Project description
Third-cycle subject: Applied and computational mathematics
The project focuses on applying optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to build a theoretical and computational foundation for new methods in statistical inference and generative modeling, based on principled optimal transport and gradient flow theory.
We are looking for a highly motivated candidate with a strong background in mathematics, applied mathematics, or related fields, and with an interest in both theory and applications.
The doctoral student will be placed at the Department of Mathematics, School of Engineering Sciences (SCI), KTH Royal Institute of Technology, and will be part of a dynamic research environment with close collaboration with other researchers in the area.
Supervision: Jia-Jie Zhu is proposed to supervise the doctoral student. Decisions are made on admission
Admission requirements
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
- passed a second cycle degree (for example a master’s degree), or
- completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
- acquired, in some other way within or outside the country, substantially equivalent knowledge
- A master’s degree in mathematics, applied mathematics, optimization, statistics, machine learning, or a closely related field, with a solid background in analysis, differential equations, and/or optimization.
- Documented proficiency in mathematical reasoning and programming (e.g. Python) relevant for computational mathematics and machine learning is required.
- Experience in one or more of the following areas is considered advantageous: optimal transport, PDE, stochastic analysis, or theory of generative models, statistical inference and/or sampling
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
Selection
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
- independently pursue his or her work
- collaborate with others,
- have a professional approach and
- analyze and work with complex issues.
- Experience in programming, numerical simulation is meritorious.
- Good communication skills in English as this will be required in day-to-day work and the ability to work both independently and in a team.
- Experience in working in international research environment
After the qualification requirements, great emphasis will be placed on personal skills.
Target degree: Doktoral degree
Information regarding admission and employment
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years’ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.
As a doctoral student, you receive part of a workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden.
Union representatives
Contact information for union representatives.
Doctoral Students`network (Students’ union on KTH Royal Institute of Technology)
Contact information for doctoral section.
To apply for the position
Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include the following elements:
- CV including your relevant professional experience and knowledge.
- Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 1 page long).
- Representative publications or technical reports.
- Master thesis (or draft)
- Contact information of two references
Other information
For information about processing of personal data in the recruitment process.
It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
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