Month: April 2020

PhD Stipend @ The University of Melbourne

Research topic: Nonmonotone Algorithms in Operator Splitting, Optimisation and Data Science

Brief outline: You will work with Dr Matthew Tam (University of Melbourne) as part of the ARC 2020 DECRA Project “Nonmonotone Algorithms in Operator Splitting, Optimisation and Data Science”. This project aims to develop the mathematical foundations for the analysis and development of optimisation algorithms used in data science.

Stipend amount: Approximately $31400 per annum.

Detailed description: This project aims to develop the mathematical foundations for the analysis and development of optimisation algorithms used in data science. Despite their now ubiquitous use, machine learning software packages routinely rely on a number of algorithms from mathematical optimisation which are not properly understood. By moving beyond the traditional realms of Fejér monotone algorithms, this project expects to develop the mathematical theory required to rigorously justify the use of such algorithms and thereby ensure the integrity of the decision tools they produce. This mathematical framework is also expected to produce new algorithms for optimisation

Eligibility criteria: Applicants must:

Application procedure: Interested applicants should send Dr Matthew Tam (firstname.lastname@unimelb.edu.au) a cover letter (with a statement of research interests and suitability for the position) and CV.

positions

One World Optimization Seminar

The website for the online seminar which has all the details is: https://owos.univie.ac.at. On this website you will find a tentative schedule for talks for the next weeks to come and some detailed instructions about the format of the seminar talks.

How to participate: Via zoom, a simple webinar tool for which only the host (University of Vienna in this case) needs a license and all other participants can log-in via a link that will be sent by e-mail together with the room password to the mailing list the day before each talk. Just click the link and fill in the password and you will be sent to the webinar room. There will be a host with control over the microphones.

Register for the OWOS Mailing List: You are kindly invited to join the mailing list by registering at  https://owos.univie.ac.at. After being registered you will automatically obtain information about the next speaker at the One World Optimization Seminar. The access information (link of the zoom-room and the corresponding password) are announced the day before each talk.

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MATRIX Online Seminars

MATRIX will be hosting a monthly online seminar series to combat ‘Coronavirus and work-from-home’ fatigue. We welcome your attendance. Register here (once only) for the Zoom link for the entire MATRIX seminar series.

May Seminar
Presenter: Professor James McCaw, The University of Melbourne
Topic: Contributions of mathematical modelling of infectious diseases to both preparedness and response James has been providing advice to the Australian Commonwealth Department of Health on the Coronavirus pandemic since late January 2020 and will discuss the contribution of mathematical modelling of infectious diseases to both preparedness and response.
Date & time: Friday, 1 May at 8:00 a.m. (AEST) (Melbourne time); Thursday, 30 April at 3:00 p.m. (PDT) (Los Angeles, USA time); Thursday, 30 April at 11:00 p.m. (GMT) (London, UK time)
Duration: 1 hour (45 minute presentation & 15 minutes question time)

Register once to receive the online Zoom link Once registered, you will be emailed the Zoom link 24 hours prior to the commencement of each seminar in the series.
[Please note: Registration will close 24 hours before the commencement of each online seminar, to allow MATRIX Office staff time to manage the distribution of the Zoom link to new and existing registrants].

Stay informed of future MATRIX online seminarsvia Web:https://www.matrix-inst.org.au/events-01/online-seminars/

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UNSW Seminar: Santiago Badia, Monash University

Title: Gridap: Grid-based PDE approximations in Julia
Speaker: Santiago Badia, Monash University
Date: Tue, 21/04/2020 – 11:00am
Venue: Zoom link: https://monash.zoom.us/j/579915360
Abstract: We present Gridap, a novel computational framework for the grid-based approximation of PDEs in the Julia programming language. The main motivation behind this library is to provide an easy-to-use framework for the development of complex PDE solvers in a flexible style, close to interpreted languages like Python, without sacrificing the performance of compiled languages. 

Further details: https://www.maths.unsw.edu.au/seminars/2020-04/gridap-grid-based-pde-approximations-julia

Seminars

UNSW Seminar: Lindon Roberts, ANU

Title: Derivative-free optimisation for least-squares problems
Speaker: Lindon Roberts, Australian National University
Date: Thu, 16/04/2020 – 11:05am
Venue: RC-4082, The Red Centre, UNSW (Request for remote connect via Zoom: a.schaeffer (at) unsw.edu.au)
Abstract: Least-squares problems (such as parameter estimation) are ubiquitous across quantitative disciplines. Optimisation algorithms for solving such problems are numerous and well-established. However, in cases where models are computationally expensive, black box, or noisy, classical algorithms can be impractical or even fail. Derivative-free optimisation (DFO) methods provide an alternative approach which can handle these settings. In this talk, Lindon will introduce a derivative-free version of the classical Gauss-Newton method, discuss its theoretical guarantees and software implementation, and describe applications of this technique to parameter estimation of global climate models and image reconstruction.

Seminars