Postdoctoral Research Associate in Statistics

/in /by

University of Oxford
Department of Statistics

Closing Date: 2nd June 2021

Grade 7: £32,817 – £40,322 p.a.

Applications are invited for a full-time Postdoctoral Research Associate in Statistics to carry out research in the area of developing characterisations of network models and interactions with methods in statistical machine learning. You will provide guidance to junior members of the research group including project students and PhD students. You will manage your own academic research and administrative activities, prepare working theories and analyse qualitative and/or quantitative data, contribute ideas for new research projects, as well as develop ideas for generating research income. You will present detailed research proposals to senior researchers and collaborate in the preparation of research publications. You will act as a source of information and advice to other members of the group on methodologies or procedures and represent the research group at external meetings and seminars.

As the successful Postdoctoral Research Associate in Statistics, you will hold or be close to completion of a relevant PhD, together with relevant experience, in the area of probability or statistical machine learning. You will possess sufficient specialist knowledge in probability theory and statistical machine learning and have the ability to manage own academic research and associated activities. Previous experience of contributing to publications and presentations is essential. Ideally, you will possess specialist knowledge on Stein’s method or network analysis.

Queries about this post should be addressed to: Gesine.Reinert@stats.ox.ac.uk.

This post is fixed-term for three years.

Research Software Engineer

/in /by

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

/in /by

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.

Academic Positions at UTas (Hobart)

/in /by

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

/in /by

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.

PhD scholarship on ‘the synchronisation hierarchy of permutation groups’

/in , /by

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)

Postdoctoral Research Assistant

/in /by

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

/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 – 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 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

/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 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.