Positions: RMIT’s School of Science. Applications close on Wednesday, 16th of February 2022

  • RMIT’s School of Science: contribute to the teaching and research growth within the Mathematical Sciences Discipline, in the School of Science and specifically within the fields of statistics and analytics.
  • 1 x Full time, ongoing appointment based in the City campus
  • Applications close on Wednesday, 16th of February 2022

About the Role

As a Statistics and Analytics Lecturer/Senior Lecturer, you will contribute to the School’s research efforts by producing high quality research publications, submitting competitive grant applications, and supervising research students in postgraduate research programs. In this role, you will maintain and advance your scholarly research and professional capabilities relevant to this discipline and actively promote the discipline by establishing and sustaining links with academic, industry, and professional communities. The expected roles the applicant could engage in are broad in scope, but we encourage applicants to apply if they have an interested further developing and\or have research experience within the areas of machine learning and\or data mining.

For more information, go to RMIT External website

Sofia Kovalevskaya

Kovalevskaya grants for Early Career Researchers to attend the upcoming the International Congress of Mathematicians (ICM) in Saint Petersburg

The Australian Mathematical Society is calling for applications to the Kovalevskaya grants scheme.


Kovalevskaya grants are aimed at early career mathematicians to support their attendance at the International Congress of Mathematicians, to be held in Saint Petersburg on 6-14 July, 2022.


Upon submission of receipts, each successful applicant will receive an amount of $1,500, to be used towards travel to and from Saint Petersburg. Additionally, the local organisers will waive registration fees, provide meals and accommodation in Saint-Petersburg for the duration of the congress, cover local transportation costs, and arrange for visa-free entrance into Russia.

For more information please refer to this file

PhD Scholarship at UniSA

Applications close 17th January.

A recent Australian Renewable Energy Agency funded project on improving the short-term forecasting capability for solar farms found that the economic benefit of the forecasting was independent of the forecast skill. This motivates research into exactly what is the value proposition for solar and wind farm forecasting, and how does one design the process for maximising value. You will be part of an international team examining this topic. This project will provide you with international and national research and industry contacts, an expert knowledge of electricity markets, and invaluable industrial mathematics skills. The team is led by Professor John Boland of UniSA, and includes Dr Merlinde Kay of UNSW, and Professors Philippe Lauret and Mathieu Davide of Universite de La Reunion, France.

For more information:

https://www.unisa.edu.au/research/degrees/research-projects/#value-of-renewable-energy-forecasts

Alex Rubinov Memorial Oration 2021: please register


Alzheimer’s Disease:
New Approach for Early Indication by Voxel-(C)MARS –
Optimization and Operational Research in Big-Data of us Humans
Professor Gerhard-Wilhelm Weber

7:00 pm Thursday 9 December
via MS Teams
Each year a public oration is held to commemorate the life of Professor Alexander Rubinov and to celebrate his contribution to Federation University as founding Director of the Centre for Informatics and Applied Optimisation.


Click here to more details and registration instructions.

Please note that you have to register.

VA & Opt Webinar: David Yost

Title: Minimising the number of faces of a class of polytopes

Speaker: David Yost (Federation University Australia)

Date and Time: Wed Dec 1, 17:00 AEST (Register here for remote connection via Zoom)

Abstract:

Polytopes are the natural domains of many optimisation problems. We consider a “higher order” optimisation problem, whose domain is a class of polytopes, asking what is the minimum number of faces (of a given dimension) for this class, and which polytopes are the minimisers. Generally we consider the class of d-dimensional polytopes with V vertices, for fixed V and d. The corresponding maximisation problem was solved decades ago, but serious progress on the minimisation question has only been made in recent years auxiliary information will be provided.

VA & Opt Webinar: Fred Roosta-Khorasani

Title: A Newton-MR Algorithm with Complexity Guarantee for Non-Convex Problemsverting exhausters and coexhausters

Speaker: Fred Roosta-Khorasani (The University of Queensland)

Date and Time: Wed Dec 1, 11:00 AEST (Register here for remote connection via Zoom)

Abstract:

Classically, the conjugate gradient (CG) method has been the dominant solver in most inexact Newton-type methods for unconstrained optimization. In this talk, we consider replacing CG with the minimum residual method (MINRES), which is often used for symmetric but possibly indefinite linear systems. We show that MINRES has an inherent ability to detect negative-curvature directions. Equipped with this advantage, we discuss algorithms, under the general name of Newton-MR, which can be used for optimization of general non-convex objectives, and that come with favourable complexity guarantees. We also give numerical examples demonstrating the performance of these methods for large-scale non-convex machine learning problems.

Open position as Researcher in Optimization at KTH, Sweden.

The project is focusing on Optimization for Smart and Sustainable Power Systems.

We are searching for a Researcher in Optimization for a project on Optimization for Smart and Sustainable Power Systems. The project is a collaboration between the departments of Mathematics and Electrical Engineering. The project requires a PhD degree in a suitable field!

It’s a great opportunity to develop and apply advanced optimization techniques to important and challenging real-world applications, and to develop smart energy solutions.

More information and how to apply:

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:452068

Four positions in mathematics that are now on the UniSA website

Applications close at 11:30pm on Monday 6 December, with interviews the week of Monday 13 December.

3 x continuing Teaching Research Lecturers (Academic Level B) in one or more of applied statistics, applied optimisation, classical applied mathematical modelling.

More here

1 x 12-month Teaching Focussed Lecturer (Academic Level A or B). Note that Level As don’t need a PhD to apply.

More here

VA & Opt Webinar: Majid Abbasov

Title: Converting exhausters and coexhausters

Speaker: Majid Abbasov (Saint-Petersburg State University)

Date and Time: Wed Nov 17, 17:00 AEST (Register here for remote connection via Zoom)

Abstract:

Exhausters and coexhausters are notions of constructive nonsmooth analysis which are used to study extremal properties of functions. An upper exhauster (coexhauster) is used to get an approximation of a considered function in the neighborhood of a point in the form of minmax of linear (affine) functions. A lower exhauster (coexhauster) is used to represent the approximation in the form of maxmin of linear (affine) functions. Conditions for a minimum in a most simple way are expressed by means of upper exhausters and coexhausters, while conditions for a maximum are described in terms of lower exhausters and coexhausters. Thus the problem of obtaining an upper exhauster or coexhauster when the lower one is given and vice verse arises. In the talk I will consider this problem and present new method for such a . Also all needed auxiliary information will be provided.

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