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Lecturer in Mathematical Sciences @QUT (women only)

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Closing date: 5 December 2022
Campus: Gardens Point, School of Mathematical Sciences, Faculty of Science, Academic Division, QUT
Remuneration: $AUD119,829 to AUD$142,312 pa (LEVB) (inclusive of $AUD101,257 to $AUD120,255 pa salary, 17% superannuation and 17.5% recreation leave loading)
Status: Ongoing, full-time basis

Open to women applicants only. The filling of this position is intended to promote equal opportunity for women in STEMM by improving the under-representation of women and constitutes a special/equal opportunity measure under section 105 of the Anti-Discrimination Act 1991 (Qld).

For more information and to apply, please check the QUT Site.

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

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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

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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.

Research Fellow – Numerical Analysis@Monash

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The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on a project in Numerical Analysis of PDEs. The role will involve collaborative work with Computer Scientists and Mathematical Biologists.

Job No.: 628753

Location: Clayton campus, Monash University

Employment Type: Full-time

Duration: 2-year fixed-term appointment

The successful candidate will conduct theoretical analysis and perform efficient implementation for novel discretisation techniques applied to the numerical solution of partial differential equations, under the guidance of Associate Professor Ricardo Ruiz Baier. In particular, the intended project is related to the simulation of the coupling between diffusion of intracellular calcium and elasticity in different types of cells (embryonic epithelial, cardiomyocytes, and other single cells or cell compounds), using virtual element methods or other schemes based on polytopal meshes.

Applicants must have a PhD in Applied Mathematics, Numerical Analysis, Scientific Computing, or a related field. It is also expected that they have a sound knowledge and experience in the analysis and implementation of virtual element schemes and/or mixed finite element methods, as well as some knowledge about solid mechanics.

Depending on the experience level of the candidate, this role may be filled at Level A or Level B. Please refer to the position description for different levels.

Closing Date
Thursday 28 April 2022, 11:55pm AEST

For more information or to apply please see here.

Applied Mathematician

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Boeing

Closing date: 6th Aug 2021

Location:Brisbane
Category:Engineering / Technical
Position Type:Permanent
Job Reference:BOE/1550763

An exciting new role has opened up within Boeing Research & Technology Australia’s Brisbane Research Centre, located within the University of Queensland, St Lucia.

The successful candidate will work within a team of passionate mathematicians and engineers to develop state of the art GPU based multi-physics solvers. Essential skills include a familiarity with a range of computational methods for solving partial differential equations as well as experience in the implementation of such methods in a compiled language, particularly C, C++ or FORTRAN.  Experience in developing computational fluid dynamics codes, structural finite element codes or multi-physics codes is considered an advantage. Experience with high performance computing frameworks such as CUDA, OpenACC, OpenMP & MPI will also be considered beneficial.  

Required Qualifications:

  • Research higher degree in Mathematics (PhD or masters)
  • Bachelor degree in Math, Physics or Engineering

Applicants must be Australian Citizens to meet defence security requirements.

More information and application at this page.

Research Software Engineer

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University of Oxford
Department of Statistics

Closing Date: 3rd June 2021

Grade 7: £32,817 – £40,322 p.a. 

Research Software Engineer Applications are invited for a full-time Research Software Engineer to join the Oxford Protein Informatics Group (OPIG). We are recruiting to the vacancy now, for someone to start as soon as possible. You will support the deployment, maintenance, future developments and integration of OPIG’s world-leading immunoinformatics computational tools for pharmaceutical companies, and expand the network of our industrial partners. This exciting position is part of a unique team within the University and will provide an unrivalled and privileged opportunity to interact directly with a highly productive academic group and many pharmaceutical companies.

With a relevant or close to completion PhD/DPhil and post-qualification research experience, your track record will include significant coding experience in a variety of languages and platforms, particularly Python. Prior experience of collaboratively developing software tools in the areas of computational chemistry, structural biology/bioinformatics, statistics or machine learning will be advantageous. Alongside these responsibilities, you will carry out research and develop novel methodologies in at least one of the OPIG research areas; contribute ideas for new research projects; develop ideas for generating research income and act as a source of information and advice for other members of the research group.

This post is fixed-term for 3 years in the first instance.

Only applications received before 12.00 midday on 3 June 2021 will be considered. Interviews will be held on 18 June 2021.

For more information and to apply, click here.

Postdoc position — stochastic modelling

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School of Mathematics and Statistics
UNSW

Closing Date: 10 May 2021

Research Associate to undertake collaborative and self-directed research on an ARC-funded Discovery Project titled “The mathematics of stochastic transport and signalling in cells”. The aim of the project is to develop new stochastic mathematical models of the dynamics of protein transport and cell signalling.

The mathematics will link macro scale biological observations to micro scale molecular movements to characterise the relative role that different components and processes play. Expected outcomes are robust mathematical analyses of the transient dynamics of closed, finite capacity queueing networks and biological insight into the major control mechanisms in cellular insulin signalling. A major objective is the development of methods to quantitatively compare the time courses of stochastic measurements with the outputs of stochastic mathematical models, with a view to driving parameter inference and model selection in these systems.

The position is based at UNSW Sydney and is for up to 3 years. Applications close on May 10, 2021.

Women and people from diverse backgrounds are encouraged to apply.

See https://external-careers.jobs.unsw.edu.au/cw/en/job/501605/research-associate for details.

Please contact Adelle Coster, A.Coster@unsw.edu.au, for more information.

Senior Lecturer – Data Science

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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

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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

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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.