Job no: 0051226

Work type: Fixed Term

Location: Parkville

Division/Faculty: Faculty of Science

Department/School: School of Mathematics and Statistics

Role & Superannuation rate: Academic – Full time – 9.5% super

Salary: Level A: $73,669 – $99,964 p.a (PhD entry level $93,120) or Level B: $105,232 – $124,958 p.. Level of appointment is subject to applicants’ qualifications and experience. 

The School of Mathematics and Statistics at the University of Melbourne has four two-year research positions available for exceptional early career researchers in the mathematical sciences, whose research has the potential to have a significant impact, either in fundamental research or toward practical applications. The School maintains activity in all areas of the mathematical sciences, and the positions can be related to any area.

For more details please refer to

http://jobs.unimelb.edu.au/caw/en/job/903384/postdoctoral-research-fellow-4-positions

ARC PhD Scholarship ($31,885pa): Switching Dynamics Approach for Distributed Global Optimisation

https://www.rmit.edu.au/students/student-essentials/information-for/research-candidates/enriching-your-candidature/grants-and-scholarships/postgraduate-by-research/switching-dynamics-approach-distributed-global-optimisation

Fast growing big-data in industrial systems makes finding optimal solutions for timely decision making more difficult. This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in big-data environments, hence resulting in a practical technology for industry applications (e.g. smart grids).

The specific objectives of this Project are:

1. Establish a switching dynamics approach for global optimisation, forming the foundation to accelerate convergence to search for optimal solutions.

2. Create an intelligent distributed global optimisation scheme with switching dynamics based multi-agent system concepts, which is scalable to big-data optimisation tasks.

This is a project funded by an Australian Research Council (ARC) Discovery Grant for three years (2021-2023), which aims to develop a breakthrough switching dynamics approach and new technology for global optimisation tasks in big-data applications.

The successful applicant will work on this project for the PhD in the School of Science at RMIT University supervised by Prof. Andrew Eberhard and carried out in collaboration with Prof. Xinghuo Yu (Electrical Engineering) at RMIT.

Qualifications

You are required to have a Bachelor degree in a relevant discipline such as Mathematical Sciences or Electrical Engineering with at least 2nd class upper honours or equivalent.  Experience in one or more areas in Nonlinear Dynamical Systems, Discontinuous Control Systems, Optimisation theory and\or Optimisation Algorithms is desirable. The applicant must have a strong background in mathematics.

Application

A CV detailing your qualifications, research experience and achievements, a statement of your suitability to this project, and contact details of two referees are to be emailed to Professor Andrew Eberhard at andy.eberhard@rmit.edu.au.  For further information, please contact Prof. Andrew Eberhard directly.

Call for Postdocs 2020

The Euler International Mathematical Institute in St. Petersburg is seeking postdocs in all areas of Mathematics, Theoretical Computer Science, Mathematical and Theoretical Physics.

Applicants should send their applications to euler.postdoc@gmail.com

The applications should include:

• CV,
• List of publications (including preprints, if necessary),
• Description of research interests, ideally mentioning possible host or other research contacts in St.Petersburg,
• Names, affiliations and contacts of 2-3 people willing to send recommendation letters if asked by the committee,
• Any special requirements wrt the dates, etc.

Basic conditions:

• Competitive salary of 126,314 RUB per month (taxed at 13% for residents and foreigners), this is double the average salary in St. Petersburg,
• Housing allowance enough to cover all or most of the rent (in addition to the salary),
• The institute partially covers travelling expenses to St. Petersburg of up to 300 Euro for the postdocs from Europe and up to 600 Euro for the postdocs outside Europe,
• The institute has some funds for covering participation in conferences that cannot be covered from other sources,
• 1 or 2 years extendable for another year,
• Small teaching load,
• Flexibility with respect to the starting date, length, specific calendar requirements (such as a leave in the middle),

St. Petersburg is the most beautiful city in the world and has multiple mathematical locations including Steklov Institute of Mathematics http://www.pdmi.ras.ru/pdmi/en/laboratories and the newly created Department of Mathematics and Computer Science in St. Petersburg State University http://math-cs.spbu.ru/en/people/ (the links are provided also as a “menu” of possible hosts).

The preference is given to applications completed before November 30, 2020. Preferable starting date is September 1, 2021.

If you have questions, please do not hesitate to ask them by email.

Objective:
In an effort to promote interaction between researchers in Computational Mathematics and Optimization we plan a collection of articles in ACOM whose topics span both research fields.

The submissions should be done via ACOM submission system:

https://www.springer.com/journal/10444/updates/18256258

Guest Editors:
Jerome Droniou (Monash University, Melbourne, Australia)
Andrew Eberhard (RMIT, Melbourne, Australia)
Guoyin Li (University of New South Wales, Sydney, Australia)
Russell Luke (University of Goettingen, Germany)
Thanh Tran (University of New South Wales, Sydney, Australia)

The board is chaired by Thanh Tran.

Submission deadline: July 31, 2021.

Research Associate/Fellow – Optimisation, Optimal Control or Operations Research

• Academic
• Perth, Western Australia
• Full Time

3 years fixed-term

As a research associate/fellow, you will work as part of an existing research group to advance the school’s research agenda in optimisation, optimal control, and operations research.

For more information please visit:

http://staff.curtin.edu.au/job-vacancies/?ja-job=140126

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.

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/

The 20th Biennial Computational Techniques and Applications Conference (CTAC2020) will be held at UNSW Sydney from 30 August to 2 September, 2020.

Our aim is to conduct a high-quality conference on computational mathematics; scientific, technical and industrial applications; and high-performance computing.

Invited Speakers:

• Konstantin Brenner (University of Nice Sophia-Antipolis, France)
• Michael Feischl (TU Vienna, Austria)
• David Harvey (UNSW, Sydney, Australia)
• Trevor McDougall (UNSW, Sydney, Australia)
• Kate Smith-Miles (University of Melbourne, Australia)
• Catherine Powell (University of Manchester, UK)
• Aretha Teckentrup (University of Edinburgh, UK)
• Alex Townsend (Cornell University, USA)

The special themes for the meeting will include:

• Computational fluid dynamics
• Data assimilation
• Optimisation
• Inverse problems
• Data science
• Uncertainty quantification

CTAC is organised by the special interest group in computational techniques and applications of ANZIAM, the Australian and New Zealand Industrial and Applied Mathematics Division of the Australian Mathematical Society. The meetings provide an interactive forum for researchers interested in the development and use of computational methods applied to engineering, scientific and other problems.

https://www.ctac2020.unsw.edu.au/