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

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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

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!!!!!!!

LION15: The 15th Learning and Intelligent Optimization Conference, Athens, Greece, June 20-25, 2021

LION15: The 15th Learning and Intelligent Optimization Conference
Athens, Greece, June 20-25, 2021
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Conference website https://lion15.sba-research.org/index.html
Submission link https://easychair.org/conferences/?conf=lion15
Extended Submission deadline March 15, 2021

The large variety of heuristic algorithms for hard optimization problems raises numerous interesting and challenging issues. Practitioners using heuristic algorithms for hard optimization problems are confronted with the burden of selecting the most appropriate method, in many cases through expensive algorithm configuration and parameter tuning. Scientists seek theoretical insights and demand a sound experimental methodology for evaluating algorithms and assessing strengths and weaknesses. This effort requires a clear separation between the algorithm and the experimenter, who, in too many cases, is “in the loop” as a motivated intelligent learning component. LION deals with designing and engineering ways of “learning” about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.

This meeting explores the intersections and uncharted territories between machine learning, artificial intelligence, energy, mathematical programming and algorithms for hard optimization problems. The main purpose of the event is to bring together experts from these areas to discuss new ideas and methods, challenges and opportunities in various application areas, general trends and specific developments. We are excited to be bringing the LION conference in Greece for the third time.

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

Master’s program in Economic Analysis IDEA, at the Universidad Autònoma de Barcelona

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/ .

International Conference “DYNAMICAL SYSTEMS: STABILITY, CONTROL, OPTIMIZATION” (DSSCO’21) in memory of Professor R.F. Gabasov (October 5-10, 2021, Minsk)

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

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