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Fu‌‌‌‍‌‌‍‌‍‌‌‍‌‌‌‌‌‍‌‍‌‍‌‍‍‌‍‌‌‌‍‍lly funded math Ph.D. in Chalmers University of Technology

ElonZhang
400
1
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We are looking for a PhD candidate to the largest department of mathematical sciences in Sweden. The specialization will be towards optimization, and in particular optimal transport, with a possibility to direct it towards areas such as machine learning, stochastic processes, signal processing, inverse problems, and/or control theory. The environment at the department is international and dynamic, and the candidate will also take part in the national WASP graduate school.

Qualifications

Applicants must have a strong background and interest in mathematical sciences. They must have obtained a master's degree (or equivalent) in mathematics, applied mathematics, or other relevant field, or be expect to complete such degree by the time the employment starts.

Fluency in English is required, as well as good communication and presentation skills in oral and written English. Good team-working skills are also a requirement.

Experience in some of the following areas (in alphabetical order) may be meritorious: convex analysis; functional analysis; numerical analysis; optimization; stochastic analysis. Good programming skills may also be meritorious.

In the application, you should include all relevant work such as bachelor's or master's thesis and articles (provide an English summary if necessary) that you have authored or co-authored. Evidence of mathematical problem solving skills is significant, besides course grades.

We offer

Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.

Read more about working at Chalmers and our benefits for employees. Chalmers offers Swedish courses.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. We work actively to be a parent-friendly organization.

Application deadline: 25th February, 2022For questions, please contact:

Axel Ringh, axelri@chalmers.se
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