MoCaO Lectures: Data Science

July 11-15, 2022

The MoCaO Lectures in Computation and Optimisation for 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and 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.


Speakers:

Prof. Stephen Wright: is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world-renowned expert in optimization and the author of several highly cited books in this field.

Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.

Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.


Dates:
The 11th , 12th and 13th of July 12noon-1pm: Speaker Prof Stephen Wright
The 14th July 12noon-1pm: Speaker Dr. Quoc Thong Le Gia
The 15th July 12.30pm-2pm: Prof. Guoyin Li


IMPORTANT: Website and Registration:
Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. If you did not receive a Zoom link or you have not yet registered, please contact Dr Quoc Thong Le Gia (qlegia@unsw.edu.au) .

ICM2022 Down Under @SMRI, 6–8 July 2022

Live talks are given by Regina Burachik (University of South Australia, Section 16 – Control Theory and Optimisation) and George Willis (University of Newcastle, Section 2 – Algebra).

The ICM Down Under will conclude with a twilight talk by SMRI Director Geordie Williamson on Friday evening (8 July 20:00 AEST). The talk will be recorded and broadcasted by the London Mathematical Society (virtual ICM public lecture, 8 July 12:00 BST).

For further information and registration, please visit: https://mathematical-research-institute.sydney.edu.au/news/icm2022-down-under/

MoCaO Lectures: Data Science – Second Announcement

July 11-15, 2022

The MoCaO Lectures in Computation and Optimisation for 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and 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.


Speakers:

Prof. Stephen Wright: is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world-renowned expert in optimization and the author of several highly cited books in this field.

Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.

Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.


Dates:
The 11th , 12th and 13th of July 12noon-1pm: Speaker Prof Stephen Wright
The 14th July 12noon-1pm: Speaker Dr. Quoc Thong Le Gia
The 15th July 12.30pm-2pm: Prof. Guoyin Li


IMPORTANT: Website and Registration:
Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. We encourage those who have already registered to reregister using the new google form the bottom of the webpage (so you may receive the zoom details)


MoCaO Lectures:  Data Science – Mathematics of Computation and Optimisation


We apologies for any inconvenience this issue may cause. 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.

MoCaO Lectures:  Data Science


Attention: Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. We encourage those who have already registered to re-register using the new google form. We apologies for any inconvenience. 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.

 July 11-15, 2022

 We are pleased to announce the inaugural MoCaO Lectures in Computation and Optimisation. For 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and 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.

Speakers:

Prof. Stephen Wright:  is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world renowned expert in optimization and the author of several highly cited books in this field.

Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.

Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.

For more information and registration, got to

MoCaO Lectures:  Data Science – Mathematics of Computation and Optimisation

Two level B positions in Applied Mathematics.

The School of Mathematics and Statistics at UNSW is advertising two convertible, level B positions in Applied Mathematics.

Applications close 26 April 2022

We are looking for an academic who aligns with the research directions in the Department. The Department of Applied Mathematics has particular research strengths in Mathematical Modelling and Biomathematics, Computational Mathematics, Dynamical Systems and Integrability, Geophysical Fluid Dynamics, Nonlinear Phenomena, Optimisation, Fractional Calculus, and Stochastic Modelling. 

A detailed position description and link to the application website can be found at:

https://external-careers.jobs.unsw.edu.au/cw/en/job/507398/lecturer-applied-mathematics

Lecturer/Senior Lecturer in Computational Mathematics, Monash University

The School of Mathematics at Monash is advertising a continuing B/C position in
numerical and computational mathematics.

The application deadline is Sunday 24 April 11:55pm Melbourne time.

The group of numerical and computational mathematics at Monash has recently grown a lot and covers many aspects in this field: numerical analysis, high performance computing, optimisation and OR, inverse problems, uncertainty quantification, etc. The School of Mathematics itself is a vibrant department with strong research in many aspects of applied mathematics, pure mathematics and probability/statistics.

Detailed position description and link to the application website can be found here:

http://careersaustralia.monash.edu/cw/en/job/630719/lecturersenior-lecturer-in-applied-and-computation-mathematics

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

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