Fully funded PhD position in numerical optimisation (University of Sydney)

Applications are now open for 1 fully-funded PhD position (3 years) in numerical optimisation, working with Dr Lindon Roberts at the School of Mathematics and Statistics, University of Sydney. This project is to work on the development, analysis and implementation of algorithms for derivative-free optimisation problems. There are no nationality restrictions on the position. Students with a strong honours (first class or upper second class) or a master’s degree in mathematics or a related field are encouraged to apply.

This scholarship is funded by the Australian Research Council project “Robust Derivative-Free Algorithms for Complex Optimisation Problems”.

Applications close on Monday 5 February, with a view to starting the project in March 2024. For more details see

https://www.sydney.edu.au/scholarships/d/postgraduate-research-scholarship-in-numerical-optimisation.html

Contact: lindon.roberts@sydney.edu.au

The School of Mathematics and Statistics at the University of Melbourne: Two Positions

The School of Mathematics and Statistics at the University of Melbourne is seeking to expand its expertise in mathematical and statistical data science The successful applicant is expected to develop and maintain a high-level research program in an area of mathematics or statistics with a focus on data science theory, methodology and/or applications. The School seeks a profile which complements its existing data science strengths in aspects of pure and applied mathematics, statistics, machine learning, optimisation and operations research, geometry of deep learning, biostatistics and genomics.

For further details on the positions, visit:

The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for a tenure‐track position in Artificial Intelligence in its broadest sense.

A new position will be open at the Department of AI (former Department of Machine Learning). The Department priority areas are

  • various areas of machine learning and neural networks,
  • mathematical theory and design,
  • study of learning algorithms.

For more information, please refer to the following website.

https://www.cs.cas.cz/job-offer/Tenure-Track-Position-Artificial-Intelligence/en

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
 

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.

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

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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