Lecturer in Mathematics @Macquarie

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Location: School of Mathematical and Physical Sciences, Macquarie University
Employment Type: Full time, continuing
Salary package: Level B from $110,274 to $130,472 per annum, plus 17% employer’s superannuation and annual leave loading.
Closing Date: 11:59 pm; Sunday 5 March 2023

About the opportunity

  • Excellent research and collaboration opportunities
  • Progressive flexible working arrangements
  • Supportive and collegial work environment

We are looking to appoint an outstanding early career academic with expertise in one of our current areas of strength in Mathematics and to contribute across research (40% of their time), teaching (40%) and service (20%) in this balanced academic position. Current areas of strength in pure mathematics include category theory, geometric analysis and harmonic analysis, and analysis of partial differential equations; while in applied mathematics, areas of strength include dynamics, waves and mathematical modelling. The successful candidate will have potential to grow the reputation of the mathematics discipline at Macquarie University.

To be considered for this position, candidates must attach to their application a document responding to the selection criteria below, together with a copy of their curriculum vitae.

Essential criteria:

• A PhD in Mathematics, or related field
• Demonstrated commitment and capability in delivering high quality and innovative teaching at undergraduate and postgraduate levels
• Demonstrated ability in outstanding research in mathematics that aligns with School research areas, as evidenced by independent or lead-author publications in top tier journals
• Potential to secure research grant support from external funding agencies
• Potential to successfully supervise graduate students and mentor research students and early career researchers
• Experience of teaching university-level Mathematics units similar to those offered by the School
• Willingness to contribute to all activities of the School, including in service and leadership
• Strong communication skills including the ability to work effectively and collaboratively with key internal and external stakeholders

Desirable criteria

• Demonstrated success in obtaining research funding

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.

Postdoctoral Research Associate in Statistical Bioinformatics@Sydney

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Location: Camperdown Campus at the School of Mathematics and Statistics, The University of Sydney
Employment Type: Full time
Duration: 18 months fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 6 February 2023

• Full time 18 month fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to make valuable contributions to research in statistical bioinformatics and biomedical data science

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 seeking to appoint a Postdoctoral Research Associate to work on a project entitled ‘Multiscale data integration for single cell spatial genomics’. The successful candidate will work under the supervision of Dr Shila Ghazanfar on developing new statistical and algorithmic techniques to understand single cell spatial genomics data. This project has recently been funded by the Chan Zuckerberg Initiative.

Technological advances in measuring gene expression in a spatially resolved manner have resulted in several tour-de-force publicly available datasets, often accompanied by sample-matched dissociated single cell RNA-seq or single cell multi-omic measurements. However, many integrative data analysis tasks for spatial genomics are performed using tools designed with dissociated single cell RNA-seq data in mind, effectively ignoring the specific data structures of spatial genomics data. This project will develop new data science techniques for multiscale data integration of single cell spatial genomics, with applications in several collaborative contexts.

Your key responsibilities will be to:

• undertake research in statistical bioinformatics for single cell spatial genomics
• publish research papers
•

demonstrate research excellence
• assist with grant writing and publishing original work
• participate in research group meetings and other activities
• formulate and refine statistical and computational methods for single cell spatial genomics data integration
• develop software using the R language and contribute to Bioconductor.

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.

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

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 bioinformatics, data science, computer science, computational biology 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
• research strengths in state-of-the-art high dimensional analysis of complex data
• superior computer programming or software development skills in R or similar
• excellent communication (written and verbal), organisational and problem-solving skills with attention to detail
• a 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/en-US/USYD_EXTERNAL_CAREER_SITE/job/Postdoctoral-Research-Associate-in-Statistical-Bioinformatics_0100807-2https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Postdoctoral-Research-Associate-in-Statistical-Bioinformatics_0100807-2.

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

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Location: Camperdown Campus at the 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; 22 February 2023

• Full time, 2 years fixed term, located located on the Camperdown Campus
• 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. Furthermore, we will apply dynamical systems theory to understand existing machine learning algorithms.

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.

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

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 Mathematics and AI 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 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-_0101102-1.

Associate Professor/Professor in Computational Algebra @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; 1 March 2023

• 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 a Mathematician who is internationally recognized as a leading academic in the area of Computational Algebra. The successful candidate will combine a research track record of impactful publications and success in competitive research grants with a solid track record of teaching and experience in supervising higher degree research students.

About you

The successful applicant will take a leadership role in the Computational Algebra group in the School of Mathematics and Statistics at The University of Sydney. This group is responsible for maintaining and developing the Magma software package, one of the leading computational algebra tools for computations in algebra, number theory, algebraic geometry, and algebraic combinatorics, which has become an essential part of the working lives of mathematicians around the world. The successful applicant will take a leadership role in managing the group and the Magma software within the University, acting as the supervisor of members of the group and working in close cooperation with founding director Professor John Cannon.

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-Computational-Algebra_0100536-3

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, Senior Talent Partner, Senior Talent Acquisition will be online to support and advise the Committee. Please contact Lucy 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.