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Lecturer in Applied Mathematics @UNSW Canberra

Location: UNSW Canberra Campus
Employment Type: Full-time
Duration: fixed term 5 years
Remuneration:  $112 697 – $132 832 p.a. + 17% superannuation (Level B)
Closing Date: 19 September 2022

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

As a Mathematics Lecturer in the School of Science, you will showcase your knowledge and experience in Applied Mathematics in the areas of teaching and research in the School. In particular, you will be responsible for delivering, in collaboration with colleagues from the School of Engineering, an introductory computer science course taken by all engineering students. You will also be expected to teach introductory and upper-level mathematics courses to our Science majors, and to address the growing demands for mathematics support teaching. You will also be involved in advancing the School of Science at UNSW Canberra’s international profile by conducting high quality scholarly research in Applied Mathematics, aligning with the School’s research priorities and contributing to the supervision of research students.

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

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.

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.

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.

Lecturer/Senior Lecturer in Statistics, Data Science, Stochastic Modelling

School of Mathematical Sciences
University of Adelaide

Closing date: 1st August 2021

(Level B, Lecturer) $100,933 to $119,391 or (Level C, Senior Lecturer) $123,075 to $141,537 per annum plus an employer contribution of up to 17% superannuation may apply. 

Three-year fixed term position available from December 2021.  On conclusion of the three-year term, the position may be converted to a continuing position under the provisions of the University’s Enterprise Agreement.  

Two full-time positions are available.

The University of Adelaide is seeking to grow the statistics, data science, and stochastic modelling team in the School of Mathematical Sciences. This is an opportunity for a highly motivated researcher and committed educator to join a School that is a leader in pedagogical innovation and received the highest possible rating of research quality in the mathematical sciences overall and in each of its disciplines in the two most recent ERA assessments.

The School has identified data science, broadly construed, as one of its strategic priorities. We are seeking an enthusiastic colleague to work with us to expand our research and educational offerings in statistics, data science, and stochastic modelling. Willingness to engage with industry would be an asset. 

The School is strongly committed to increasing the diversity of its staff and students. These two available positions are directed at applicants who are able to contribute to the diversity of the School community.

For more information and to apply, click here.

Lecturer in Mathematics

University of Sydney
School of Mathematics and Statistics

Closing Date: 13th June 2021

We are currently seeking to appoint an accomplished academic to the position of Lecturer in Mathematics. To succeed, you will be a talented and well-qualified mathematician with a passion for teaching and research expertise in an area that strengthens the school’s profile and align with the research interests of SMRI’s director   Professor Geordie Williamson. This includes, but is not limited to algebra, geometry and representation theory. In particular, researchers with background in geometric representation theory, algebraic geometry or homotopy theory are particularly encouraged to apply. You will need to have appropriate skills and qualifications as outlined in the position description, including a PhD in Mathematics.

If appointed, you will be expected to undertake duties consistent with an appointment at the Lecturer level (Level B) on the Australian academic scale. This will include: publishing scholarly papers in international peer-reviewed journals and presenting at conferences; supervising undergraduate and postgraduate students; teaching a range of courses to undergraduate students; and applying for external funding.

For more information and to apply, click here.

Lecturer/Senior Lecturer in Data Science

University of Sydney
School of Mathematics and Statistics

Closing Date: 4th July 2021

The University of Sydney is welcoming applications for a Lecturer/Senior Lecturer in Data Science to join leading experts at the School of Mathematics and Statistics, within the Faculty of Science. We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia assessment to date.

As a Lecturer/Senior Lecturer in Data Science you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. We are welcoming applicants from different research backgrounds who can bring their own research agenda, complementing the Schools’ current research foci, whilst benefiting from our supportive community of world-class mathematicians and statisticians. We invite applicants with research strengths in the intersection between Data Science and Mathematics or Statistics. This includes, but is not limited to, topics such as statistical machine learning, mathematical foundations of machine learning, computational statistics, information theory, information geometry, statistical natural language processing, topological data analysis,  Bayesian inference, and research areas combining mathematical modelling, computational statistics, and data analysis.

For more information and to apply, click here.

Lecturer/Senior Lecturer in Statistics

University of Sydney
School of Mathematics and Statistics

Closing Date: 4th July 2021

The University of Sydney is welcoming applications for a Lecturer/Senior Lecturer in Data Science to join leading experts at the School of Mathematics and Statistics, within the Faculty of Science. We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia assessment to date.

As a Lecturer/Senior Lecturer in Data Science you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. We are welcoming applicants from different research backgrounds who can bring their own research agenda, complementing the Schools’ current research foci, whilst benefiting from our supportive community of world-class mathematicians and statisticians. We invite applicants with research strengths in the intersection between Data Science and Mathematics or Statistics. This includes, but is not limited to, topics such as statistical machine learning, mathematical foundations of machine learning, computational statistics, information theory, information geometry, statistical natural language processing, topological data analysis,  Bayesian inference, and research areas combining mathematical modelling, computational statistics, and data analysis.

For more information and to apply, click here.

Lecturer – Data Science

School of Mathematics and Statistics
UNSW

Closing Date: 8th March 2021

The School of Mathematics and Statistics currently has more than sixty continuing academic staff and more than thirty research staff as well as visiting academics. UNSW is the only university in Australia to be ranked in the top 100 in the world in Mathematics and Statistics by each of the four ranking bodies: CWTS Leiden, ARWU, USNews, QS. The School embodies a broad range of research interests in the areas of applied and pure mathematics and statistics. It has particular research strengths in Algebra and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Biostatistics and Ecology, Combinatorics, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Functional and Harmonic Analysis, Geometry, Mathematical Physics, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, Stochastic Modelling and Fractional Calculus. The School’s research groups are interconnected, with frequent interactions between groups and with other schools and faculties both within and outside UNSW. The School is currently expanding its teaching and research programs in Data Science. The School is affiliated with the newly established UNSW Data Science Hub which is a major strategic initiative of the Faculty of Science to cultivate and promote foundational and applied research in Data Science.

The Lecturer in Data Science will; (i) conduct research in this specialized field and align, where possible, with the existing research strengths in the School; (ii) contribute actively to the School’s teaching activities in Data Science and Statistics across a range of undergraduate and postgraduate courses, including online teaching; (iii) engage with the community and industry to build links in Data Science.

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

About the role

  • $109k – $128k – plus 17% Superannuation and leave loading
  • Fixed Term – 5 years CTT (Convertible Tenure Track)
  • Full-time (35 hours per week)

The Lecturer reports to the Head of School via the Head of Department.

Specific responsibilities for this role include

  • Actively carry out research in Data Science, Mathematics and Statistics with a view to publication in influential and high-impact scholarly journals.
  • Work both collaboratively and independently on research grant proposals and applications to national competitive grant agencies and other funding bodies.
  • Develop research collaborations within the School as well as links with other groups on campus and with industry.
  • Develop research collaborations nationally and internationally.
  • Actively disseminate research findings at seminars and conferences within the School, the UNSW environment, nationally and internationally.
  • Supervise Honours and Masters Course Work projects; and supervise PhD and Masters Research students.
  • Teach data science, mathematics, and statistics courses to a range of audiences at the University.
  • Teach specialist Honours and Masters level courses.
  • Contribute to the design and delivery of the School’s face-to-face teaching programs and courses.
  • Contribute to the design and delivery of the School’s online teaching programs and courses.
  • Actively participate in School activities and demonstrate an ability and willingness take on leadership roles in the School.
  • Undertake administrative duties as specified by the Head of School and participate in School, Faculty and/or University committees as required.
  • Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.
  • Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

About the successful applicant

  • PhD or equivalent qualification in relevant mathematical or data sciences.
  • Demonstrated research ability in Data Science, Mathematics and Statistics.
  • Demonstrated ability to conduct research with other researchers in the School.
  • Evidence of effective teaching experience.
  • Evidence of research group collaborations.
  • Capacity to conduct productive research at an international level.
  • Strong publication record in top, peer-reviewed journals.
  • A record, or demonstrated ability, of success in external research funding.
  • Ability to supervise PhD students.
  • Experience in student supervision including, for example, Honours, Masters, Vacation Scholars projects.
  • Willingness to engage in teaching into online programs in Data Science and Statistics.
  • Excellent oral and written communication skills.

You should systematically address the selection criteria listed within the position description in your application.

For more information and to apply, click here.

Lecturer – Pure Mathematics

School of Mathematics and Statistics
UNSW

Closing Date: 8th March 2021

The School of Mathematics and Statistics currently has more than sixty continuing academic staff and more than thirty research staff as well as visiting academics. UNSW is the only university in Australia to be ranked in the top 100 in the world in Mathematics and Statistics by each of the four ranking bodies: CWTS Leiden, ARWU, USNews, QS. The School embodies a broad range of research interests in the areas of applied and pure mathematics and statistics. In Pure Mathematics, the School has particular research strengths in Algebra, Analysis, Combinatorics, Geometry, Mathematical Physics and Number Theory. More broadly, the School also has research strengths in Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Biostatistics and Ecology, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Data Science, Finance and Risk Analysis, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, Stochastic Modelling and Fractional Calculus. The School is also expanding its teaching and research programs in Data Science. The School’s research groups are interconnected, with frequent interactions between groups and with other schools and faculties both within and outside UNSW.

The Lecturer conducts research in areas that align with the research strengths in the School; and contributes actively 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.

About the role

  • Level B – $109K – $128K plus 17% Superannuation and annual leave loading
  • Fixed Term – 5 years CTT (Convertible Tenure Track)
  • Full-time (35 hours per week)

The Lecturer reports to the Head of School via the Head of the Pure Department.

Specific responsibilities for this role include

  • Actively carry out research in the areas that align with the research strengths in the School with a view to publication in influential and high-impact scholarly journals.
  • Work both collaboratively and independently on research grant proposals and applications to national competitive grant agencies and other funding bodies.
  • Develop research collaborations within the School as well as links with other groups on campus and with industry.
  • Develop research collaborations nationally and internationally.
  • Actively disseminate research findings at seminars and conferences within the School, the UNSW environment, nationally and internationally.
  • Supervise Honours and Masters Course Work projects; and supervise PhD and Masters Research students.
  • Teach mathematics courses to a range of audiences at the University.
  • Teach specialist Honours and Masters level courses.
  • Contribute to the design and delivery of the School’s teaching programs and courses.
  • Actively participate in School activities and demonstrate an ability and willingness take on leadership roles in the School.
  • Undertake administrative duties as specified by the Head of School and participate in School,
  • Faculty and/or University committees as required.
  • Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.
  • Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

About the successful applicant

  • PhD or equivalent qualification in relevant mathematics sciences.
  • Demonstrated research ability in an area of Pure Mathematics, which aligns with the research directions in the School. Mathematicians working in algebra or geometry are particularly encouraged to apply.
  • Evidence of effective teaching experience.
  • Evidence of research group collaborations.
  • Capacity to conduct productive research at an international level.
  • Strong publication record in top, peer-reviewed journals.
  • A record, or demonstrated ability, of success in external research funding.
  • Ability to supervise PhD students.
  • Experience in student supervision including, for example, Honours and Masters and vacation scholar projects.
  • Excellent oral and written communication skills.
  • Excellent leadership skills, including competence in modelling behaviours that align with the University’s values and the ability to foster these in staff, students and the broader University community.
  • An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training

You should systematically address the selection criteria listed within the position description in your application.

For more information and to apply, click here.