Category: positions

Postdoctoral Fellow – Computational Mathematics

A position of Postdoctoral Fellow is available at UNSW Sydney. The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Discovery Project. For more details and to apply please visit https://external-careers.jobs.unsw.edu.au/cw/en/job/502136/postdoctoral-fellow-computational-mathematics.

For more information please contact Thong Le Gia qlegia@unsw.edu.au or Ian Sloan i.sloan@unsw.edu.au.

Applications close July 6th, 2021

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Postdoctoral Fellow – Mathematical Optimization

The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Discovery Project titled “Data-driven multistage robust optimization”. The primary research goals are to make a major contribution to the understanding of optimization in the face of data uncertainty and to develop mathematical principles for broad classes of multi-stage robust optimization problems, to design associated data-driven numerical methods to find solutions to these problems, and to provide an advanced optimization framework to solve a wide range of real-life optimization models of multi-stage technical decision-making under uncertain environments.

For more information, please refer to

https://external-careers.jobs.unsw.edu.au/cw/en/job/501990/postdoctoral-fellow-mathematical-optimization

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Postdoc position and PhD position: Optimization for Machine Learning (Linköping Univ)

Postdoc position Optimization for Machine Learning (Linköping Univ)
The department of Mathematics at Linkoping University seeks applications for a Postdoc position in the area of mathematical optimization theory with the aim of developing new techniques for machine learning. The position is for 2 years.

The doctoral student will be supervised by Dr. Oleg Burdakov and Dr. Yura Malitsky  

The application deadline is May 21, 2021.  

The full job ad: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16145&rmlang=UK

PhD student in Optimization for Machine Learning (Linköping Univ)
The department of Mathematics at Linkoping University seeks applications for a PhD student position in the area of mathematical optimization theory with the aim of developing new techniques for machine learning. The position is for 4 years without teaching or 5 years with teaching. 

The doctoral student will be supervised by Dr. Oleg Burdakov and
Dr. Yura Malitsky 

The application deadline is May 7, 2021. 

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Positions Available at UNSW: Applied Maths, Pure Maths & Data Science


Five positions are currently available in the School of Mathematics and Statistics. Please see the position descriptions below, for:

Please apply for these positions via Jobs@UNSW. 

For more information, please refer to:

https://www.maths.unsw.edu.au/news/2021-02/positions-available

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Master’s program in Economic Analysis IDEA, at the Universidad Autònoma de Barcelona

Master’s program in Economic Analysis IDEA, at the Universidad Autònoma de Barcelona is available for the 2021-2022 academic year of scholarships from the Severo Ochoa program to fund the most outstanding applicants.

The IDEA master is a two-year program with a genuinely international vocation and committed to rigorous and quality training. The program is taught entirely in English.

The graduates of the program are highly appreciated in the labor market, both in national and international markets, and a significant number of them continue their training in our Doctorate in Economic Analysis as well as in prestigious national and international doctoral programs.

Complete information about our program is available on the Master’s degree website http://idea.uab.es/ .

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Early Career Development Fellow (RMIT)

Early Career Development Fellow (ECDF) – Mathematical Sciences (3 positions at RMIT)

Full time – Fixed term/Contract

  • 3 x Full-time, 3 -year fixed-term contract positions based at RMIT City campus but may be required to work and/or be based at another campus of the University and/or partner institutes (including overseas)
    • 2 (two) positions are in the area of cybersecurity, specifically in the mathematics of cybersecurity.
    • 1 (one) position is in the area of applied mathematics
  • Play an important role in contributing to teaching and research activities within the Mathematical Sciences Discipline, in the School of Science
  • Remuneration at Academic Level B ($98,495 – $116,965) + 17% superannuation

For further details:

https://yourcareer.rmit.edu.au/caw/en/job/593398/early-career-development-fellow-ecdf-mathematical-sciences-3-positions

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PhD Scholarship: Convergence Speed of Optimisation Algorithms


SCHOOL OF MATHEMATICS AND APPLIED STATISTICS (SMAS),
UNIVERSITY OF WOLLONGONG, AUSTRALIA


An exciting PhD scholarship is available in the School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong, South Western Sydney campus, in the area of Optimisation. The title of the project is Determining the Convergence Speed of Derivative-free Optimisation Algorithms. The UOW scholarship is $28,092AUD tax-free per year for
three years full-time. Tuition fees (for up to 4 years) will be waived. The successful applicant will have the opportunity to work with both Australian and international collaborators, and extra funding may be available for conference travel. Applications are invited from domestic and international students who are able to commence PhD studies at the University of Wollongong in 2021. Applicants should hold, or be close to completing, an Honours 1 undergraduate degree or a Master’s degree in Applied
Mathematics, Computational Mathematics or a closely related field.

HOW TO APPLY
If you are interested in applying for this scholarship, please contact Dr Chayne Planiden via email: chayne@uow.edu.au.

Applications must include CV detailing previous education experience and academic transcripts. It is expected that the successful applicant will be available to commence this scholarship by 31 October 2021. Applications close 30 November, 2020.
MORE INFORMATION
Dr Chayne Planiden, Lecturer
School of Mathematics & Applied Statistics, University of Wollongong, NSW, Australia
Email: chayne@uow.edu.au

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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

Positions at UNSW

Lecturer/Senior Lecturer

Job no: 494014
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Senior Lecturer, Lecturer

Mathematics and Statistics, UNSW Sydney

  • One of Australia’s leading research & teaching universities
  • Dynamic campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best
  • Enjoy a flexible working environment that genuinely values work/life balance

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

For more information, please visit:

http://external-careers.jobs.unsw.edu.au/cw/en/job/494014/lecturersenior-lecturer

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MODU2016

PhD positions

2 PhD positions
Deakin University and Swinburne University

Project title

An optimisation-based framework for non-classical Chebyshev approximation (ARC discovery project DP180100602).

Scholarship

26,300 per year (tax free)

Description

In this project you will work on extending classical results in approximation theory by developing a methodology that lies at the crossroads between analysis, algebra and geometry. The classical Chebyshev alternation theorem on polynomial approximation can be studied from many perspectives: as an optimisation problem, or as an algebraic one for example. It has been generalised in many directions, but several generalisations have remained elusive, for instance piecewise linear approximation. The aim of this project will be to tackle some of these directions by developing new techniques, but also by combining existing ones in a new way. You will work on these challenging topics with an international team of researchers with a variety of mathematical expertise.

For more information, please contact Dr Nadezda Sukhorukova at nsukhorukova@swin.edu.au.

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