WOMBAT 2021 (December, 13-17)

The Workshop on Optimisation, Metric Bounds, Approximation and Transversality will be held online on 13–17 December 2021.

Confirmed Keynotes: Regina Burachik, Joydeep Dutta, Russell Luke, Javier Peña and Stephen Wright.

Registration and more info: https://t.co/PaElodJLpf

email: nsukhorukova@swin.edu.au

Research Fellow, Decision Analytics at Deakin

The School of Information Technology at Deakin delivers courses in information technology, computer science, data analytics, cyber security and software engineering to provide our graduates with a sound platform for the diverse employment opportunities that will exist in the future.

The Research Fellow, Decision Analytics will be responsible for researching, publishing and contributing to the research project in computational methodologies for complex and uncertain, multi-criteria, multi-objective combinatorial optimization problems.

This is a great opportunity to gain excellent research training and hands-on industry experience through working collaboratively and closely with academic collaborators and industry partners.

https://careers.pageuppeople.com/949/cw/en/job/511749/research-fellow-decision-analytics

McKenzie Postdoctoral Fellowships Program

The McKenzie Postdoctoral Fellowships Program is a University of Melbourne scheme. The fellowship funds a three year appointment commencing at Level A.6 in the University salary band plus superannuation. Fellows will receive an additional $25,000 to be spent on project costs over the term of their Fellowship. 

The EOI deadline is July 5th 2021, and the full application deadline is August 23rd 2021.  
Further details:

https://sites.research.unimelb.edu.au/research-funding/researcher-development-schemes/mckenzie-fellowship

NSW ANZIAM 2021 Mid-year Conference

Friday 9th July

The New South Wales branch of ANZIAM will hold a one-day virtual conference on Friday 9th July.  A Zoom link will be sent at a later date.

The conference will run from approximately 10am to 5.30pm (depending upon the number of speakers).

This meeting features the 2020 winner of WIMSIG Maryam Mirzakhani Award, Dr Hoa Bui (Curtin) as the invited speaker: https://www.maintenance.org.au/users/viewuserprofile.action?username=hoa.bui. Title: Optimisation Methods for Maintenance Scheduling in the Mining Industry.

There is no registration fee.

If you would like to give a presentation or are planning on attending please contact Dr Xiaoping Lu (xplu@uow.edu.au) by 30 June, and abstracts/titles of presentations should

be send to Xiaoping by Tuesday 6 July.

Election of Speakers

———————

ECRs and students are strongly encouraged to attend and present at the meeting.

In the fortunate event that we are over-subscribed with speakers, priority will be given to students and ECR, with preference given to NSW ANZIAM members. For established researchers, preference will again be given to NSW ANZIAM members.

Student prize

A prize in the value of $100, will be awarded to the best student presentation.

Organisers

———-

Dr Xiaoping Lu,

Centre for Financial Mathematics,

School of Mathematics and Applied Statistics,

University of Wollongong

A/P Mark Nelson

Centre for Multidisciplinary Mathematical Modelling,

School of Mathematics and Applied Statistics,

University of Wollongong

OPTIMA Postdoctoral Research Fellows (A or B) fixed term 3 years (full time or part-time) at the University of Melbourne

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.
For more details, please refer to
http://jobs.unimelb.edu.au/caw/en/job/904801/optima-postdoctoral-research-fellow

Workshop on the Intersections of Computation and Optimisations

Workshop on the Intersections of Computation and Optimisations

https://www.mocao.org/WICO

MoCaO (Mathematics of Computation and Optimisation) is planning a new workshop for late 2021 which is sponsored by the ANU, UNSW and AMSI.

This workshop intends to bring together researchers from the areas of computation, optimisation, computing sciences and engineering interested in the cross- fertilization of ideas around the following theme:

 Optimisation often faces unique issues when there is a need to efficiently compute. On the other hand, computational techniques at times utilise optimisation within their algorithms. Both areas fundamentally need to understand approximation in all its facets which is also fundamental to computation as are the associated notions of convergence. Indeed, recent research has blurred the boundaries between optimisation (continuous and discrete), computation and areas of computing science. The area of machine learning has crept into relevance everywhere. Recently research has turned to its use in computational techniques including the enhancement of optimisation algorithms and the cycle of cross fertilisation of ideas has continued to date.

Workshop Format

We intend to run the workshop in a blended format, involving a face to face component which will be held at the ANU mathematics school in conjunction with a simultaneous\parallel online format to which both group of participants will engage. Some keynotes will present in person (streamed online from ANU) and other will engage totally online in a remote format. We encourage local and international participants to take part in the online workshop. In addition to their keynote presentations, keynotes who will be invited to give a lectorial-discussion session that will promote research questions and engage emerging researchers in these areas.

Keynotes Speakers:

Prof Gerlind Plonka-Hoch (University of Goettingen, Germany)

Prof. Frances Kuo (UNSW)

Prof Stefan Wild (Argonne, USA)

Prof Stephen Wright (Wisconsin, USA) 

Prof. Ian Turner (QUT)

Prof. Claudia Sagastizabal (IMECC-Unicamp and CEMEAI, Brazil)

Prof Martin Berggren (Umeå University, Sweden)

Important dates:

Registration Opens: 07/06/2021

Workshop Dates: 22/11/2021 to 25/11/2021

Local Organising Committee

Prof. Andrew Eberhard (RMIT) andy.eberhard@rmit.edu.au

Prof. Stephen Roberts (ANU) stephen.roberts@anu.edu.au

Prof. Markus Hegland (ANU) markus.hegland@anu.edu.au

Dr. Matthew Tam (UniMelb) matthew.tam@unimelb.edu.au

Dr. Nadia Sukhorukova (Swinburne) nsukhorukova@swin.edu.au

Future Announcements and Grants:

We intend to follow up with regular announcements regarding workshop accommodation, details on format and software and funding opportunities for ECR, PHD and female participants. We also wish to draw female participants attention to the possibility of applying for the WIMSIG Cheryl E. Praeger Travel Award (support for attending conferences/visiting collaborators) and/or the WIMSIG Anne Penfold Street Awards (support for careering responsible while attending conferences/visiting collaborators).

Postdoctoral Fellow – Mathematical Optimization

The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Discovery Project titled “Data-driven multistage robust optimization”. The primary research goals are to make a major contribution to the understanding of optimization in the face of data uncertainty and to develop mathematical principles for broad classes of multi-stage robust optimization problems, to design associated data-driven numerical methods to find solutions to these problems, and to provide an advanced optimization framework to solve a wide range of real-life optimization models of multi-stage technical decision-making under uncertain environments.

For more information, please refer to

https://external-careers.jobs.unsw.edu.au/cw/en/job/501990/postdoctoral-fellow-mathematical-optimization

Postdoc position and PhD position: Optimization for Machine Learning (Linköping Univ)

Postdoc position Optimization for Machine Learning (Linköping Univ)
The department of Mathematics at Linkoping University seeks applications for a Postdoc position in the area of mathematical optimization theory with the aim of developing new techniques for machine learning. The position is for 2 years.

The doctoral student will be supervised by Dr. Oleg Burdakov and Dr. Yura Malitsky  

The application deadline is May 21, 2021.  

The full job ad: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16145&rmlang=UK

PhD student in Optimization for Machine Learning (Linköping Univ)
The department of Mathematics at Linkoping University seeks applications for a PhD student position in the area of mathematical optimization theory with the aim of developing new techniques for machine learning. The position is for 4 years without teaching or 5 years with teaching. 

The doctoral student will be supervised by Dr. Oleg Burdakov and
Dr. Yura Malitsky 

The application deadline is May 7, 2021. 

Congratulations! Vera Roshchina (UNSW) has been awarded the 2021 Christopher Heyde Medal

Dear MoCaO members.

I would like to share an exciting news: Dr. Vera Roshchina (UNSW) has been awarded the 2021 Christopher Heyde Medal:

https://www.science.org.au/supporting-science/awards-and-opportunities/honorific-awardees/2021-awardees#heyde

The award’s purpose is to recognise outstanding research in the mathematical sciences by researchers up to 10 years post PhD. Vera is an excellent mathematician, active MoCaO member and a great person to work with.

Congratulations, Vera!!!!!!!

Positions Available at UNSW: Applied Maths, Pure Maths & Data Science


Five positions are currently available in the School of Mathematics and Statistics. Please see the position descriptions below, for:

Please apply for these positions via Jobs@UNSW

For more information, please refer to:

https://www.maths.unsw.edu.au/news/2021-02/positions-available

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