Academic Positions at UTas (Hobart)

There is an ongoing full-time position in the Discipline of Mathematics, University of Tasmania (Hobart)
Level B/C in applied mathematics or statistics and decision science.

Closing date 12 March 2021

Further details at: https://www.seek.com.au/job/51518470?type=standout#searchRequestToken=83f2d248-9d49-48a2-87a2-d223dc47a303

posted on behalf of Andrew Bassom andrew.bassom@utas.edu.au

Academic Positions at UNSW

There are five positions currently available in the School of Mathematics and Statistics, UNSW in Sydney:
    Lecturer in Applied Mathematics
    Lecturer/Senior Lecturer in Applied Mathematics
    Lecturer in Pure Mathematics
    Lecturer in Data Science
    Senior Lecturer in Data Science

5-year terms, convertible tenure track — Closing date: Monday 8 March, 2021

Details are on the webpage: https://www.maths.unsw.edu.au/news/2021-02/positions-available

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

The 13th Delta Conference – First Announcement

On behalf of the organising committee, we are delighted to share the first announcement of the 13th Southern Hemisphere Delta Conference on the Teaching and Learning of Undergraduate Mathematics and Statistics to be held on 22 – 25 November 2021 at the University of Auckland, New Zealand. For the first time, the conference presentations will be made online via video conferencing. Delta attracts an international audience of academics interested in mathematics and statistics education, including disciplinary specialists, education theorists, and tertiary education practitioners across the mathematical sciences and engineering. Traditionally, the conference focuses not only on the dissemination of practical initiatives but also on research outputs, which are published as double-blind peer-reviewed articles in the special issue of the International Journal of Mathematical Education in Science and Technology (submission deadline is 6 April https://bit.ly/International_Journal_Mathematical_Education_Science_Technology; guest editor: Tanya Evans) and as full double-blind peer-reviewed papers in the conference proceedings (submission deadline is 13 August; editors: Stephanie Budgett and Rosalind Cameron).

Registrations will open on 18 February 2021. The Early-bird conference registration fee is NZ $120 before 30 September 2021, while the standard conference registration fee is NZ $150 after 30 September 2021.

For further information about the conference, see our website: https://www.herengadelta.org/.

Local Organising Committee:

Stephanie Budgett, Rosalind Cameron, Tanya Evans, Phil Kane, Rachel Passmore, Cami Sawyer, Kerri Spooner

Convenor: Phil Kane

Kind regards | Ngā mihi
 
Dr Tanya Evans

Two mathematics PhD scholarships: University of Western Sydney and University of Western Australia

James East is advertising a PhD scholarship on diagram monoids/categories and transformation semigroups.  Applicants with related backgrounds are welcome to apply.  Closing date is 28 Feb.  Please pass this on to any students who might be interested.


John Bamberg, Michael Giudici and Gordon Royle are advertising a PhD scholarship on the “synchronisation hierarchy of permutation groups” – link is below. Applicants with related backgrounds are welcome to apply.  Closing date is 28 Feb.  Please pass this on to any students who might be interested.

SMRI Domestic Visitor Program 2021 – applications open

Another round of the SMRI Domestic Visitor Program is now open for applications. This
is for researchers in the mathematical sciences from other Australian universities who
wish to do research at SMRI either individually or as part of a group of collaborators;
funding is available for successful applicants who are not from Sydney.

The deadline for applications is 2-6 months before a potential visit.
Applications should be sent by email to smri.exec@sydney.edu.au with the information
requested in the terms and conditions, see the SMRI website: https://mathematical-research-institute.sydney.edu.au

Applications from female and gender-diverse researchers, and from researchers belonging to
other groups which are underrepresented in the mathematical sciences, are particularly encouraged.
Please direct questions about the conditions to the Institute’s Executive Director Anthony Henderson at the above email address.

PhD scholarship on ‘the synchronisation hierarchy of permutation groups’

Centre for the Mathematics of Symmetry and Computation
University of Western Australia

Closing Date: 28 February 2021

We are advertising a PhD scholarship on the “synchronisation hierarchy of permutation groups” – link is below.

Applicants with related backgrounds are welcome to apply.
Closing date is 28 Feb.

Please pass this on to any students who might be interested. https://www.scholarships.uwa.edu.au/search/?sc_view=1&id=10764


Best wishes,

John Bamberg (UWA)
Michael Giudici (UWA) and
Gordon Royle (UWA)

SMRI Domestic Visitor Program 2021

Another round of the SMRI Domestic Visitor Program is now open for applications. This
is for researchers in the mathematical sciences from other Australian universities who
wish to do research at SMRI either individually or as part of a group of collaborators;
funding is available for successful applicants who are not from Sydney.

The deadline for applications is 2–6 months before a potential visit.
Applications should be sent by email to smri.exec@sydney.edu.au with the information
requested in the terms and conditions, see the SMRI website:

https://mathematical-research-institute.sydney.edu.au

Applications from female and gender-diverse researchers, and from researchers belonging to
other groups which are underrepresented in the mathematical sciences, are particularly encouraged.
Please direct questions about the conditions to the Institute’s Executive Director Anthony Henderson
at smri.exec@sydney.edu.au .

Postdoctoral Research Assistant

Statistics
University of Oxford

Closing Date: 12th March 2021

We are seeking a Postdoctoral Research Assistant, to join our group at the Department of Statistics. The Postdoctoral Research Assistant will be carrying out research for the ERC project General Theory for Big Bayes, reporting to Professor Judith Rousseau. They will provide guidance to junior members of the research group such as PhD students, and/or project volunteers. The aim of this project is to develop a general theory for the analysis of Bayesian methods in complex and high (or infinite) dimensional models which will cover not only fine understanding of the posterior distributions but also an analysis of the output of the algorithms used to implement the approaches. The main objectives of the project are (briefly): 1) Asymptotic analysis of the posterior distribution of complex high dimensional models 2) Interactions between the asymptotic theory of high dimensional posterior distributions and computational complexity. We will also enrich these theoretical developments by 3) strongly related domains of applications, namely neuroscience, terrorism and crimes and ecology.

The postholder will hold or be close to completion of a PhD/Dphil in statistics together with relevant experience. They will have the ability to manage own academic research and associated activities and have previous experience of contributing to publications/presentations. They will contribute ideas for new research projects and research income generation. Ideally, the postholder will also have experience in theoretical properties of Bayesian procedures and/or approximate Bayesian methods.

Queries about this post should be addressed to professor Judith Rousseau judith.rousseau@stats.ox.ac.uk

This post is fixed-term until three years

Only applications received before 12.00 midday on 12 March 2021 will be considered.

Interviews will be held on 29 March 2021.

For more information and to apply, click here.

Senior 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 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 – 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.