PhD Student in Mathematics for AI

Uppsala University Department of Mathematics


PhD student in mathematics for AI: Continuous Methods in Deep Learning


Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.



The Department of Mathematics conducts research and provides education at undergraduate to graduate level in mathematics, applied mathematics and statistics.The number of employees is 120, of which approximately 30 are doctoral students.

Duties/Project description: Research in the project “Continuous Methods in Deep Learning” connected to the WASP graduate school

The purpose of this project is to develop and contribute to the field of continuous models/methods for deep neural networks with particular focus on (systems of) ordinary differential equations, stochastic differential equations and partial differential equations. The focus of the project is to gain a deeper understanding of three of the key problems in deep learning: optimization through methods like Stochastic Gradient Descent, regularization through methods like dropout and the problem of generalization. Currently a satisfactory understand of these fundamental problems in deep learning is lacking.

The duties of a PhD student are primarily directed at his/her own research education, which lasts for four years.The work may also involve, to a limited extent (maximum 20%) other departmental duties, mainly related to teaching undergraduate courses – in which case the position may be extended to maximum five years.

Requirements: In order to be employed as doctoral student, the candidate has to be admitted to the research education program, and for this, his/her potential ability to pursue the program is decisive. The applicant should have a master degree or equivalent which includes a bachelor degree or equivalent in mathematics, applied mathematics or statistics or at least in all likelihood obtain such a degree no later than 30 June, 2020. The candidate should have a good command of spoken and written English. 

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines

Application: A complete application should include a short and concise description of research interests, previous experiences and future expectations, Curriculum Vitae, copies of diplomas and certificates of grades, a copy of master´s degree dissertation (or a preliminary outline thereof) and contact details of up to three referees. We do not want any letters of recommendation.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Salary: According to local agreement for PhD students.
Starting date: 1 September 2020 or as otherwise agreed.

Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.

Scope of employment: 100 %

For further information about the position please contact: Professor Kaj Nyström, e-mail, phone +46 (0)18 4713285.

Please submit your application by 13 March 2020, UFV-PA 2020/14.


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Please do not send offers of recruitment or advertising services. Applications must be submitted as described in this advertisement.

Placement: Department of Mathematics

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Saco-rådet
Seko Universitetsklubben

Number of reference: UFV-PA 2020/14

Last application date: 2020-03-13

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