Mathematics of Computation and Optimisation
Special Interest Group of the AustMS
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:
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
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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
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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
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
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).
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
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.
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!!!!!!!
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
Master’s program in Economic Analysis IDEA, at the Universidad Autònoma de Barcelona is available for the 2021-2022 academic year of scholarships from the Severo Ochoa program to fund the most outstanding applicants.
The IDEA master is a two-year program with a genuinely international vocation and committed to rigorous and quality training. The program is taught entirely in English.
The graduates of the program are highly appreciated in the labor market, both in national and international markets, and a significant number of them continue their training in our Doctorate in Economic Analysis as well as in prestigious national and international doctoral programs.
Complete information about our program is available on the Master’s degree website http://idea.uab.es/ .
December 17, 2020 marks the 85th anniversary of the birth of Rafail Fedorovich Gabasov, Professor, Doctor of Sciences, Honored scientist of the Republic of Belarus, world-renowned researcher in the field of optimization and optimal control (1935-2020).
R.F. Gabasov was one of the founders of the Faculty of Applied Mathematics (now the Faculty of Applied Mathematics and Computer Science) of the Belarusian State University and the Chair of Optimal Control Methods Department for many years (1967-2000). In 2000-2018 he was a professor of that department.
In memory of Rafail Fedorovich Gabasov Belarusian State University and the Institute of Mathematics of the National Academy of Sciences of Belarus are organizing the International Conference “Dynamical Systems: Stability, Control, Optimization” (DSSCO’21).
The conference will be held on October 5-10, 2021 in Minsk, Belarus, at the Belarusian State University.
For more information, please refer to
Web-page: http://conf.bsu.by/dssco_eng
Email: mou.fpmi@gmail.com
Secretary:
Vital Alsevich, tel.: +375(17)209-50-74, email: alsevichvv@mail.ru