Research Fellow in Dynamical Systems @Monash

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 30 May 2023, 11:55 pm AEDT
Job No. 641514

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. Working knowledge of computer-assisted proofs is desirable, but not a firm requirement.

Applications must be made via:

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: $79,784–$107,516 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 30 May 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 Research Associate who has:

• 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
• a PhD (or near completion) in bioinformatics, data science, computer science, computational biology and equivalent combination of training and experience

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:

Lecturer/Senior Lecturer in Pure Mathematics @UNSW

Location: UNSW Sydney, School of Mathematics and Statistics
Employment Type: Full-time (35 hours per week)
Duration: Fixed-term 5 years CTT (Convertible Tenure Track)
Remuneration:  Level B/C, $112k–$157k p.a. + 17% superannuation
Closing Date: 31 May 2023

The purpose of this role is to conduct independent research and deliver excellent teaching in the School of Mathematics and Statistics. A Lecturer (Level B)/ or Senior Lecturer (Level C) academic in Pure Mathematics is expected to carry out activities to develop their scholarly research in areas that align with the research strengths in the School and professional activities both nationally and internationally and to actively contribute to the School’s teaching activities across a range of undergraduate and postgraduate courses.

Women and candidates from diverse backgrounds are particularly encouraged to apply.

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

PhD scholarship: Mathematical Optimization @Sydney

Closing date: 31 May 2023
Campus: University of Sydney, Discipline of Business Analytics
Remuneration: $37,207 (indexed yearly) per annum
Status: 3.5 years with possible 6 month extension 

The PhD Scholarship in Mathematical Optimization within the Discipline of Business Analytics at the University of Sydney will support an outstanding research student to undertake doctoral studies in mathematical optimization.

Potential research topics will be on mathematical optimization broadly defined, and could include theory and algorithms for continuous optimization, stochastic programming, robust/distributionally robust optimization and data-driven optimization, with applications to machine learning, statistics, finance and economics.

The scholarship includes tuition and a living allowance of up to $37,207 (indexed yearly) for up to 3.5 years, with the possibility of a six-month extension subject to approval.


You must:

  • be a domestic or international student
  • have an unconditional offer of admission to undertake PhD on a full-time basis at the University of Sydney Business School
  • hold an Honours degree (First Class) or a First Class Honours Equivalent Degree or a Master’s degree with a substantial research component in a relevant area of study
  • be willing to conduct research under the supervision of Dr Nam Ho-Nguyen.

How to apply

We invite applicants to send the following material via email to:
Dr Nam Ho-Nguyen (

  • An up-to-date CV/resume.
  • Copies of academic transcripts.
  • Name, affiliation and email of two academic referees. We will notify applicants before contacting referees.
  • (Optional) A short (2 page maximum) statement of purpose.