Mathematics of Conformal Field Theory II (July 5–9)

The 2020 conference “The Mathematics of Conformal Field Theory II” was postponed due to the pandemic. We are happy to announce that it has now been approved to go ahead at the Mathematical Sciences Institute of the ANU from July 6-9. Furthermore, the conference will be preceded by a day of talks celebrating Peter Bouwknegt’s 60th birthday on July 5.

The majority of talks will be in-person at the ANU, following  appropriate COVID-safe protocols. These will be complemented by zoom talks from international speakers. The themes of the conference are  being interpreted broadly and will thus cover a wide range of topics connected to conformal field theory.

Confirmed speakers include:
– Arnaud Brothier (UNSW)
– Ilka Brunner (Ludwig-Maximilian University, Munich)
– Nora Ganter (Melbourne)
– Pinhas Grossman (UNSW)
– Yi-Zhi Huang (Rutgers University)
– Jock McOrist (New England)
– Alexander Molev (Sydney)
– Krzysztof Pilch (University of Southern California)
– Thomas Quella (Melbourne)
– Jorgen Rasmussen (Queensland)
– Anna Romanov (Sydney)
– Kareljan Schoutens (University of Amsterdam)
– Christoph Schweigert (University of Hamburg)
– Gabriele Tartaglino-Mazzucchelli (Queensland)
– Mathai Varghese (Adelaide)
– Siye Wu (National Tsing Hua University, Taiwan)

Registration for the conference and birthday celebration is now open at the following website:

https://maths.anu.edu.au/news-events/events/mathematics-conformal-field-theory-ii

We also invite abstracts for contributed talks and encourage researchers at all career stages to apply.

Please note that we will of course need to be flexible with our arrangements in case of any changes to the domestic COVID situation.

Community Petition Against University of Newcastle Job Cuts

The University of Newcastle has announced a major restructuring of the university that will affect hundreds of staff. If plans proceed unchanged, Mathematics and Statistics will be severely impacted with a large number of staff losing their position at the university. I call on all members of the Society to support their colleagues at Newcastle and sign the petition here.

S. Ole Warnaar, President of AustMS

Applications are now open for the 2021 AMSI Winter School

AMSI and QUT are proud to present the 2021 Winter School on Statistical Data Science from 12-23 July.

For the first time, the program will be hosted virtually with options for students to attend event hubs in selected states. Boasting an impressive speaker line-up, attendees can delve deeper into modules focusing on Bayesian statistics, modern neural networks, and advanced Markov chains and Monte Carlo methods.

This event is aimed at postgraduate students, early career researchers and industry professionals wanting to sharpen their skills.

Program details are here below:

Event: AMSI Winter School 2021

Dates: 12 – 23 July

Where: Virtual program, with selected event hubs for those who wish to meet face-to-face

Theme: Statistical Data Science, featuring modules on:

  • Bayesian Statistics
  • Advanced Markov Chain Monte Carlo Methods
  • Likelihood-free inference
  • Modern neural networks
  • Dimension reduction for high dimensional data

Website: https://ws.amsi.org.au/

Applications are now open and will close at 11.59pm on Sunday 20 June.

Scholarships are also available to AMSI Member students requiring financial assistance to cover program fees. To apply, go to https://ws.amsi.org.au/apply-for-a-scholarship/

For any further enquiries, please contact coordinator_rhed@amsi.org.au

If you are an academic and know of someone who may be interested in attending, we encourage you to forward this email and spread the word about the program.

Best wishes,

Anna Muscara
Project Coordinator, Research & Higher Education 

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.