Professor in Applied Mathematics/ Associate Professor in Applied Mathematics @Flinders

Location: College of Science and Engineering, Flinders University, SA
Employment Type: Continuing, Level D/E
Remuneration: Level D: $148,986–$163,910 p.a. + 17% superannuation;
Level E: $191,274 p.a. + 17% superannuation
Closing Date: 20 August 2022

About the opportunity

The Associate/Professor in Applied Mathematics will, under broad supervision, provide academic leadership in research, teaching, and community engagement in the discipline of applied mathematics including data science. The incumbent will use their expertise in mathematics to provide leadership in the study of applied mathematics. The incumbent will have a significant funding track record. They will be expected to take a strong leadership role with Early Career Researchers and Middle Career Researchers in mathematics related areas. The Associate/Professor will advance the College in its reputation as a centre of excellence in education and research, nationally and/or internationally, and advance the development of mathematics and data science within the university.

Key Position Responsibilities

The Professor in Applied Mathematics/Associate Professor in Applied Mathematics is accountable for:

  • Providing outstanding teaching using contemporary pedagogy, a range of delivery methods, and innovative delivery methods in the area of mathematics and data science.
  • Publishing high quality publications relevant to data science that are clearly recognised as such nationally and internationally.
  • Gaining external competitive research grants and contributing to growth in Flinders’ research income.
  • Supervising to completion Flinders research students including doctoral students in areas related to data science and grow the PhD cohort.
  • Mentoring more junior academic colleagues in the College, especially academic staff in areas related to data science, including co-publishing, co-supervision and co-submission of external competitive grants.
  • Providing administrative leadership as required particularly within the Computing and Mathematical Sciences Teaching Program and the Data and Information Systems Research Section.
  • Contributing to administrative tasks as sought by the College leadership including play an active role in maintenance of academic standards and in the development of educational policy and curriculum within the Computing and Mathematical Sciences teaching program.
  • Providing leadership and expertise to foster collaborative links across the University, with industry/community and with other institutions as appropriate.
  • Any other responsibilities in line with the level of the position as assigned by the Supervisor and/or the University.

Key Position Capabilities

  • Completion of a PhD in Mathematics, or equivalent qualification.
  • Demonstrated evidence of a distinguished and active track record of teaching expertise in an area of Mathematics/Data Science at tertiary level, including a leadership role in international delivery and /or collaboration
  • Demonstrated evidence of innovation in teaching to support students in order to maximise their learning.
  • Evidence of significant educational leadership relevant to teaching and learning in higher education and demonstrated experience leading innovation and inspiring excellence amongst colleagues.
  • Significant experience in curriculum development and teaching methodology for topics and programs of study, including reviews and internal and external accreditation activities.
  • Demonstrated experience with engaging and developing flexible methods to deliver teaching programs such as through e-learning platforms and other communications technologies
  • A distinguished international reputation in research in an area of data science that is aligned with the College’s research strengths evidenced by sustained high quality publications and attraction of several competitive external grants.
  • Demonstrated excellence in the supervision of honours and research higher degree students.
  • Significant contribution to the discipline and/or profession within a relevant external professional domain and within a wider community context at local, national, and international level.
  • A demonstrated strong track record of establishing effective research collaborations with external national and international partners.
  • Demonstrated excellent oral and written communication skills and interpersonal skills, including the demonstrated evidence of the ability to develop, establish and maintain effective relationships with staff, students, and industry.

For further enquires or a confidential conversation regarding this position, please contact: Professor Alistair Rendell

How to apply

Learn more about this position and apply: https://flinders.wd3.myworkdayjobs.com/en-US/flinders_employment/details/Professor-in-Applied-Mathematics–Data-Science-_JR0.

Lecturer in Mathematical Biology @Sydney

Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full-time
Duration: 2.5-year appointment
Remuneration: $113,184–$134,403 p.a. + 17% superannuation (Level B)
Closing Date: 28 August 2022

• Full time 2.5 year fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to make valuable contributions to research in Mathematical Biology

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 Lecturer in Mathematical Biology. The successful applicant will be working under the supervision of Professor Eduardo G. Altmann, Head of School and Professor Peter Kim. The successful applicant will undertake research in mathematical biology with preference given to candidates who can collaborate with Prof. Kim in the mathematical modelling of human evolution and cancer-immune dynamics.

Your key responsibilities will be to:

• contribute to knowledge within mathematical biology, particularly in mathematical modelling of human evolution and cancer-immune dynamics
• engage in high-quality teaching and learning experiences (at undergraduate, honours and postgraduate levels) which meet the University’s expectations and standards for education
• design and deliver quality educational programs and experiences that support student needs and meet curriculum requirements
• influence outstanding teaching and learning outcomes
• contribute to research, education, and administrative activities
• develop an academic profile through conferences, seminars and outreach activities (e.g. school outreach and orientation activities).
• enhance a positive workplace culture and strategic direction of the University.

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 who supervise research and teach 74 postgraduate students and 925 equivalent full-time student-load undergraduate students.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Lecturer who has:

• a PhD or near completion in an academic field relevant to the discipline
• the demonstrated ability to carry out high quality mathematical research in mathematical biology
• a high level of interpersonal skills including the ability to work collaboratively with colleagues
• good organisational and administrative skills with attention to detail
• a high level of written and verbal communication skills
• an ability to engage productively with biological literature and/or experimental scientists.

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/Lecturer-in-Mathematical-Biology_0095785-1.

Lecturer in Mathematics @Newcastle

Location: College of Engineering, Science and Environment, Callaghan and Central Coast campuses, The University of Newcastle
Employment Type: Full-time
Duration: 3-year appointment
Remuneration: $103,221 + 17% superannuation (Level B)
Closing Date: 23 August 2022

Learn more about this position and apply: https://www.livehire.com/careers/universityofnewcastle/job/P9RPH/67MI8YMDWI/lecturer-in-mathematics.

Graduate Meteorologist@Bureau of Meteorology

Closing date: 27 July 2022
Campus: Bureau of Meteorology; Graduate Meteorology Programme.

Our Graduate Meteorology program is now taking applications. The Bureau of Meteorology is one of the few organisations that touches the lives of all Australians every day. We are seeking a diverse range of talent to join our organisation to achieve an exciting set of objectives in the years ahead, among them — contributing to zero lives lost through natural hazards and $2 billion of added social and economic impact and value to the Australian community by 2022.

Our ideal candidates will be inspired to develop and get ready to innovate through a fresh perspective, helping to bring to life the Bureau’s Strategy 2017-2022, which guides organisational culture, services and operations, and articulates our focus. We need top talent to make this all happen. We ask that you are motivated to do interesting, innovative and socially impactful work in a dynamic environment and are deeply inspired to become a Meteorologist.

This is a full-time position, initially for a 2-year period with the possibility of extension. Flexible working hours will be provided. Work from the comfort of your own home or join us in the office, location is flexible!

The Role

As a Graduate, you will:

• use scientific techniques, including data visualisation to analyse, interpret and forecast atmospheric conditions;
• prepare and communicate weather forecasts;
• be closely involved in issuing weather warnings;
• engage deeply with customers to understand their business needs and provide expertise and advice to assist their business decision making;
• collaborate with other specialised professionals with hydrological, climatological and communication expertise.

To see a day in the life of a meteorologist, click on the link to ‘Graduate Stories‘.

What we are looking for…

People with a diverse mix of skills, life experience and academic achievement in science, engineering or other field with studies in physics and mathematics. You will be available to mobilise your skills to one of the Bureau’s operational locations throughout Australia and be able to work on a rotating shift-work roster. A willingness to be flexible about your working location is a must. Our customers are our focus, so you will need to have the confidence and wisdom to provide specialised support, now and into the future.

As part of our commitment to improving Aboriginal and Torres Strait Islander employment outcomes we have an Affirmative Measures position and welcome applications for this opportunity.

We are building a diverse and inclusive workplace and have a range of programs and initiatives supporting gender equality, multicultural, disability, Indigenous and LGBTIQ+ inclusion. You can view our commitment to diversity and inclusion.

What is on offer…

The Graduate Training Program offers post graduate studies in Meteorology, with initial ten months training based in Melbourne. To thrive in this career, the Bureau offers a range of training and development opportunities on the job in a friendly work environment. From the moment you start, we invest in your development to help you grow personally and professionally to be your best self. You will have a committed team to support you transition to operations, including access to a senior leader mentor for strategic business guidance and a buddy for career advice and support. Attractive conditions and financial support will apply. Training and qualified meteorologists may work in capital cities as well as some regional locations, from the tropics to Antarctica!

Links for application/more information

Looking for a Graduate opportunity at the Bureau? Please visit our website at: http://www.bom.gov.au/careers/grad-met

Lecturer in Mathematical Sciences (Level A/B) @UniSA

Closing date: 15 August 2022
Campus: University of South Australia
Remuneration: Level A $93,165 or Level B $104,838 per annum (plus 17% superannuation)
Status: Two continuing opportunities, flexible employment arrangements available

View full announcement on UniSA’s site.

The University of South Australia is committed to increasing the diversity of our people, so we strongly encourage female applicants, people with a disability and/or Aboriginal or Torres Strait Islanders descent to apply.

At least one of these appointments will be made to a female or gender-diverse applicant.

About the Roles

This is a fantastic opportunity to join an established, high-performing team of mathematics academics at the University of South Australia. These positions will contribute to and enhance our high-quality teaching of service and discipline-specific courses at undergraduate, honours and postgraduate level within UniSA STEM, and help advance STEM’s dynamic research agenda.

The Teaching focused position is responsible for the development and delivery of teaching resources and activities in the Mathematical Sciences in undergraduate and postgraduate programs within UniSA STEM and across the University.

The Teaching and Research focused position is responsible for the development and delivery of teaching resources and activities within STEM’s undergraduate, honours and postgraduate programs and for contributing to STEM’s research agenda. To be considered for Level B, a doctoral qualification in Mathematics, Statistics, or a closely related field, is required.

Please visit UniSA’s site for more information: https://workingatunisa.nga.net.au/cp/index.cfm?event=jobs.jati&jobID=11B4CCA4-10D9-F01E-E48C-C8A5BB852B62.

Research Fellow in Combinatorics@Monash

The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on random generation and enumeration of combinatorial structures, in particular problems related to statistical contingency tables. The research is supported by the Australian Research Council through a Discovery Project held jointly by Prof Nick Wormald at Monash, and Dr Anita Liebenau at UNSW Sydney. Applicants must have a doctoral qualification in Mathematics and a strong background in combinatorial mathematics, including asymptotics and/or random structures.

Job No.: 636115

Location: Clayton campus, Monash University
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $72,205–$97,995 p.a. Level A (plus 10% employer superannuation)

The candidate is expected to spend significant time supervised by Dr Liebenau, possibly including a major extended period with a formal visiting appointment at UNSW Sydney.
This role is a full-time position; however, flexible working arrangements may be negotiated.

The School of Mathematics aims at increasing the representation of women in its academic ranks. Applications from qualified female candidates are especially encouraged.Closing Date
Sunday 3 July 2022, 11:55pm AEST

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

Level A/B Modeller@Burnet Inst.

Closing date: 20 June 2022
Campus: Burnet Institute, Alfred Hospital, Melbourne.
Remuneration: Academic Level A/B
Status: Fixed-term full-time research position (2+ years) in Modelling & Biostatistics

Are you a talented researcher eager to lead real-world mathematical modelling projects in infectious diseases and global health? This could be the role for you!

A unique opportunity exists for a Mathematical Modeller to join Burnet’s Modelling & Biostatistics team. Join an innovative team that is developing and applying epidemiological and costing models around the world across a range of disease areas including COVID-19, HIV, TB, malaria, viral hepatitis, maternal and child health.

This is a full-time position, initially for a 2-year period with the possibility of extension. Flexible working hours will be provided. Work from the comfort of your own home or join us in the office, location is flexible!

In this role you will:

• develop and apply epidemic and economic models to address major public health issue;
• work with a globally based team of expert modellers, epidemiologists, economists, health and policy specialists, and computer scientists to improve models;
• provide modelling and analytical support to governments, policy makers, and other partners including the World Bank, Global Fund, and international health agencies, to improve health budget investment towards better decision-making and impact around the world;
• write high impact academic publications;
• apply innovations and analytical skills to ensure high quality deliverables in a fast-paced environment.

Let’s talk about you

The following criteria are essential:

• Undergraduate degree in modelling, statistics, physics, computer science, or a similar field, OR
• Undergraduate degree in health sciences, biomedicine or a similar field plus experience with data analysis, computing or modelling;
• excellent written and oral communication skills;
• demonstrated project experience, including the ability to successfully lead projects and work as part of a team;
• experience with scientific computing and/or mathematical modelling;
• well-developed modelling skills, with proficiency in Python (preferable), Matlab or similar, as well as experience in code management;
• experience in one or more of the following: Disease epidemiology, Health costing and economics, Communicable diseases, Maternal and child health or nutrition.

The following criteria are desirable but not essential:
• PhD in modelling, statistics, epidemiology, computer science or a similar field;
• a successful academic track record, including peer-reviewed publications and research impact

Links for application/more information

View position description here: https://burnet.edu.au/system/asset/file/5326/Modeller_PD_Jun2022.pdf
Apply here: https://aurecruitment.actionhrm.com/myrecruit/newApplicationWizard.htm?pc=2TD1BtG1Cd8wmIIPF1tePwxx

You will need to attach the following documents:
 • Resume
 • statement addressing the selection criteria.

Upcoming maths jobs @UniSA

The University of South Australia will shortly advertise two new continuing positions in the mathematical sciences. The positions will be advertised at Level A/B, and will be teaching/research or teaching-intensive, with at least one to be a teaching/research position. The areas of specialisation are likely to include optimisation, statistics, data analytics, and classical applied mathematical modelling. At least one of the successful applicants will be female or gender-diverse, and the hiring process will not conclude until this goal has been met. The initial closing date will be at least six weeks after the positions are advertised, and applications will remain open after that if necessary. There will be flexibility in the starting dates for the successful applicants. Women and gender-diverse people are strongly encouraged to apply, as are early-career researchers, recent PhD graduates and PhD students nearing completion.

Research Fellow in Optimisation and Operations Research@Curtin

Closing date: 21 June 2022
Campus: Curtin University, Perth; Curtin Centre for Optimisation and Decision Science
Remuneration: $91,431 – $125,937 p.a. +17% superannuation
Status: Fixed-term full-time research position (4 years)

The Curtin Centre for Optimisation and Decision Science contains 13 full-time staff who specialise in the optimisation and control of complex systems. To continue its growth trajectory, the Centre is seeking a new postdoctoral researcher or senior research fellow to work on demand-driven research projects, conduct high-quality research in mathematical optimisation and operations research, and help drive research funding opportunities. This is a research-focused position reporting to the centre director. The successful candidate will be provided with career development and mentoring opportunities as part of a young, dynamic group in optimisation. 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.

In this role you will:

• Work on optimisation research projects with industry and government partners
• Participate in proposals for research funding and professional consultancy
• Conduct high-quality scholarly research in optimisation and operations research
• Work in partnership with industry and government to translate research findings into real-world impact and commercialisation opportunities
• Supervise and mentor PhD and honours students
• Disseminate research findings through publications in peer-reviewed international journals and through seminars, workshops, and conferences

Why choose Curtin?

• Young, vibrant university that is ranked in the top 300 universities worldwide according to the Academic Ranking of World Universities and QS World University Rankings
• New research centre in optimisation, with external collaborations across all sectors of the economy, including mining, energy, agriculture, defence, and manufacturing
• Balanced university where both fundamental and applied research are valued
• Easily accessible campus with gym, childcare, wellness programs, and medical and counselling services
• Flexible working arrangements
• Located in Perth, the world’s sixth most liveable city according to the 2021 Global Liveability Index by the Economist Group
• Excellent maternity leave arrangements
• One of Australia’s Inclusive Employers for 2019-2020 by the Diversity Council of Australia

For further information on Curtin’s employee benefits visit https://about.curtin.edu.au/

We are looking for someone with:

• A doctoral qualification in mathematics or a related area
• A track record of publications in high-quality international journals in optimisation, operations research, or computational mathematics
• A strong theoretical background in computational algorithms, preferably advanced techniques in integer programming and combinatorial optimisation
• Excellent computing skills and experience working with relevant programming languages and platforms such as Julia, Python, and AIMMS
• Excellent written and verbal communication skills, with the ability to explain mathematical concepts to a non-technical audience
• Interest in demand-driven research, consulting, and research commercialisation
• The ability to translate high-level, loosely defined business challenges into precise problem statements that can be tackled using optimisation techniques

Next steps

To apply, please complete the online application form via this link, noting we cannot accept resumes sent to the below email address.

Please provide a cover letter and resume as well as sufficient information and examples relating to the relevant selection criteria (outlined above) to allow us to assess your suitability for the role.

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.

Postdoc/Associate (Nonlinear PDE)@Sydney

Closing date: 3 July 2022
Campus: University of Sydney, Camperdown Campus; School of Mathematics and Statistics
Remuneration: Level A: Base Salary $95K–$98K p.a. +17% superannuation
Status: Full time 12 months fixed term (with a possible extension)

Do you want to be part of a vibrant and collegial community of world-class mathematicians and statisticians? Applications are invited for a postdoctoral position on the project “Singular solutions for nonlinear elliptic and parabolic equations”, held by Associate Professor Florica Cirstea, (University of Sydney) and Professor Yihong Du (University of New England). This project has recently been funded by the Australian Research Council.

The successful candidate will be expected to carry out collaborative research on this project and we are looking for someone with background in nonlinear partial differential equations with isolated / boundary singularities. The project will focus on the local / global behaviour of singular solutions for general classes of elliptic / parabolic equations with nonlinear source term, along with the existence and classification of the singular behaviour for nonlinear elliptic equations with boundary singularities.
Teaching is not a requirement however opportunities to teach may be available if desired.

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.

Your key responsibilities will be to:

• undertake research in the area of the project
• publish research papers
• demonstrate research excellence
• assist with grant writing and publishing original work.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has:

• a PhD (or near completion) in Mathematics with preference in Partial Differential Equations
• proven published research as sole author or in collaboration
• experience in research record keeping, preparation of research papers and seminars
• the ability to carry out high quality research in the areas of nonlinear analysis and partial differential equations
• a background in elliptic / parabolic equations / fully nonlinear partial differential equations
• a demonstrated ability to conduct high-quality research under limited supervision either independently or as part of a research team
• 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
• excellent written and verbal communication skills.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Closing date for applications: 11.59pm, Wednesday 15 June 2022

Please click here to apply.