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Postdoc in Reinforcement learning with financial applications
KTH Royal Institute of Technology

Postdoc in Reinforcement learning with financial applications

2025-05-24 (Europe/Stockholm)
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Sobre el empleador

Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...

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Job description

The Department of Mathematics at KTH is offering a two-year post-doctoral position in mathematical statistics connected to the project “Reinforcement learning in continuous time with financial applications”. The position is financed by the Verg foundation. The position as postdoc aims at conducting research in mathematical statistics / applied mathematics with emphasis on methods for solving stochastic control problems in continuous time. Such problems arise frequently in financial applications in the context of, e.g., hedging, portfolio management and trading execution. The research involves various approaches for solving PDEs of Hamilton-JacobiBellman type, by developing methods from data science and deep learning to the continuous time setting. The position includes a limited amount of teaching (at most 20%).

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Work in Stockholm, in close proximity to nature
  •  Guidance on relocating and settling in KTH and in Sweden 
  • An inspiring research environment in mathematics and applied mathematics

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

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 mathematics, mathematical statistics, applied mathematics, signal processing, computer science, or closely related area.

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • We seek a candidate with a strong background in parts of mathematics relevant to data analysis and practical experience in data analysis. The successful applicant should be strongly motivated and have the following qualifications:
  • Research expertise
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaborative abilities
  • Independence
  • Communication skills
  • Programming skills in Python and/or Matlab

Great emphasis will be placed on personal skills.

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.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.
  • Brief motivation of why you want to work on this project.
  • Two letters of recommendation, with subject: “S-2023-0910 Verg Letter of recommendation” sent to [email protected]

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

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

About KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here

Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: PA-2025-1481
Contact:
  1. Henrik Hult, [email protected], +4687906911
Published: 2025-05-14
Last application date: 2025-05-24

DESCRIPCIÓN DEL PUESTO

Título
Postdoc in Reinforcement learning with financial applications
Ubicación
Brinellvägen 8 Estocolmo, Suecia
Publicado
2025-05-14
Fecha límite de aplicación
2025-05-24 23:59 (Europe/Stockholm)
2025-05-24 23:59 (CET)
Tipo de trabajo
Guardar trabajo

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Visita la página del empleador

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