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

VA & Opt Webinar: Andrew Eberhard

Title: Bridges between Discrete and Continous Optimisation in Stochastic Programming

Speaker: Andrew Eberhard (RMIT University)

Date and Time: June 30th, 2021, 17:00 AEST (Register here for remote connection via Zoom)

Abstract: For many years there has been a divide between the theoretical under pinning of algorithmic analysis in discrete and continuous optimisation. As a case study, stochastic optimisation provides a classic example. Here the theoretical foundations of continuous stochastic optimisation lies in the theory of monotone operators, operator splitting and nonsmooth analysis, none of which appear to be applicable to discrete problems. In this talks we will discuss the application of ideas from continuous optimisation and variational analysis to the study of progressive hedging like methods for discrete optimisation models. The key to the success of such approaches is the acceptance of the existence of MIP and QMIP\ solvers that can be integrated in to analysis as “black box solvers” that return solutions within a broader algorithmic analysis. Here methods more familiar to continuous optimisers and nonsmooth analysts can be used to provide proofs of convergence of both primal and dual methods. Unlike continuous optimisation there still exists separate primal and dual methods and analysis in the discrete context. We will discuss this aspect and some convergent modifications that yield robust and effective versions of these methods, long with numerical validation of their effectiveness.

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

NSW ANZIAM 2021 Mid-year Conference

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. Title: Optimisation Methods for Maintenance Scheduling in the Mining Industry.

There is no registration fee.

Read more

VA & Opt Webinar: Adil Bagirov

Title: Nonsmooth DC optimization: recent developments

Speaker: Adil Bagirov (Federation University)

Date and Time: June 23rd, 2021, 17:00 AEST (Register here for remote connection via Zoom)

Abstract: In this talk we consider unconstrained optimization problems where the objective functions are represented as a difference of two convex (DC) functions. Various applications of DC optimization in machine learning are presented. We discuss two different approaches to design methods of nonsmooth DC optimization: an approach based on the extension of bundle methods and an approach based on the DCA (difference of convex algorithm). We also discuss numerical results obtained using these methods.

VA & Opt Webinar: Bruno F. Lourenço

Title: Error bounds, amenable cones and beyond

Speaker: Bruno F. Lourenço (Institute of Statistical Mathematics)

Date and Time: June 16th, 2021, 17:00 AEST (Register here for remote connection via Zoom)

Abstract: In this talk we present an overview of the theory of amenable cones, facial residual functions and their applications to error bounds for conic linear systems. A feature of our results is that no constraint qualifications are ever assumed, so they are applicable even to some problems with unfavourable theoretical properties. Time allowing, we will discuss some recent findings on the geometry of amenable cones and also some extensions for non-amenable cones.

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

Postdoctoral Fellow – Computational Mathematics

A position of Postdoctoral Fellow is available at UNSW Sydney. The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Discovery Project. For more details and to apply please visit https://external-careers.jobs.unsw.edu.au/cw/en/job/502136/postdoctoral-fellow-computational-mathematics.

For more information please contact Thong Le Gia qlegia@unsw.edu.au or Ian Sloan i.sloan@unsw.edu.au.

Applications close July 6th, 2021

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