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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.

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.

Postdoctoral Research Associate in Statistical Bioinformatics@Sydney

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

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.

Postdoctoral Research Associate in Mathematics and AI @Sydney

Location: Sydney Mathematical Research Institute (SMRI), The University of Sydney
Employment Type: Full time, located at the Camperdown Campus
Duration: 3 years fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 18 January 2023

• Full time, 3 years fixed term, located at the Sydney Mathematical Research Institute (SMRI)
• Opportunity to contribute to research focused on mathematics and artificial intelligence and be part of world-class team of mathematicians

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.

The University of Sydney is welcoming applications for a Postdoctoral Research Associate in Mathematics and AI. The successful applicant will undertake research embedded in one of the research groups in the School of Mathematics and Statistics and will be affiliated with SMRI under the supervision of Professor Geordie Williamson. Preference will be given to candidates working in the areas of applied mathematics, or theoretical or applied statistics, and who will be able to build capacity in these areas at SMRI through the organization of seminars, conferences, or outreach activities.

Your key responsibilities will be to:

• demonstrate research excellence in mathematics and its interactions with AI
• develop research collaborations
• assist with grant writing and publishing original work
• demonstrate development and implementation of algorithms in mathematics and machine learning
• develop your profile and the profile of SMRI in the areas of mathematics and AI through conferences and seminars.

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 Doctorate or PhD (or near completion) in mathematics or computer science
• primary research interests in mathematics and AI
• proven research excellence in these areas
• experience developing software, potentially with machine learning components
• demonstrated evidence of independent research ability and potential in an area of mathematics
• experience in research record keeping, preparation of research papers and presentation of seminars
• demonstrated excellence in written and oral communications skills, interacting with a variety of researchers.

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-Mathematics-and-AI_0098843-3.

Postdoctoral Research Associate in Mathematics and Statistics @Sydney

Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time
Duration: full time, 3 years fixed term
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 9 January 2023

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.

The University of Sydney is welcoming applications for a Postdoctoral Research Associate in Mathematics and Statistics. The successful applicant will undertake research embedded in one of the research groups in the School of Mathematics and Statistics and will be affiliated with SMRI under the supervision of Professor Stephan Tillmann. Preference will be given to candidates working in the areas of applied mathematics, or theoretical or applied statistics, and who will be able to build capacity in these areas at SMRI through the organisation of seminars, conferences, or outreach activities.

Your key responsibilities will be to:

• demonstrate research excellence in mathematics or statistics
• develop research collaborations
• assist with grant writing and publishing original work
• develop your profile and the profile of SMRI in the areas of applied mathematics or statistics through conferences and seminars
• enhance relationships with outputs such as research and development, commercialisation, improved practices, and policy development.

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 teach 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 statistics
• primary research interests in applied mathematics, or theoretical or applied statistics
• proven research excellence in these areas
• demonstrated evidence of independent research ability and potential in an area of applied mathematics, or theoretical or applied statistics
• experience in research record keeping, preparation of research papers and presentation of seminars
• experience in organisation of seminars, conferences or outreach activities
• demonstrated excellence in written and oral communications skills, interacting with a variety of researchers and stakeholders.

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-and-Statistics_0098770-1.

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

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

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

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.

Postdoctoral Research Associate in Discrete Geometry / Combinatorial Topology @Sydney

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.