Posts

Senior Lecturer (Mathematics and Data Analytics) @Notre Dame

/in /by

Location: The University of Notre Dame Australia; Sydney campus, School of Arts & Sciences
Employment Type: Level C — Senior Lecturer
Duration: Continuing, Full time
Closing Date: 5 November 2023

The University of Notre Dame Australia is a private Catholic University with over 1,000 permanent staff providing an exceptional educational experience to over 12,000 students across our Fremantle, Broome, and Sydney campuses, as well as clinical schools in Victoria and New South Wales.

Key responsibilities

  • Deliver student focused learning and teaching to undergraduate and postgraduate students in Mathematics and Data Analytics.
  • Conduct digital and face-to-face lecturers, seminars, tutorials, workshops and placement supervision.
  • Coordinate programs in Mathematics at undergraduate and postgraduate level.
  • Provide leadership in the development, review and improvement of programs.
  • Encourage and monitor the implementation of approved program regulations, policies and the promotion of the programs.
  • Oversee curriculum innovation and content design.
  • Contribute to the ongoing development of teaching and research within the discipline of Mathematics, Data Analytics and Computer Science.
  • Provide program advice and pastoral care to students.
  • Undertake nationally competitive, high quality, and impactful research, and supervise higher degree by research students

About you

  • A PhD in Mathematics or related field
  • Significant experience teaching in relevant areas, including, but not limited to: Statistics, Algebra, Calculus, Linear Algebra, Discrete Mathematics, Differential Equations and Multivariable Calculus
  • Demonstrated teaching excellence with experience in program coordination, curriculum design and accreditation.
  • A record of quality research or impactful and industry engaged research in a relevant subject area.
  • Proven experience with online or blended delivery
  • Experience with mathematical or statistical software
  • Academic leadership experience with the ability to effectively mentor other staff.
  • Ability to work with students from diverse backgrounds and with diverse skills
  • Experience in delivering courses to pre-service high school mathematics teachers.
  • Experience supervising postgraduate coursework and HDR students.
  • Experience in University committees, including learning and teaching committees.
  • Experience collaborating with industry partners.
  • Demonstrated ability to attract funding for initiatives related to research or learning and teaching.

How to apply.

Please apply online with a resume and cover letter outlining your suitability for the role.

Applications close 5 November 202

For more information and to apply, please visit this page.

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

/in /by

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/Senior Lecturer in Data Science

/in /by

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

/in /by

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.

Senior Lecturer – Data Science

/in /by

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 Senior 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

  • $132k – $152k – plus 17% Superannuation and leave loading
  • Fixed Term – 5 years CTT (Convertible Tenure Track)
  • Full-time (35 hours per week)

The Senior 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
  • 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
  • Significant role in research projects including, where appropriate, leadership of a research team
  • Perform senior administrative duties as specified by the Head of Department or Head of School
  • Assume a major role in planning or committee work

About the successful applicant

  • PhD or equivalent qualification in relevant mathematics 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
  • 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
  • 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
  • A substantial record of publications in top, peer-reviewed journals
  • Evidence of supervision of PhD students
  • Strong dedication to independent research and research leadership
  • Demonstrated record of competitive external research funding
  • 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.

Lecturer/Senior Lecturer – Applied Mathematics

/in /by

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 Applied Mathematics, the School has particular research strengths in Mathematical Modelling and Biomathematics, Computational Mathematics, Dynamical Systems and Integrability, Ocean and Atmospheric Sciences, Nonlinear Phenomena, Optimisation, Fractional Calculus, and Stochastic Modelling. More broadly, the School also has research strengths in Algebra and Number Theory, Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science, Finance and Risk Analysis, Functional and Harmonic Analysis, Geometry, Mathematical Physics, Nonparametric Statistics, and Stochastic Analysis. 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/Senior 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
  • Level C – $132k – $152k – plus 17% Superannuation and annual leave loading
  • Fixed Term – 5 years CTT (Convertible Tenure Track)
  • Full-time (35 hours per week)

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

Specific responsibilities for this role include

LEVEL B – Lecturer

  • Actively carry out research in an area of applied mathematics that aligns with the research strengths in the School, with a view to publication in influential and high-impact scholarly journals. Mathematicians working at the interface of applied mathematics and data science are particularly encouraged to apply.
  • 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.

LEVEL C – Senior Lecturer (in addition to the above)

  • Significant role in research projects including, where appropriate, leadership of a research team.
  • Perform senior administrative duties as specified by the Head of Department or Head of School.
  • Assume a major role in planning or committee work.

About the successful applicant

To be successful in this role you will have:

LEVEL B – Lecturer

  • PhD or equivalent qualification in relevant mathematics sciences.
  • Demonstrated research ability in an area of Applied Mathematics or Data Science, which aligns with the research directions 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 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

LEVEL C – Senior Lecturer (in addition to the above)

  • A substantial record of publications in top, peer-reviewed journals
  • Evidence of supervision of PhD students
  • Strong dedication to independent research and research leadership
  • Demonstrated record of competitive external research funding
  • Strong track record of successful postgraduate supervision

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

For more information and to apply, click here.

Senior Lecturer (Level C) in Applied Mathematics

/in /by

School of Environment and Science
Griffith University

Closing Date: 15th February 2021

A Lecturer is expected to make contributions to the teaching effort of the University and to carry out activities to maintain and develop scholarly, research and/or professional activities relevant to the discipline.  A Lecturer is expected to carry out independent and/or team research and may supervise postgraduate research students.A Senior Lecturer is expected to make significant contributions to the teaching effort of the Department/School and Academic Group and play a major role in scholarship, research and/or professional activities.  A Senior Lecturer is expected to make independent and original contributions to research which have significant impact on the field of expertise.

The position will commence with a Teaching and Research profile of which the appointee will be required to undertake teaching and research in their chosen area of expertise (Applied Mathematics),  as well as contribute to the School/Centre/Institute’s teaching outcomes supporting teaching excellence and research outcomes including alignment with relevant Centre/Institutes research agendas, publications and research success, and higher degree research supervision and completions, and engagement activities.

This is a continuing, fulltime position based at the Nathan campus. Griffith is a multi-campus university and therefore it is understood that this position will work across campuses as required.

For more information and to apply, click here.

Lecturer / Senior Lecturer in Applied Mathematics (Women-Only Applicants)

/in /by

School of Mathematics and Physics
University of Queensland

Closing Date: 20th November 2020

The School seeks to recruit a staff member with a developed research program in applied mathematics broadly interpreted, including mathematical modelling, applied probability, mathematical data science and computational mathematics, or a closely related area of mathematics. The appointee will be required to engage in undergraduate and postgraduate teaching and curriculum development, including service courses. In addition, the appointee will supervise Higher Degree by Research, postgraduate coursework and Honours students, conduct high-quality research and perform administrative, outreach and other activities associated with the School.

Applicants should have a PhD or equivalent in applied mathematics or a closely related discipline, with an established record of outstanding original research commensurate with career stage. They should have a strong publication record and potential or demonstrated ability to attract external grant funding. They will be an enthusiastic teacher, with the ability to teach courses and supervise projects at undergraduate and postgraduate level, including courses for non-specialist students. Applicants should be able to demonstrate an ability or potential to establish effective professional relationships and to represent and promote the academic discipline at a university and wider community level, including industry, government and professional bodies, as well as to contribute to internal and external service.

For more information and to apply, click here.