Category: news

WOMBAT/WICO 2023 (joint Optimisation and Computational Mathematics Workshops)

This year, the regular workshops WOMBAT (annual Workshop on Optimisation, Metric Bounds, Approximation and Transversality) and WICO (biennial Workshop on the Intersections of Computation and Optimisation) will be combined. The joint workshop, covering areas of optimisation and computational mathematics, will be held from 11-15 December 2023 at the University of Sydney. The event will be entirely in-person.

Plenary speakers:

  • Andreas Ernst (Monash University)
  • Fatma Kılınç-Karzan (Carnegie Mellon University)
  • Andrea Raith (University of Auckland)
  • Ricardo Ruiz-Baier (Monash University)
  • Georg Stadler (New York University)

Registration is free to all participants and open until 31 October. Some travel support for students is available.

For more details (including the registration form), see the event website: https://wombat.mocao.org/

On behalf of the organising committee:

Mareike Dressler, Nam Ho-Nguyen, Quoc Le Gia, Dmytro Matsypura, Lindon Roberts

WOMBAT/WICO 2023 (joint Optimisation and Computational Mathematics Workshops)

This year, the regular workshops WOMBAT (annual Workshop on Optimisation, Metric Bounds, Approximation and Transversality) and WICO (biennial Workshop on the Intersections of Computation and Optimisation) will be combined. The joint workshop, covering areas of optimisation and computational mathematics, will be held from 11-15 December 2023 at the University of Sydney. The event will be entirely in-person.

Plenary speakers:

  • Andreas Ernst (Monash University)
  • Fatma Kılınç-Karzan (Carnegie Mellon University)
  • Andrea Raith (University of Auckland)
  • Ricardo Ruiz-Baier (Monash University)
  • Georg Stadler (New York University)

Registration is free to all participants and open until 31 October. Some travel support for students is available.

For more details (including the registration form), see the event website: https://wombat.mocao.org/

On behalf of the organising committee:

Mareike Dressler, Nam Ho-Nguyen, Quoc Le Gia, Dmytro Matsypura, Lindon Roberts

events, news

MoCaO Lectures: 2023: Polynomial optimisation – First Announcement

 July 3-7, 2023, 5-6pm AEST (GMT+10) each day

This series of lectures will introduce polynomial optimisation and decision problems, what they can model, how they can be attacked using tools from convex optimisation. The lectures will be illustrated, throughout, with a range of concrete 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.

Summary: Optimisation and decision problems where the objective function and the constraints can be formulated using multivariate polynomials can model a very wide range of problems from areas as diverse as dynamical systems and control, probability and statistics, quantum information, and combinatorial optimisation. Such problems, while very expressive, are generally difficult to solve. Despite this, systematic and powerful methods based on tools from convex optimisation and convex geometry have been developed to globally approximate these challenging problems.  
MoCaO Lectures 2023:
James Saunderson (Monash University, ARC Discovery Early Career Research Fellow)
Georgina Hall (INSEAD)
Mareike Dressler (UNSW, Sydney)

Biographies:
James Saunderson (MoCaO lecturer 2023) is a Lecturer and ARC DECRA fellow in the Department of Electrical and Computer Systems Engineering at Monash University. He received a PhD in Electrical Engineering and Computer Science from MIT in 2015, and held postdoctoral positions at Caltech and the University of Washington before joining Monash. In 2020 he was the recipient (with Hamza Fawzi and Pablo Parrilo) of the SIAM activity group on optimization best paper prize in 2020.

Georgina Hall is an Assistant Professor at INSEAD in the Decision Sciences area. She received a PhD in Operations Research and Financial Engineering at Princeton University in 2018, where she was also a Gordon Y. S. Wu fellow. Before joining INSEAD, she held a postdoctoral position in the DYOGENE team at INRIA. Georgina was the recipient of the 2016 INFORMS Computing Society Best Student Paper Award, the 2018 INFORMS Optimization Society Young Researchers’ Prize, and the 2020 Information Theory Society Paper Award.

Mareike Dressler is a Lecturer in the School of Mathematics and Statistics at the University of New South Wales (UNSW Sydney). She received a PhD at the Goethe-Universität in Frankfurt am Main in 2018. Before joining UNSW she held postdoctoral positions at Brown University in the Institute for Computational and Experimental Research in Mathematics (ICERM), at the University of California, San Diego (UCSD), and at the Max Planck Institute for Mathematics in the Sciences (MPI MiS) in Leipzig. In 2023, Mareike was awarded a Simons Visiting Professorship by the Simons Foundation.

We encourage participants to register using the google form the bottom of the webpage (so you may receive the zoom details)

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.

Registration via GoogleForms.

Alternatively, you can copy and paste the URL: https://forms.gle/hdUTzcBZqTuoVHLUA

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Positions at the University of Melbourne and corrections to the previous post

Dear colleagues and friends, the positions mentioned in my previous post are advertised by the University of Melbourne (not RMIT). I am very sorry for the inconveniences. The positions are as follows.

Position
Number		Position NameAds Close
0059242Associate Professor/Professor in Applied Mathematics (continuing) https://jobs.unimelb.edu.au/en/job/912527/associate-professor-professor-in-applied-mathematics16 June 2023
0059243Associate Professor/Professor in Mathematics/Statistics (continuing)
https://jobs.unimelb.edu.au/en/job/912530/associate-professor-professor-in-mathematics-statistics		16 June 2023
0059245Associate Professor/Professor in Statistical Data Science (continuing) https://jobs.unimelb.edu.au/en/job/912531/associate-professor-professor-in-statistical-data-science16 June 2023
 
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The PhD Scholarship in Mathematical Optimization at the University of Sydney

The PhD Scholarship in Mathematical Optimization at the University of Sydney will support an outstanding research student to undertake doctoral studies in mathematical optimization.

Potential research topics will be on mathematical optimization broadly defined, including theory and algorithms for optimization, stochastic programming, robust/distributionally robust optimization and data-driven optimization, with applications to machine learning, statistics, finance and economics.

The scholarship includes a living allowance of $37,207 AUD per annum and tuition for up to 3.5 years, with the possibility of a six-month extension subject to approval.

The scholarship recipient will join the Discipline of Business Analytics at the University of Sydney. The Discipline brings together researchers in the fields of optimization, operations management, statistics, machine learning and econometrics. It is particularly suited for students with interests at the intersection of two or more of these fields.

Applicants are expected to have a Masters by research or Honours undergraduate degree. We invite applicants to send the following material via email to Dr Nam Ho-Nguyen (nam.ho-nguyen@sydney.edu.au):

  • An up-to-date CV/resume, including contact details of two academic referees. We will notify applicants if we decide to contact referees.
  • Copies of academic transcripts.
  • (Optional) A short (2 page maximum) statement of purpose.
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Research Fellow in Optimisation at UniMelb

  • Role type: Full-time/Fixed-term for 2 years
  • Faculty: Faculty of Science
  • Department/School: School of Mathematics and Statistics
  • Salary: Level A – $97,558 – $104,717 p.a. (PhD entry-level $97,558) p.a. plus 17% super
  • Applications close: 27 Mar 2023 11:55 PM AUS Eastern Daylight Time

Description: A two year fixed-term research fellow position is available in the School of Mathematics and Statistics at the University of Melbourne as part of the he Australian Research Council (ARC) funded research program Distributed Optimisation without Central Coordination (funded under the Discovery Program). Candidates with expertise in at least one of the following area are sought after: continuous optimisation, distributed optimisation, monotone operator splitting, nonsmooth and variational analysis, federated learning or a related area.

Link: https://jobs.unimelb.edu.au/en/job/911748/research-fellow-in-optimisation

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9TH WORKSHOP ON HIGH-DIMENSIONAL APPROXIMATION (HDA2023)

The High-Dimensional Approximation (HDA) Workshop is a series of biennial international meetings covering current research on high-dimensional problems. This ninth workshop (HDA2023) will be held at ANU in Canberra.

HDA2023 will cover a range of topics central to modern high-dimensional approximation and their applications. Topics include, but are not limited to,

  • Nonlinear approximation
  • Numerical integration
  • Tensor decomposition
  • Sparsity-exploiting approximation
  • Sparse grid methods
  • Quasi-Monte Carlo methods
  • Polynomial chaos expansions
  • Discrepancy and dispersion theory
  • Dimensionality reduction
  • Uncertainty quantification
  • Reduced modelling
  • Inverse problems

More details: 9th Workshop on High-Dimensional Approximation (HDA2023) | ANU Mathematical Sciences Institute

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Lecturer, Statistics and Cyber Security RMIT University

  • An opportunity now exists to join RMIT’s School of Science and contribute to the teaching and research growth within the Mathematical Sciences Discipline, and specifically within the fields of statistics and cyber security
  • 1 x Full time, ongoing appointment based in the City campus
  • Remuneration at Academic Level B ($102,474 – $121,690)

For further information about this position, please see Position Description link below or contact Professor Andrew Eberhard, Assistant AD – Mathematical Science at andy.eberhard@rmit.edu.au or Professor Asha Rao, Associate Dean – Mathematical Sciences at asha.rao@rmit.edu.au.

https://www.rmit.edu.au/content/dam/rmit/au/en/careers/position-descriptions/lecturer-statistics-and-cybersecurity.pdf

To Apply 

Please submit your CV, cover letter and separately address the Key Selection Criteria for this position by clicking on the ‘Apply’ link below for an RMIT External applicant:

https://rmit.wd3.myworkdayjobs.com/en-US/RMIT_Careers/job/Melbourne/Lecturer–Statistics-and-Cyber-Security_JR18084

Candidates are asked to specify level of the appointment they are applying for in the cover letter.

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The University of Sydney: Lecturer (B) /Senior Lecturer (C)

The University of Sydney is welcoming applications for a Lecturer (B) /Senior Lecturer (C) in Applied Mathematics to join leading experts at the School of Mathematics and Statistics, within the Faculty of Science. We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia assessment to date.

We are welcoming applicants from different research backgrounds who can bring their own research agenda, complementing the Schools’ current research foci, whilst benefiting from our supportive community of world-class mathematicians and statisticians. Applicants with expertise in computational mathematics or optimization are particularly encouraged to apply.

Applications close January 12, 2023 (AEDT)

Apply here: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Lecturer-Senior-Lecturer-in-Applied-Mathematics_0098923-2

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