Lecturer/Senior Lecturer in Statistics

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.

Postdoctoral positions in Mathematics and Stochastics

Aarhus University
Department of Mathematics

Closing Date: 1st August 2021

The Department of Mathematics at Aarhus University, Denmark, a top 100 University, is seeking top early-career researchers for a number of attractive one to three year postdoctoral positions within Mathematics and Stochastics.

The positions are open from January 1st 2022.

Applicants in all areas of mathematics and stochastics covered by the research groups of the department will be considered. For an overview of the research areas covered by the department, see the home page for the Mathematics Section and for the Stochastics Section. In particular, there will be postdoc stipends available in the areas listed here:

https://math.au.dk/om/ledige-stillinger/postdoc/
The employment period for each of the available positions can be found via the link above.

When applying, you will be asked to indicate, which – if any — of the areas listed on the page above are of interest to you. The page may be updated with new areas up until the deadline for application. The indication of which research areas you are interested in at the time of application, does not automatically exclude you from being taken into consideration for positions in the other research areas available at the time of application, including research areas that may be added later. 

For more information and to apply, click here.

Postdoctoral Research Fellowship in Causal Inference and Causal Machine Learning motivated by Health Applications

University of Oxford
Department of Statistics

Closing Date: 25th June 2021

Grade 8: £41,526 – £49,553 p.a 

Applications are invited for a full-time 3-year Postdoctoral Research Fellowship in Causal Inference and/or Causal Machine Learning motivated by Health Applications. The project is part of a wider collaboration with Novo Nordisk and the University of Manchester within a network of researchers that includes UC Berkeley and Copenhagen. The postholder will research novel statistical and machine learning methodologies that have the potential to improve causal inference and prediction in large scale systems, with a particular emphasis towards understanding the co-occurrence of diseases within individuals.

You will develop research questions and conduct individual research, utilising access to detailed real-world quantitative data from a variety of sources to motivate new methodologies. You will develop and implement novel scalable methods for causal inference and learning, and regularly write research articles and publish outcomes of research in relevant high-profile international journals and conferences. There is significant funding to support attendance at international conferences and travel visits across the research network mentioned above. You will provide guidance to junior members of the research group including PhD students. 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 conferences, external meetings, and seminars.

We are seeking an exceptional candidate who holds (or is close to completing) a PhD in Statistics, Machine Learning, or a related field, together with relevant experience in probabilistic models and/or causal inference. You will possess sufficient specialist knowledge in scalable probabilistic models and can manage your own academic research and associated activities. Previous experience of contributing to publications and presentations is essential.

This post is fixed-term up to three years, in the first instance.

Only applications received before 12.00 midday on 25 June 2021 will be considered. Interviews will be held on 7 July 2021.

Contact Email :  HR@stats.ox.ac.uk

For more information and to apply, click here.

Postdoctoral Research Associate in Mathematics (Level A)

University of Technology Sydney
School of Mathematical and Physical Sciences

Closing Date: 28th June 2021

An exciting opportunity exists for Postdoctoral Research Associate (Level A) to conduct research in a collaborative research team based within the Faculty of Science at UTS.

This position is part of a research project funded by the ARC Discovery Project “Geodetic groups: foundational problems in algebra and computer science” awarded to Professor Murray Elder (UTS), Dr Adam Piggott (Australian National University) and Professor Volker Diekert (University of Stuttgart).

The role will carry out mathematical research, prepare, and present results in papers and conferences, co-supervise undergraduate and graduate research students, and be involved in outreach and mentoring activities. You will bring to the position expertise in geometric or computational group theory, combinatorics, and/or theoretical computer science.

Additionally, you will be expected to support the activities of the research team and apply for independent research fellowship or funding.

Skills and Attributes

  • Ability to undertake original research, as evidenced by timely and high-quality outputs.
  • Willingness to contribute to seek research funding from external sources.
  • Provide quality research supervision, where eligible, for Higher Degree Postgraduate and Honours students.
  • Demonstrated capacity to work independently and as part of a team.
  • Excellent oral and written communication skills.
  • Ability to critically think and independently.

Qualifications and Experience

Mandatory

  • PhD in geometric group theory, combinatorics, theoretical computer science or related areas.
  • Excellent written and oral communication skills in English.
  • Demonstrated organisational skills, time management and ability to work to deadlines.
  • Demonstrated problem solving abilities and analytical skills.
  • The ability to work independently as well as collaboratively as a member of a team.

Preferred

  • Publications in geometric group theory and/or formal language theory, automata, rewriting systems.
  • Proficient programming skills.
  • Experience with computer algebra systems such as GAP.

Please refer to the Position Description for further information. Only those applications submitted via the UTS online recruitment system will be accepted.

Apply online here.

OPTIMA Postdoctoral Research Fellow

University of Melbourne

Closing Date: 14th June 2021

The Research Fellow is expected to conduct world-class research and provide training for research students working in industrial optimisation as a key appointee in a newly established ARC Training Centre in Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA). The research program involves a focus on model-based and black-box optimisation methodologies of relevance to a broad range of industry partner optimisation challenges. A multidisciplinary approach is expected, drawing from techniques developed in mathematics, computer science, statistics, engineering, and economics.

We invite applications from Level A and Level B candidates. Although advertised full-time, part-time working hours and flexible conditions will be considered.

For more information and to apply, click here.

Postdoctoral Research Associate in Statistics

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

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

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)

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.