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

Learning Success Advisor @Sydney

Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time until 22 December 2023
Duration: fixed term
Remuneration: Base Salary $100,032–$108,979 + 17% superannuation
Closing Date: 11.59pm; 20 March 2023

• Exciting opportunity to facilitate and deliver mathematics and statistics learning support for students at the University
• 2x Full-time, fixed term until 22nd December 2023

About the opportunity

As a Learning Success Adviser (Mathematics), you will help develop, deliver, and evaluate mathematics and statistics learning support initiatives for all students at the University.

As a subject matter specialist, you will collaborate in the development and implementation of learning support initiatives, including student-centred learning design, personalised and adaptive support offerings, through a variety of delivery modes such as face to face, online, blended, hybrid and peer-facilitated.

Your key responsibilities will be to:

• work within a dynamic team, reporting to the Learning Hub Lead
• deliver learning support & training activities to students, peer-facilitators, & staff for up to 20 hours a week
• work collaboratively with the Learning Hub Lead and team of Learning Success Advisors, Educational Designer, and colleagues across CET + Learning Hub
• contribute to and engage actively with the mathematics and statistics learning community beyond the University to further the reputation of the University in the field
• provide specialist guidance and support to relevant stakeholders in the library, relevant faculties, Educational Innovation, Student Life, and the wider Education Portfolio
• help students to develop their confidence in mathematics and statistical skills, enhancing their experience and supporting fuller participation and success in relevant units of study.

About you

• post graduate qualifications and/or relevant work experience in a related field
• a strong background and experience in tertiary mathematics and/or statistics
• experience in teaching and learning in a tertiary environment, with an emphasis on settings relevant to mathematics and statistics support
• experience in developing and facilitating high-quality, innovative programs to support mathematics and statistics learning in a higher education environment
• experience using learning analytics to inform learning design, support student progress and monitor student outcomes
• experience using innovative educational technology platforms to facilitate mathematics and statistics support to diverse cohorts of students
• theoretical and practical understanding of effective educational practice in the post-entry, higher education space, including the use of educational technologies.

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.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.
Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.

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.

This position is designated as involving child-related work. To undertake or remain in this position, you are required to apply for and obtain a Working with Children Check clearance in accordance with the Child Protection (Working with Children) Act 2012.

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

Apply via this link: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Learning-Success-Advisor–Mathematics-_0101673-3

For a confidential discussion about the role, or if you require reasonable adjustment, or any documents in alternate formats, please contact Kale Claffey, Recruitment Operations by email to kale.claffey@sydney.edu.au.

© The University of Sydney

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

Postdoctoral Fellow @Optiver APAC

Division: Trading, Research and Risk
Employment Type: Full time, Postdoctoral Fellow
Duration: 1 year
Closing Date: 11.59pm; 31 December 2023

Have you ever thought about what research looks like in industry?Optiver’s Postdoctoral Fellowship is a one year, full-time postdoctoral position designed to bring strong PhD graduates into a new arena for the application of their research skill set.

How to apply

Learn more about this position and apply: https://optiver.com/working-at-optiver/career-opportunities/6604266002/.

RTP Scholarships @UNSW Canberra

Location: UNSW Canberra Campus
Employment Type: Scholarship opportunity in Mathematics (analytic number theory)
Duration: fixed term 3 years
Remuneration:  $33,000 p.a.
Closing Date: 5 May 2023

UNSW Canberra is a campus of the University of New South Wales located at the Australian Defence Force Academy in Canberra. 

Scholarships of $35,000 (AUD) are available for PhD applicants to work in the area of analytic number theory who achieved a High Distinction in their undergraduate program and have completed a Masters by Research or Honours year. For more information, contact either:
Tim Trudgian: t.trudgian@adfa.edu.au or Bryce Kerr: bryce.kerr@unsw.edu.au

See https://www.unsw.adfa.edu.au/our-research/number-theory for more information about the number theory group at UNSW Canberra.

Lecturer in Mathematics @Wollongong

Location: The School of Mathematics and Applied Statistics, University of Wollongong
Employment Type: Full time, 4 years fixed term
Duration: 4-year appointment
Remuneration: $84,935–$99,509 + 17% superannuation (Level B)
Closing Date: 12 March 2023

The School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong (UOW) is within the Faculty of Engineering and Information Sciences. SMAS is a dynamic and active mathematical sciences school with an exceptional research record.

As part of SMAS the Institute for Mathematics and Its Applications (IMIA) carries out world-class research across a broad spectrum of areas in both pure and applied mathematics through its six research centres including the Centre for Nonlinear PDEs. In the Centre for Nonlinear PDEs, the research foci are on nonlinear partial differential equations (PDEs), especially those related to problems in optimal transportation and convex geometry. Specialisations within our centre include Monge-Ampere type equations; geometric evolution equations; analysis in free boundary problems; analysis in convex geometry; and minimal hypersurfaces.

This position will carry out teaching, research, governance, and community outreach/professional service duties consistent with a Lecturer Level B position. The successful candidate will be a member of Centre for Nonlinear PDEs and contribute to a new research project on Monge–Ampere type equations, with applications to optimal transportation and other geometric problems.

This is an excellent opportunity to join one of the most vibrant and successful schools in the country. It will also be expected that this position undertakes lecturing duties and teach students in our Mathematics degrees and in other disciplines.

For further information about this position, please contact:
A/Prof Maureen Edwards (Head of School) on +61 2 4221 4768 email: maureen@uow.edu.au
or A/Prof Jiakun Liu on +61 2 4221 8191 or email: jiakunl@uow.edu.au

The University of Wollongong is committed to equality, diversity and inclusion. As an equal opportunity employer, we celebrate diversity and inclusion, and believe gender equality is fundamental to achieving our goal of being in the top 1%. The University seeks to increase the representation of women in the disciplines of science, technology, engineering, mathematics and medicine (STEMM) to address gender imbalance. As a recognised leader in gender equality, we offer professional development programs and promote a healthy work life balance.

Learn more about this position and apply: https://www.uow.edu.au/about/jobs/

Research Fellow in Scientific Computing and Numerical Analysis @Monash

Job No.: 647132

Location: Clayton campus, Monash University
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $75,115–$101,944 p.a. Level A (plus 17% employer superannuation)
Closing Date: Friday 31 March 2023, 11:55 pm AEDT

The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on a project in Scientific Computing and Numerical Analysis (polytopal methods).

The successful candidate will work under the guidance of Professors Jérôme Droniou and Santiago Badia on the ARC-funded project “Interface-aware numerical methods for stochastic inverse problems”. The role includes the design and analysis of hybrid high-order schemes for partial differential equations with interfaces. The methods will rely on polytopal meshes obtained from adaptive tree-based unfitted meshes. The research also includes optimal and scalable parallel multilevel solvers for the discrete systems arising from hybrid approximations. The role will possibly include the combination of these tools with multilevel Monte Carlo methods and its application to stochastic inverse problems in subsurface modelling.

Applicants must have a PhD in Mathematics or a related field, with a strong background in numerical methods for partial differential equations.

Monash University is an equal opportunity/affirmative action employer with a strong institutional commitment to excellence and diversity, and the Research Fellow will be well integrated into a highly supportive and dynamic research environment that has a strong history of research excellence and collaboration with researchers locally and internationally.

Diversity is one of our greatest strengths at Monash. We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.

Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments more easily.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.

Your application must address the selection criteria. Please refer to “How to apply for Monash Jobs”.

Applications must be made via the Monash website: see here.

Research Fellow in Geophysical Fluid Dynamics @Monash

Job No.: 647132

Location: Clayton campus, Monash University
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $75,115–$101,944 p.a. Level A (plus 17% employer superannuation)
Closing Date: Tuesday 7 March 2023, 11:55 pm AEDT

An exciting opportunity is available for a Postdoctoral Research Fellow to join an Australian Research Council (ARC) grant-funded team modelling intrusions into density-stratified fluids. The ultimate aims of the project are (1) to understand the interaction and feedback between the dynamics of the intrusion and internal waves generated in the ambient fluid and (2) develop a reduced-order model for predicting the dynamics of these flows in a variety of applications such as the early evolution of volcanic ash clouds and important meso-scale oceanic flows such as the Mediterranean overflow.

The research will be in collaboration with Dr Anja Slim (School of Mathematics and School of Earth, Atmosphere and Environment, Monash), Prof Stefan Llewellyn Smith (Scripps Institution of Oceanography, and Engineering, UCSD) and Prof Murray Rudman (Faculty of Engineering, Monash). The position will be based at Monash with research visits to the US.

Monash University is an equal opportunity/affirmative action employer with a strong institutional commitment to excellence and diversity, and the Research Fellow will be well integrated into a highly supportive and dynamic research environment that has a strong history of research excellence and collaboration with researchers locally and internationally.

About you

As the successful candidate, you will have:
• A recent PhD in a relevant field of study, including applied mathematics, oceanic and atmospheric sciences, physics or engineering. A doctoral degree is required at the time of appointment
• A strong background in fluid dynamics and/or partial differential equations, with experience in asymptotic methods and/or integro-differential equations. Experience with stratified flows is desirable although not essential.

Diversity is one of our greatest strengths at Monash. We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.

Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments more easily.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.

Your application must address the selection criteria. Please refer to “How to apply for Monash Jobs”.

Applications must be made via the Monash website: see here.

Lecturer in Mathematics @Macquarie

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

About the opportunity

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

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

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

Essential criteria:

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

Desirable criteria

• Demonstrated success in obtaining research funding

About Us

The School of Mathematical and Physical Sciences was formed in January 2021 and represents a continuation of the traditions of the disciplines of Applied Mathematics, Astronomy, Physics, Pure Mathematics and Statistics at Macquarie University. This position is part of our strategic investment in the area of Mathematics.
Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 57 years ago, we have aspired to be a different type of university. Over the years, we’ve grown to become the centre of a vibrant local and global community. Connect with us today.

Macquarie University’s goal is to increase the proportion of women, Aboriginal and Torres Strait Islander peoples, and diverse peoples of all backgrounds in Science, Technology, Engineering, Mathematics and Medicine (STEMM) roles. Applications are considered holistically, and candidates are encouraged to apply even if they may not feel strong on every individual selection criterion. For more information, please visit our Equity, Diversity and Inclusion page https://staff.mq.edu.au/work/diversity-inclusion.

How to apply

Learn more about this position.
Enquiries: Professor Samuel Muller, Head of School at samuel.muller@mq.edu.au
Job URL link: https://mq.wd3.myworkdayjobs.com/en-US/CareersatMQ/details/Lecturer-in-Mathematics_R000010406-1.

Postdoctoral Research Associate in Statistical Bioinformatics@Sydney

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.