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.

Postdoctoral Research Associate in Mathematics and AI @Sydney

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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.

Applications Open for the AustMS Social Media and News Coordinator – January 27

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AustMS is seeking a person for the role of Social Media and News Coordinator as Vera Roshchina is stepping down from this position shortly.  Thank you Vera for all your great work.

We seek a person with significant ties to mathematics and AustMS, either with a PhD in the mathematical sciences, or a PhD student in the field, or an AustMS member working in industry in the mathematical sciences. We also seek someone with web and social media skills, and preferably with experience in news curation.

Firstly the role services the Society’s social media stakeholders, the website content management group, conference, workshop and event organisers.

Secondly, it curates national and international news feeds for the website, and for social media.

The call is also available here.

A brief position description is attached and also available here. Remuneration is offered.

Contact person: AustMS vice-president, Aidan Sims vice-president@austms.org.au

Applications by email to Aidan closing on Friday 27 January 2023.

Postdoctoral position in harmonic and microlocal analysis@Polish Academy of Sciences

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Location: Institute of Mathematics, Polish Academy of Sciences
Closing Date: 9th January 2023
Status: 2 years

Applications are invited for a 2-year postdoctoral position at the Institute of Mathematics of the Polish Academy of Sciences, in Warsaw, Poland. The successful candidate will work on the project Function spaces for local smoothing, financed by the National Science Center, together with the principal investigator, Jan Rozendaal. The project concerns the construction and use of new function spaces to study local smoothing for wave equations.

The position comes without teaching responsibilities, but with a travel budget. The starting date should be in 2023, but it is otherwise negotiable.

Qualifications:

  • A PhD degree in mathematics, obtained before taking up the position;
  • A research background in harmonic analysis or microlocal analysis;
  • Good communication skills in English.

To apply:

Please submit:

  • A detailed CV, including a list of publications (if applicable);
  • A research statement;
  • At least two letters of recommendation;
  • A signed form consenting to the processing of personal data for the purposes of the recruitment process. This document can be found at https://cloud.impan.pl/s/U5Cb6A1a9EKSLn2.
    All documents should be sent by email, in PDF format, to jrozendaal@impan.pl.

We encourage all qualified candidates to apply, regardless of sex, racial or ethnic origins, religion or belief, disability, age, or sexual orientation.

Deadline

Please submit your application before January 9, 2023 to ensure full consideration.

In case of questions, please contact Jan Rozendaal at jrozendaal@impan.pl.

For more information and to apply, click use the following links:

https://www.impan.pl/wydarzenia/konkursy/2023/postdoc-ncn-rozendaal-podpisane.pdf
https://www.impan.pl/en/sites/jrozendaal/home/grants/function-spaces-for-local-smoothing

Research Associate/Fellow in Optimisation and Operations Research @Curtin

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Closing date: 13 January 2023
Campus: Curtin University, Perth; Curtin Centre for Optimisation and Decision Science
Remuneration: Level A/B $91,431 – $125,937 p.a. +17% superannuation
Status: Fixed-term full-time research position (4 years)

We are seeking a new postdoctoral researcher who is interested in using mathematical and operations research techniques to transform the way companies and governments make decisions. The selected candidate will work on demand-driven research projects with industry, conduct high-quality research in mathematical optimisation and operations research, and help drive research funding opportunities. The position will suit specialists in operations research and mathematical optimisation, as well as computational mathematicians who are interested in pursuing a demand-driven research pathway.

The Curtin Centre for Optimisation and Decision Science is part of the School of Electrical Engineering, Computing, and Mathematical Sciences, which brings together Curtin University’s expertise in data science, artificial intelligence, and digital technologies. Other major collaborative ventures in the school include the Optus-Curtin Centre of Excellence in Artificial Intelligence, the ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Cisco Centre for Networks, and the Curtin Institute for Computation.

Contact details

If you have any further queries regarding the role, please contact Professor Ryan Loxton, Director, Curtin Centre for Optimisation and Decision Science, r.loxton@curtin.edu.au.

If you have a query in relation to the application process, please contact our careers team on curtincareers@curtin.edu.au.

For more information, please click this link.

Lecturer/Senior Lecturer in Applied Mathematics @Sydney

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Closing date: Thursday 12 January 2023; 11:59pm
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Remuneration: Base Salary Level B/C, $113,184 – $159,867 + 17% superannuation
Status: Full time continuing opportunity.
Reference: 0098923

About the opportunity

The University of Sydney is welcoming applications for a Lecturer (B) /Senior Lecturer (C) in Applied Mathematics to join leading experts at the School of Mathematics and Statistics, within the Faculty of Science. 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.

As a Lecturer/Senior Lecturer in Applied Mathematics you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. We are welcoming applicants from different research backgrounds who can bring their own research agenda, complementing the Schools’ current research foci, whilst benefiting from our supportive community of world-class mathematicians and statisticians. Applicants with expertise in computational Mathematics or optimization are particularly encouraged to apply.

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/Senior Lecturer who has:

• a PhD in Applied Mathematics, Mathematics, Statistics, Data Science, or related areas
• evidence of independent research ability
• evidence of ability, versatility and commitment to excellence in undergraduate teaching
• experience supervising research students
• a developing network of relationships with key academic, industry, and professional institutions, partners and stakeholders
• experience in supervising or mentoring others and/or coordinating team activities
• a developing knowledge and understanding of the key strategic issues in the discipline and higher education sector

For appointment at Level C, we would like to see evidence of:
• experience supervising students at postgraduate level
• experience lecturing applied mathematics, pure mathematics, statistics, or data science
• significant contribution to research and practice in the discipline, compatible with Senior Lecturer standards at The University of Sydney

To apply for this role, please submit the below three documents in addition to your CV, in support of your application:

  1. cover letter outlining your suitability for this position and indicating whether you are applying for this role at a Lecturer or Senior Lecturer level.
  2. research statement, with a focus on where you see your research in 5 years
  3. teaching statement, with a focus on approaches you utilize for effective teaching in small and large class sizes

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

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Lecturer-Senior-Lecturer-in-Applied-Mathematics_0098923-2

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

Lecturer/Senior Lecturer in Mathematics, Statistics or Mathematical Data Science @UQueensland

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Closing date: 19 January 2021
Campus: The School of Mathematics and Physics, University of Queensland
Remuneration: Level B / Level C
Status: Ongoing
Reference:

The School of Mathematics and Physics seeks to recruit a total of four women (two in mathematics and two in physics) to continuing teaching and research positions at Academic Level B/C. The positions are open to women and those who identify as women. This recruitment strategy is aimed at continuing to improve the diversity of the School’s academic staff, and to demonstrate its commitment to gender equity. The appointees to the two mathematics positions will have a developed research program in an area of mathematics, statistics and mathematical data science that complements or supplements the School’s research strengths. The appointees will engage in undergraduate and postgraduate teaching and curriculum development in mathematics, including service courses. The appointees will also supervise Higher Degree by Research, postgraduate coursework and Honours students, conduct high-quality research, and perform administrative, outreach and other engagement activities associated with the School.

Please view the Candidate Information Booklet for the key responsibilities.

About the School of Mathematics and Physics

The School of Mathematics and Physics (SMP) sits within the Faculty of Science. It is one of the largest Schools at The University of Queensland (UQ). Its strengths lie in delivering high-quality teaching, conducting research that is recognised at national and international levels, and contributing to society through its engagement with industry, government and the broader community. It is a multidisciplinary School that pursues excellence across all of its academic endeavours.

SMP provides a family-friendly workplace and offers a number of flexible work options to help staff balance their responsibilities at work and at home. It holds the Silver Pleiades Award of the Astronomical Society of Australia demonstrating a sustained record of monitoring and improving the working environment. It is the sole Australian organisation participating in the American Physical Society’s Inclusion, Diversity, and Equity Alliance (APS-IDEA) Network. Further information can be found here.

SMP has sustained success in attracting research funding, particularly in Australian Research Council funding, annually winning significant numbers of Discovery Projects and a range of fellowships. In addition, the School has had considerable Centre of Excellence (CoEs) success, hosting the lead node for two CoEs in the period 2013-2022 and with staff being chief investigators in a further seven CoEs in that period. The School’s research excellence is also evidenced by its performance in the most recent (2018) Excellence in Researchfor Australia (ERA) assessments, achieving ratings of 5 in both 2-digit fields of research (FoR), Mathematical Sciences and Physical Sciences, as well as in the 4-digit FoRs Pure Mathematics, Applied Mathematics, Statistics, Astronomical and Space Sciences, Condensed Matter Physics, Quantum Physics and Optical Physics, and also received a rating of 4 (above world standard) in Mathematical Physics, no rating of 5 (well above world standard) being awarded for any Australian institution in this FoR.

SMP is the leading provider of tertiary mathematics and physics education in Queensland. The School teaches a comprehensive undergraduate program in science, mathematics, statistics, and physics, as well as performing service teaching for students of engineering and the life sciences. There is also an extensive postgraduate research program, which has more than 100 Research Higher Degree students currently enrolled in the School. Undergraduate programs offered include BSc, BMath, BA (each with an Honours year) and BAdvSci; coursework postgraduate degrees (MSc, MFinMath, MDataSc, MQTech, MCyberSec, MBusAn) and research degrees (MPhil and PhD) are offered at postgraduate level. Staff in the School are highly recognised for their excellence in teaching and learning and have received a range of university and national teaching awards and citations, Higher Education Academy United Kingdom Fellowships, and significant Office of Learning and Teaching grants.

Engagement with national discipline-related bodies, societies, and institutes is also important to SMP, and the School maintains ongoing collaboration with the Australian Institute of Physics (AIP), the Australian Mathematical Society (AustMS), the Statistical Society of Australia (SSA), the Australian Mathematical Sciences Institute (AMSI) and the Mathematical Research Institute, MATRIX.

There are a total of 134 full-time academic staff members in the School, and 18 professional School staff who provide professional, technical and administrative support.

Further details of the School’s achievement and the teaching and research interests of academic staff may be accessed on the School’s web site at smp.uq.edu.au.

About You

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/ or continue to impact their career trajectory. Candidates who may not meet all the selection criteria are strongly encouraged to apply for and demonstrate their potential in the role, even if certain selection criteria can’t be met. Candidates may also wish to proactively outline any barriers or challenges which have impacted their career. The selection panel will consider both your potential and any performance relative to opportunity when assessing your suitability for this role.

Applicants should possess a PhD or equivalent in a relevant field such as mathematics, statistics, or mathematical data science. Additionally, you will demonstrate:
Level B (Lecturer):
• A growing profile of contributions towards a range of teaching responsibilities, including designing effective learning materials and assessment tasks, using effective teaching and learning approaches, coordinating courses and participating in a range of student experiences.
• Evidence of participation in education collaborations and professional learning in teaching.
• A developing national profile in research in the discipline area, evidence for which can include: a track record of publications in reputed refereed journals and conference presentations; a contribution to the transfer of knowledge, technology and practices to research end users; and the development of partnerships with research end users or external collaborators.
• Evidence of contributing to and sometimes leading applications for external research funding.
• A growing record of effective supervision of Honours and Higher Degree by Research students, evidence for which can include: supervisory role contributing to successful completion of Honours or RHD students; development of supervisee capabilities and skills; demonstrating the responsible conduct of research; and facilitating engagement opportunities for supervisees.
• Evidence of effective performance in internal service roles in conjunction with active contributions to external activities.
Level C (Senior Lecturer):
• An established profile of effective contributions towards a range of teaching responsibilities, including improving curriculum design and assessment practices, modifying teaching and learning approaches to achieve enhanced learning outcomes, and leading courses, discipline plans or programs.
• Evidence of building and maintaining education collaborations and undertaking professional learning in teaching.
• National recognition, with a developing international profile, in research in the discipline area, evidence for which can include: an established record of publications in reputed refereed journal and conference presentations; a contribution to the transfer of knowledge, technology and practices to research end users, and the development of partnerships with research end users or external collaborators.
• Evidence of contributing to and often leading successful applications for external research funding.
• An established record of effective supervision of Honours and Higher Degree by Research students to successful completion, evidence for which can include: supervisory role contributing to successful completion of Honours or RHD students; developing supervisee capabilities and skills, leading others in the responsible conduct of research, and facilitating engagement opportunities for supervisees.
• Demonstrated achievement and initiative in internal service roles in conjunction with an established record in external activities.
Further information about the position, discipline area and selection criteria can be found within the booklet below.

What We Can Offer

This is a full-time (100% FTE) continuing position at Academic Level B or Level C, commensurate with relevant skills and qualifications.

Academic Level B full-time equivalent base salary will be in the range of $101,533 – $120,570 plus super of up to 17%. The total FTE package will be in the range $118,794 – $141,067 p.a.

Academic Level C full-time equivalent base salary will be in the range $124,378 – $143,415 plus super of up to 17%. The total FTE package will be in the range $145,523 – $167,796 p.a.

The following flexible employment options may be available for this role :  Part time/job share; some working from home; variable start or finish times; compressed hours. 

For further information about UQ’s benefits, please visit Why Work at UQ and review The University of Queensland’s Enterprise Bargaining Agreement 2018–2021.

Want to Apply?

To discuss this role please contact Professor Jorgen Rasmussen via smp.head.maths@uq.edu.au

For application queries, please contact recruitment@uq.edu.au stating the job reference number in the subject line.

All applicants must upload the following documents in order for their application to be considered:
• An outline of their research program.
• Resume
• Cover letter addressing (1) the selection criteria, and (2) identifying how their research complements and supplements the research of staff in the School and/or the broader university, including details of possible collaborations.

Please note that you will be asked to add all documents into the one upload box labelled ‘resume’, which is step one of the application form.

About the Selection Process

Please note that seminars, mock lectures, and interviews have been scheduled for late January/early February 2023.

As part of the Selection Process, applicants shortlisted for interview will be required to present a seminar and a mock lecture to members of the school community prior to their scheduled interview. Research seminars and lecture topics will be provided with adequate notice to shortlisted candidates. The research seminar will be for 40 minutes plus 5–10 minutes of questions and a mock lecture will be for 25 minutes, plus questions.

The University of Queensland is committed to ensuring all candidates are provided with the opportunity to attend the panel interviews, however, for those candidates who are unable to attend in person, video interview options will be available.

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Careers portal by the job closing deadline or will not be accepted.

Other Information

Sponsorship: Visa sponsorship may be available for this appointment.

At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion. We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in our broader community, whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au

If you are a current employee of the University, or hold an unpaid or affiliate appointment with the University, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.

Links for application/more information

For candidates to apply, they will need to please visit https://careers.uq.edu.au/ and search R-19649.

Included in the advert is also a candidate information booklet with more detailed information on the role.

PhD position in Mathematics@UAuckland

/in /by
  • Scholarship opportunity
  • Closing date: 1 February 2023.
  • Duration: 3 years

One PhD studentship is available in the Department of Mathematics at the University of Auckland, for work on a project in the general field of inverse problems.

The successful applicant will have had an Honours or Masters degree in some area of quantitative science (such as Mathematics, Physics or Engineering) and will have a demonstrated interest in applications of mathematical techniques to imaging, particularly those arising in medical imaging, seismology or image processing. A good background in optimisation, functional analysis and scientific programming is desirable. The successful applicant will work with the researchers Marie Graff at the University of Auckland, and Bamdad Hosseini at the University of Washington, Seattle.

The positions will be available starting in March 2023, and come with funding that will cover tuition fees and an annual stipend of $35,000 NZD for three years.

Interested candidates should send their CV, a copy of their academic record, and a brief statement of why they are interested in the position, to Marie Graff, at marie.graff@auckland.ac.nz. There is no formal closing date for applications, but those received by February 1st will receive priority.

For more information and application details, please see this page.