Month: June 2022

Save the date: WOMBAT 2022

Save the dates! The next Workshop on Optimisation, Metric Bounds, Approximation and Transversality (WoMBaT2022) will be held 13–16 December 2022 in beautiful Perth, Western Australia. This iteration of wombat will be hosted at Curtin University by Curtin Centre for Optimisation and Decision Science. The event is expected to take place as an entirely in-person event. Registration will open and plenaries will be announced soon.

In addition, this year WOMBAT in collaboration with ARC Training Centre for Transforming Maintenance through Data Science, will host a special day (16th December 2022) focused on the applications of optimization on planning and scheduling maintenance in the resource industry. We are very excited for this special event!

Save the dates! We look forward to welcoming you to Perth!

On behalf of the local organizing committee

Dr. Hoa T. Bui, Curtin Centre for Optimisation and Decision Science
Dr. Scott B. Lindstrom, Curtin Centre for Optimisation and Decision Science

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MoCaO Lectures: Data Science – Second Announcement

July 11-15, 2022

The MoCaO Lectures in Computation and Optimisation for 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and applications. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as PhD students, postdoc and/or inquisitive academics who wish to have a better understanding of recent advances in this dynamic field. These lectures will be given online via Zoom. Please read the notice below regarding the registration.


Speakers:

Prof. Stephen Wright: is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world-renowned expert in optimization and the author of several highly cited books in this field.

Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.

Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.


Dates:
The 11th , 12th and 13th of July 12noon-1pm: Speaker Prof Stephen Wright
The 14th July 12noon-1pm: Speaker Dr. Quoc Thong Le Gia
The 15th July 12.30pm-2pm: Prof. Guoyin Li


IMPORTANT: Website and Registration:
Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. We encourage those who have already registered to reregister using the new google form the bottom of the webpage (so you may receive the zoom details)


MoCaO Lectures:  Data Science – Mathematics of Computation and Optimisation


We apologies for any inconvenience this issue may cause. If you have any enquiries, please send an email to MoCaO@austms.org.au. Please check the website prior to the lectures for last minute information or announcements.

events, Seminars

MoCaO Lectures:  Data Science


Attention: Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. We encourage those who have already registered to re-register using the new google form. We apologies for any inconvenience. If you have any enquiries please send an email to MoCaO@austms.org.au. Please check the website prior to the lectures for last minute information or announcements.

 July 11-15, 2022

 We are pleased to announce the inaugural MoCaO Lectures in Computation and Optimisation. For 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and applications. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as PhD students, postdoc and/or inquisitive academics who wish to have a better understanding of recent advances in this dynamic field.

Speakers:

Prof. Stephen Wright:  is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world renowned expert in optimization and the author of several highly cited books in this field.

Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.

Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.

For more information and registration, got to

MoCaO Lectures:  Data Science – Mathematics of Computation and Optimisation

events

Research Fellow in Last Mile Van Delivery (UniMelb)

Applications close: 29 Jun 2022 11:55 PM AUS Eastern Standard Time
Role type: Full time; Fixed-term until December 2024
Faculty: Faculty of Engineering and Information Technology
Department/School: School of Electrical, Mechanical, and Infrastructure Engineering
Salary: Level A– $77,171 – $104,717  p.a. plus 17% super

About this role: As the Research Fellow, you will be a part of integrating a variety of transport modes to ensure that they are efficient and safe within contemporary parcel distribution networks. This project will develop procedures for designing delivery routes involving a combination of van and walking tours. In this role, you will develop automated techniques for identifying areas for van and walking routes using spatial analysis and modelling tools. 

Link to the details: https://jobs.unimelb.edu.au/caw/en/job/909097?lApplicationSubSourceID=

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