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.
Lecturer – Data Science
/in Job Posting /by Jobs ManagerSchool 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
The Lecturer reports to the Head of School via the Head of Department.
Specific responsibilities for this role include
About the successful applicant
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
/in Job Posting /by Jobs ManagerSchool 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
The Lecturer reports to the Head of School via the Head of the Pure Department.
Specific responsibilities for this role include
About the successful applicant
You should systematically address the selection criteria listed within the position description in your application.
For more information and to apply, click here.
Lecturer – Applied Mathematics
/in Job Posting /by Jobs ManagerSchool 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. 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, 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 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
The Lecturer reports to the Head of School via the Head of Department.
Specific responsibilities for this role include
About the successful applicant
To be successful in this role you will have:
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 Job Posting /by Jobs ManagerSchool 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
The Lecturer/Senior Lecturer reports to the Head of School via the Head of Department.
Specific responsibilities for this role include
LEVEL B – Lecturer
LEVEL C – Senior Lecturer (in addition to the above)
About the successful applicant
To be successful in this role you will have:
LEVEL B – Lecturer
LEVEL C – Senior Lecturer (in addition to the above)
You should systematically address the selection criteria listed within the position description in your application.
For more information and to apply, click here.
PhD position, The University of Melbourne
/in Job Posting /by Jobs ManagerSchool of Mathematics and Statistics
The University of Melbourne
A PhD position is available to work with Dr Jesper Ipsen and other members of the Mathematical Physics Group on the ARC DECRA project “Stability and Complexity: New insights from Random Matrix Theory”. The project is in the fields of Random Matrix Theory and Random Fields with a focus on investigating criteria of stability in large complex systems. The research of this project is mainly fundamental in nature, but the successful candidate will also also have the opportunity to investigate potential applications across a wide range of enterprises, including the physical and biological sciences.
Candidates with a strong interest and demonstrated skills in at least one of the following areas are encouraged to apply: Mathematical Physics, Probability Theory, Complex Systems.
Essential Skills/Qualifications
Please direct expressions of interest to Jesper Ipsen at jesper.ipsen@unimelb.edu.au.
There is no formal closing date for applications, but those received by April 2021 will receive priority.
Register to attend ANZIAM next week
/in AustMS Announcements /by Secretary of the AustMSThe ANZIAM annual meeting (virtual) will take place next week. We have a full meeting with lots of things to get involved in. If you have not paid for registration yet or were still considering attending as a participant, the deadline for talks has lapsed but you may be interested to know that the program and speakers are now published at the top of our website: https://www.anziam.org.au/ANZIAM+Annual+Conference+2021
Please register (and have paid) before January 29th to get access to the event.
We look forward to seeing you there.
Regards Mark Flegg (Chair of the ANZIAM2021 organising committee)
Postdoctoral Research Assistant in Computational Statistics and Statistical Machine Learning
/in Job Posting /by Jobs ManagerStatistics
University of Oxford
Closing Date: 26th February 2021
Applications are invited for a full-time postdoctoral research assistant in computational statistics and statistical machine learning to work on the development and theoretical analysis of novel scalable methods for inference and learning.
For challenging high-dimensional problems, standard inference techniques such as Markov chain Monte Carlo methods are too computational intensive. Techniques such as variational methods have become prominent but are much less well-understood theoretically. The objective of this project is to develop novel scalable methods for inference and learning in high-dimensional scenarios and to analyze theoretically the resulting algorithms: consistency, non-asymptotic generalization bounds etc.
The main duties and responsibilities of the postholder will include conducting original research in the project area, developing novel scalable methods for Bayesian inference, developing theoretical and empirical frameworks for analysing the developed methodologies, publishing outcomes of research and disseminate research findings in talks at suitable seminars, workshops and conferences.
Applicants are sought who already have, or are close to the completion of, a doctorate in Applied Probability, Statistics or affiliated discipline. The successful candidate will have significant relevant experience in the development and study of inference and learning schemes and the ability to conduct and complete high-quality research independently, collaborate effectively with PIs and project partners. They will be able to communicate results effectively and supervise the research of DPhil students or junior researchers attached to the project.
Queries about the post should be addressed to Professor Arnaud Doucet at doucet@stats.ox.ac.uk.
This post is fixed-term for 18 months and no longer than 31 December 2022.
Only applications received before 12.00 midday on 26 February 2021 will be considered.
Interviews will be held on 15 March 2021.
For more information and to apply, click here.
Science Meets Parliament 2021 Scholarships
/in AustMS Announcements /by Secretary of the AustMSScience & Technology Australia is offering eight scholarships to the 21st anniversary Science meets Parliament this year, to be held virtual from 2 March to 1 April 2021.
Science meets Parliament brings Australian scientists and technologists together for professional development, networking, and to meet with MPs and Senators. It is a highlight of the annual parliamentary calendar and has enhanced mutual understanding between parliamentarians and scientists as well as fostering enduring partnerships and collaborations.
Two (2) Scholarships are open to STEM practitioners in each of the following categories:
Scholarships will cover full registration including the national gala dinner (if recipient located in one of the host cities), one-on-one mentoring from a previous delegate and attendance to the ‘Becoming an online influencer’ webinar (exclusive to scholarship recipients and supporters).
Applications can be made at https://scienceandtechnologyaustralia.org.au/scholarships-science-meets-parliament-2021/
Please note that to be eligible for these scholarships you must be a member of or employed by an STA member organisation.
Applications will close on 17 February 2021, with recipients to be contacted by 23 February and an announcement made shortly after.
For organisations interested in supporting one or more scholarships through sponsorship please get in touch with us at info@sta.org.au.
Ph.D. position
/in Scholarship /by Jobs ManagerSchool of Mathematical and Physical Sciences
The University of Newcastle
Closing Date: 31st March 2021
A Ph.D. position is available in 2021 to work with Dr Stephan Tornier and other members of the Zero-Dimensional Symmetry Research Group on the ARC DECRA project “Effective classification of closed vertex-transitive groups acting on trees”.
Candidates with a strong interest and demonstrated skills in at least one of the following areas are encouraged to apply: (topological) group theory, computational algebra (e.g. with GAP), graph theory, combinatorics.
The successful candidate is expected to be able to work independently and self-motivated, as well as contribute collaboratively to the research team.
An ARC PhD stipend at the 2021 indexed rate of $28,612 p.a. is available for up to 3.5 years.
Essential qualifications
Desirable qualifications
Please direct expressions of interest to stephan.tornier@newcastle.edu.au by March 31, 2021.
SMRI-MATRIX Symposium with Martin Hairer
/in Matriχ, SMRI /by David RobertsYou are invited to join us for a symposium that explores the mathematics of Fields Medallist and Breakthrough Prize winner Martin Hairer, Professor of Mathematics at Imperial College London.
Professor Hairer’s colloquium ‘Taming infinities’, will be held online on Wednesday 3 February at 20:00 (Australian Eastern Daylight Savings Time).
Professor Hairer will delve into the conceptual and mathematical aspects of “renormalisation” techniques and how they have recently been used in probability theory to study equations, the meaning of which were hitherto unknown.
The program also includes talks by Australian mathematicians, mini-courses facilitated by Professor Hairer and discussion meetings.
Whether you just want a broad introduction to Martin Hairer’s mathematical world, or you are keen to gain a deeper understanding of some of his techniques, this symposium is the right event for you!
Dates: 3-19 February 2021
Symposium Organisers: Beniamin Goldys (The University of Sydney), Ngan Le (Monash University) and Pierre Portal (The Australian National University)
Sponsors: Sydney Mathematical Research Institute (SMRI) and MATRIX
Further information and registration (free): https://www.matrix-inst.org.au/events/symposium-with-martin-hairer/
The schedule will be updated over the coming weeks. The colloquium and other talks will be recorded and made available for registered participants.