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Postdoc in Optimal Transport, Optimization, Sampling and Machine Learning

KTH Royal Institute of Technology, School of Engineering Sciences

Job description

As a postdoctoral researcher, you will conduct research in optimal transport, optimization with applications to machine learning and statistics. The work includes theoretical and computational studies of Wasserstein gradient flows and its PDE analysis, as well as the development of numerical algorithms for optimization, sampling, and inference. The position is hosted by the Department of Mathematics, School of Engineering Sciences (SCI) at KTH, and the postdoc will work in close collaboration with Dr. Jia-Jie Zhu. The research is carried out in an international environment with collaborations both within KTH and with external research partners. Up to 20% of the position may include teaching or supervision duties.

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
  • A doctoral degree in applied mathematics, statistics, optimization or machine learning
  • Proven research experience in one or more of the following areas: stochastic or partial differential equations, optimal transport, variational methods, optimization, or statistics.
  • Strong academic background in topics including (but not limited to): optimization theory, optimal transport, PDEs, SDEs, sampling, optimal control, and generative models.
  • Excellent command of English, both spoken and written. (The research environment is international, therefore proficiency in English is required.)

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Research background in optimal transport or related geometry.
  • Experience in optimization theory (e.g., PL inequality, variational analysis).
  • Experience with sampling methods such as MCMC, SMC, or variational inference, as well as familiarity with diffusion models or flow matching.
  • Publications in leading journals or conferences in applied mathematics, statistics, or machine learning.
  • Research expertise
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • As a person, you are independent and have strong collaboration skills.

Great emphasis will be placed on personal skills.

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

Learn more about our benefits and what it's like to work and grow at KTH.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Master and PhD thesis (draft if not finalized)
  • Contact information of two referenences who agreed to be contacted

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

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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Type of employment

Temporary position

Contract type

Full time

Full-time equivalent

100%

First day of employment

According to agreement

Salary

Monthly salary

Number of positions

1

Location

Stockholm

County

Stockholms län

Country

Sweden

Reference number

PA-2025-3917

Published

01.Dec.2025

Last application date

07.Jan.2026

Contact
Henrik Hult, hult@kth.se
+4687906911