conferences
• publish research papers
• support teaching activities and the supervision of undergraduate and postgraduate students..

An active interest in establishing close collaborations between the Australian and the European research communities in the field is highly desirable.

The Research Associate will be based at the University of Sydney, and visits to Universidad de Cantabria, Spain are planned to work with Professor Francisco Santos during the project.

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 who has:

• a PhD or near completion in pure mathematics and equivalent combination of training and experience
• demonstrated ability to conduct research/scholarly activities under limited supervision
• the ability and a willingness to collaborate in multidisciplinary teams to contribute to long-term research goals
• a strong track record of publishing their research
• excellent communication (written and verbal), organisational and problem-solving skills with attention to detail
• high level of interpersonal skills, including the ability to work collaboratively with colleagues.

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-Discrete-Geometry—Combinatorial-Topology_0094551-1.

Could you design the new AustMS logo?

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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