PostDoc in Algebra at University of Western Sydney

Position: PostDoc in Algebra at Western Sydney University, Mathematics Dept.
Duration: 2 years (with a possible extension) Should start before 2024.
Salary range: $102,737 to $108,997 (Australian Dollars)
Closing date: 21 July 2023
 

We are looking for someone with a broad Algebra or Operator Algebra training. The applicant is expected to work on areas related to the project of Roozbeh Hazrat “Graded symmetry in Algebra and Analysis”, in particular, the structure of combinatorial algebras, such as Leavitt paths algebras and invariants for their classifications. These algebras have appeared in a variety of different contexts as diverse as analysis, symbolic dynamics, noncommutative geometry, and representation theory.

The external principal collaborators in the project are Prof. Søren Eilers (Copenhagen) and Ben Steinberg (New York).

Position Enquiries:

Please contact Roozbeh Hazrat via email r.hazrat@westernsydney.edu.au

WSU job site: https://uws.nga.net.au/?jati=457712B5-52EA-594B-A539-D1AA7990628B

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: https://careers.pageuppeople.com/513/cw/en/job/641514/research-fellow-dynamical-systems.

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: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Research-Associate-in-Statistical-Bioinformatics_0105459-2.

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.

Requirements

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 (nam.honguyen@sydney.edu.au):

  • 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.

Information: https://www.sydney.edu.au/scholarships/a/the-phd-scholarship-in-mathematical-optimization.html

Lecturer in Applied Statistics @Curtin

Closing date: 25 April 2023
Campus: Curtin University; School of Electrical Engineering, Computing and Mathematical Sciences (EECMS)
Remuneration: $106,194 – $125,797 (ALB) per annum, plus 17% superannuation
Status: Continuing (Permanent) Full-time Opportunity
Reference: 1051506

The School of Electrical Engineering, Computing, and Mathematical Sciences (EECMS) combines computational expertise in mathematics, statistics, and computing with applications in materials science, quantum physics, signal processing, and astronomy. EECMS contains several major research centres and institutes including the Curtin Institute for Computation, the Curtin Centre for Optimisation and Decision Science, the Curtin Institute for Radio Astronomy, and the Optus-Curtin Centre of Excellence in Artificial Intelligence. These centres lead significant research and development programs with industry and government partners across the mining, energy, agriculture, and defence sectors. EECMS offers an accredited actuarial science course, one of only seven in Australia and the only one in Western Australia, with a strong focus on applied statistics and data analytics.

Your new role

This role is part of the Mathematics and Statistics discipline of EECMS.

As a lecturer in Applied Statistics, you will play a major role in teaching undergraduate and postgraduate courses in data science, statistics, and actuarial science, as well as supervising student research projects at undergraduate, masters, and PhD levels. You will contribute to developing the data science courses at Curtin and building relationships with partner universities and international campuses. Your teaching will be underpinned by an active demand-driven research program with industry and government that drives real-world impact and inspires students.

This position will contribute to EECMS’s priority areas of mining/resources and defence through applied research in data science and statistics. EECMS already has several large-scale collaborative research and development programs underway in these areas. There is significant potential to expand existing work and develop new opportunities through Curtin University’s Trailblazer program in critical minerals and resources technology (which provides $50 million in federal government funding to support commercialisation and demand-driven research with industry), and the Australian defence force’s recently-announced AUKUS submarine program (which will involve establishing a nuclear submarine base in Western Australia).

As this is a continuing (permanent) role, you will be required to have permanent work rights in Australia. Relocation assistance and visa sponsorship may be considered.

To learn more about this opportunity, please contact Professor Ryan Loxton, Director, Curtin Centre for Optimisation and Decision Science, r.loxton@curtin.edu.au.

About Us

Curtin University is one of the world’s top 200 universities according to the 2023 QS World University Rankings. We offer a competitive remuneration and benefits package, a friendly and collaborative work environment, generous leave entitlements and superannuation, flexible working arrangements, and salary-packaging. Our vibrant campus includes an art gallery, gym, childcare and medical centre, and endless food options including a supermarket.

For more information about our university, please visit www.curtin.edu.au.

To apply

Please provide a cover letter, your CV and separate document addressing the selection criteria (noted below) to allow us to assess your suitability for this role.

Selection criteria

  • A doctoral qualification in mathematical sciences.
  • A track record of publications in high-quality international journals in the statistics and mathematical science areas, commensurate with experience level and assessed relative to opportunity.
  • Experience developing statistical methods in collaborative research and development and/or consulting projects with industry, assessed relative to opportunity.
  • A strong theoretical background in statistics and computational methods.
  • Ability to successfully teach statistics and supervise research students at undergraduate and postgraduate levels.
  • Potential to attract research funding through grants and consulting, particularly in the priority areas of defence and resources/mining.
  • Excellent written and verbal communication skills, with the ability to explain mathematical and statistical concepts to a non-technical audience.

This position may involve research with defence organisations where the ability to successfully apply for an Australian security clearance would be highly beneficial. The successful candidate may be required to undertake work on, or be provided with, technical information that is restricted by the Department of Defence. In accordance with these restrictions, any applicant born outside Australia or who holds, or has previously held, citizenship or permanent residency of a country other than Australia will be required to declare and indicate the country of birth, citizenships or permanent residencies, and this information may be considered relevant to selection.

Applications close: 9PM Australian Western Standard Time (AWST), Tuesday 25th April 2023.

Applicants should note that prior to appointment, you will need to have a current National Police Records check, undergo character, integrity, and reference checks. Please note that this position may be subject to a WA state government vaccination mandate. If requested, you will be required to provide evidence of your vaccination status prior to employment.

If you have a query in relation to the application process, please contact our careers team on 08 9266 9000 (option 3,1).

For more information, please copy and paste the following link into your web browser: http://staff.curtin.edu.au/job-vacancies/?ja-job=679665

ARC Grant Funded Researcher (A), Mathematical Sciences @Adelaide

Location: School of Computer and Mathematical Sciences, University of Adelaide
Employment Type: Full-time
Duration: Fixed-term position for 2 years
Remuneration: Level A ($91,402–$97,927) per annum + employer contribution of 17% superannuation
Closing Date: 11:55pm, Monday 17 April 2023

Postdoctoral position in the general area of the interplay between Index Theory, Non-commutative geometry and applications to string theory.

Build your research career at the School of Computer and Mathematical Sciences in a world-class research discipline of Pure Mathematics.

We are seeking to appoint a recent postdoctoral researcher in Index Theory, Noncommutative geometry and applications to string theory, for the Discovery Project held by Professor Mathai Varghese and funded by the Australia Research Council.

The School of Computer and Mathematical Sciences is a thriving centre of learning, teaching and research, and many of its academic staff are world leaders in their fields and graduates are highly regarded by employers.

The School of Mathematical Sciences is one of seven schools that make up the Faculty of Engineering, Computer and Mathematical Sciences. Pure Mathematics at our university received the top ranking of 5 in the Excellence in Research for Australia ranking of 2018, making it one of the premier departments in the country. It hosts the Institute for Geometry and its Applications (http://www.iga.adelaide.edu.au/) which is extremely active at organising workshops, lecture series and instructional schools that benefit postgraduate students, early career researchers and other staff.

Collaboration with other researchers and students in the School is also encouraged.

To be successful you will need:

  • Recent PhD in Pure Mathematics or Mathematical Physics (If thesis submission is pending, state expected submission date on your cover letter)
  • Demonstrated strong research capability, in terms of publications in Index Theory, Noncommutative Geometry and applications to String Theory
  • Strong background in Index Theory, Noncommunicative Geometry and applications to String Theory.
  • Demonstrated ability to conduct independent research and a willingness to work effectively as a member of Professor Mathai Varghese’s team.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs – including significant industry, government and community collaborations – offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work’s cutting-edge nature – not just in your own area, but across virtually the full spectrum of human endeavour – provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty’s broader role

As a member of Australia’s G08, the University of Adelaide is recognised as one of the nation’s most respected research-intensive universities, challenging and inspiring graduates to make a real difference. The Faculty of Science, Engineering and Technology (SET) holds an outstanding reputation for teaching, research, and quality graduates. Comprised of eight schools, 21 centres and five institutes, the Faculty of SET is responsible for teaching over 8,500 students across our three campuses, North Terrace, Waite and Roseworthy, and has an annual budget of $300 million. The faculty is a significant contributor to the University’s research reputation, earning annual research revenue above $120 million. Many of our research areas have achieved a world-class research rating of 5 in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty of SET is an innovative and agile working environment that champions excellence, diversity and inclusion in our teaching, research, and global engagement leadership.

Learn more at: set.adelaide.edu.au

How to apply

If you have the talent, we’ll give you the opportunity. Together, let’s make history.
Click on the link below to view the Selection Criteria and to apply for the opportunity.

https://careers.adelaide.edu.au/cw/en/job/511667/arc-research-associate-a

Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

For a confidential discussion regarding this position, contact:

Sir Thomas Elder Professor Mathai Varghese
ARC Australian Laureate Fellow
E: mathai.vargese@adelaide.edu.au

ARC Grant Funded Researcher (A), Mathematical Sciences @Adelaide

Location: School of Mathematical Sciences, University of Adelaide
Employment Type: Full-time
Duration: Fixed-term position for 2½ years
Remuneration: Level A ($91,402–$97,927) per annum + employer contribution of 17% superannuation
Closing Date: 11:55pm, Monday 1st May 2023

The Postdoctoral Research Fellow will conduct research funded by the Australian Research Council on developing mathematical models to predict biofilm expansion.

Build your research career at the School of Computer and Mathematical Sciences in a world-class research discipline of Applied Mathematics.

We are seeking to appoint a Postdoctoral Research Fellow to contribute to the development of mathematical models to predict biofilm expansion. This project aims to better understand the mechanisms that inhibit and promote the growth of biofilms by comparing results from mathematical models with experiments of biofilms grown in the laboratory. Insights from the modelling and experiments of biofilms will have practical applications in biotechnological, industrial, and medical sectors. The candidate will be encouraged to develop, simulate and analyse mathematical models for biofilm growth processes independently, using partial differential equations and / or agent-based approaches. To facilitate comparison of the model with experiments, the candidate will collaborate closely with biologists at the University of Adelaide and the University of Kent (UK). Experience of using statistical methods to infer estimates of model parameters from laboratory experiments is highly desirable.

The School of Computer and Mathematical Sciences is a thriving centre of learning, teaching and research, and many of its academic staff are world leaders in their fields and graduates are highly regarded by employers.

The University offers a great range of benefits such as salary packaging, research support schemes and a range of flexible work arrangements. Apply now to be part of this unique and exciting opportunity.

To be successful you will need:

  • A PhD in applied mathematics or related area of science or engineering.
  • Experience of developing, simulating and analysing mathematical and computational models of real-world phenomena.
  • Experience of writing numerical codes in a scientific programming language such as Matlab, Julia or Python.
  • Strong research record relative to career stage, as evidenced by publications in leading journals and conference presentations.
  • Demonstrated ability to conduct independent research and willingness to work effectively as a member of a research team.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs – including significant industry, government and community collaborations – offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work’s cutting-edge nature – not just in your own area, but across virtually the full spectrum of human endeavour – provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty’s broader role

As a member of Australia’s G08, the University of Adelaide is recognised as one of the nation’s most respected research-intensive universities, challenging and inspiring graduates to make a real difference. The Faculty of Science, Engineering and Technology (SET) holds an outstanding reputation for teaching, research, and quality graduates. Comprised of eight schools, 21 centres and five institutes, the Faculty of SET is responsible for teaching over 8,500 students across our three campuses, North Terrace, Waite and Roseworthy, and has an annual budget of $300 million. The faculty is a significant contributor to the University’s research reputation, earning annual research revenue above $120 million. Many of our research areas have achieved a world-class research rating of 5 in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty of SET is an innovative and agile working environment that champions excellence, diversity and inclusion in our teaching, research, and global engagement leadership.

Learn more at: set.adelaide.edu.au

How to apply

If you have the talent, we’ll give you the opportunity. Together, let’s make history.
Click on the link below to view the Selection Criteria and to apply for the opportunity.

https://careers.adelaide.edu.au/cw/en/job/511498/arc-grant-funded-researcher-a-mathematical-sciences

Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

Lecturer or Senior Lecturer, Mathematics and/or Statistics @Bendigo

Reference: Job No.:564040
Work type: Continuing
Location: LaTrobe University, Bendigo Campus — Department of Mathematics and Statistics
Remuneration: Level B: $100,480-$118,659 plus 17% superannuation or Level C: $122,297-$ 140,478 plus 17% superannuation
Closing Date: 11:55pm Sunday, 23 April 2023

About the position

The Department of Mathematical and Physical Sciences is comprised of active teaching and research staff across the broad disciplines of applied mathematics, pure mathematics, statistics, and physics. The department offers undergraduate majors in mathematics, statistics, data science, and physics, and provides many important subjects that are undertaken by students from a diverse range of courses and disciplinary backgrounds (eg. engineering, life sciences, education). Both the school and department foster collaborative projects across disciplines. We are therefore seeking, at either levels B or C, a mathematics/statistics academic or data scientist to contribute to the teaching of our undergraduate subjects in mathematics and statistics and Master of Data Science Online. A Level B or Level C teaching and research academic is expected to contribute to the discipline at the national level. They will develop curriculum, teach and undertake research or other scholarly work relevant to the development of their discipline or professional field.

Skills and Experience

To be considered for this position, you will have:
• Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area.
• Demonstrated effectiveness in curriculum development and teaching with a commitment to excellence in teaching.
• Demonstrated capacity to provide leadership at course/program/research group or similar level.
• Proven ability to mentor and supervise undergraduate, honour and postgraduate students.
• Strong record of research publication, with appropriate evidence of quality and impact.
• Demonstrated record of achievement as a leading practitioner with a reputation for skills, knowledge and expertise at a state/national level.
•¨Success in obtaining research funding from grants/contracts/consultancies.
• Demonstrated ability to work as a member of a team in a co-operative and collegial manner.
Overseas applications are being accepted

Please refer to the Position Description (found here) for other duties, skills and experience required for this position.

Further details: https://careers.pageuppeople.com/533/caw/en/job/564040/lecturer-or-senior-lecturer-mathematics-andor-statistics

How to apply

Position Enquiries: Narelle Brack Hiring Manager via email n.brack@latrobe.edu.au

Recruitment Enquiries: Vicki Stavrou, Senior Talent Acquisition Business Partner, Email v.stavrou@latrobe.edu.au, Phone 03 9479 5191

Please submit an online application ONLY and include the following documents:
• Cover letter;
• an up-to-date resume; and
• a separate document addressing each essential and desirable bullet point in the Key Selection Criteria which is located in the position description.

All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.

Research Associate/Fellow in Optimisation and Operations Research @Curtin

Closing date: 27 March 2023
Campus: Curtin University, Perth; Curtin Centre for Optimisation and Decision Science
Remuneration: $91,431 – $103,101 (ALA6–ALB1) per annum, plus 17% superannuation
Status: Fixed-term full-time research position (4 years)
Reference: 1031287

The Curtin Centre for Optimisation and Decision Science conducts high-quality inter-disciplinary research focused on data-driven optimisation for real-world applications. The Centre was established in January 2022 and it currently includes 16 full-time staff whose expertise spans operations research, process control, computational modelling, and data science. The Centre works with industry and government partners to develop cutting-edge optimisation technology for solving complex planning and decision problems in the mining, agriculture, energy, and defence sectors. Current areas of focus include maintenance planning and scheduling, rostering optimisation, detecting misinformation in online social networks, and optimising chemical production processes.

Your new role

An exciting opportunity exists for a postdoctoral researcher to join our Centre on a 4-year appointment, with the possibility of extension. You will be provided with career development and mentoring opportunities as part of a young, dynamic group in optimisation. Come join us and help build an exciting future for the new Curtin Centre for Optimisation and Decision Science.

In this role you will:

• Conduct high-quality research in optimisation and operations research with other members of the centre.
• Take the lead in publishing joint articles in top international journals.
• Participate in collaborative projects with industry and government partners.
• Supervise honours and PhD students and teach at undergraduate or graduate level.

To learn more about this opportunity, please contact Professor Ryan Loxton, Director, Curtin Centre for Optimisation and Decision Science, r.loxton@curtin.edu.au.

To apply

Please provide a cover letter, your CV and separate document addressing the selection criteria (noted below) to allow us to assess your suitability for this role.

Please visit link below to apply for the role: http://staff.curtin.edu.au/job-vacancies/?ja-job=662309

Selection criteria

• A doctoral qualification in applied mathematics, industrial engineering, or related area
• A track record of publications in high-quality international journals in operations research
• A strong theoretical background in integer programming and discrete optimisation
• Excellent computing skills and experience working with relevant programming languages and platforms – for example, Python, Java, Julia, CPLEX, and Gurobi
• Interest in applied research, consulting, and research commercialisation

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

To view a copy of the Academic Role Statement, please copy and paste the following link into your web browser: https://cloudstor.aarnet.edu.au/plus/s/eaUMg3m0nPDAtrI