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Postdoctor in causal machine learning for human mobility behavior
KTH Royal Institute of Technology

Postdoctor in causal machine learning for human mobility behavior

2025-06-10 (Europe/Stockholm)
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Over de werkgever

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...

De pagina van de werkgever bekijken

Job description

Successful candidates will conduct research in the area of causality and machine learning methods for human mobility behavior modeling and transportation systems with Liam Solus (Department of Mathematics) and Zhenliang Ma (Department of Transportation Planning).  Applicants with a background in causality, machine learning, statistical learning, and statistical methods for transportation research are encouraged to apply.  The successful candidate will be a member of the Department of Mathematics at KTH, which has active groups in mathematical statistics, applied mathematics and related fields. The project is a joint collaboration between faculty in the mathematics and transportation departments.   So the successful candidate will also be included in  the Transportation Planning Division and Digital Futures Program at KTH. The position is time-limited, full-time, two year position starting 25 August 2025 or at an agreed upon date (either earlier or later).  The position in 80% research responsibilities and 20% teaching responsibilities. The position is financed through the KTH Digital Futures Program.

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
  • A position at a leading technical university that generates knowledge and skills for a sustainable future.
  • Work in Stockholm, in close proximity to nature
  • Guidance on relocating and settling in KTH and in Sweden 

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.
  • We seek candidates with a background in areas related to one of the following: mathematical statistics, computer science, statistical methods for transportation research or related fields.

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • A strong emphasis will be placed on scientific skills, pedagogical skills, the ability to work both independently and in collaboration with other researchers
  • Awareness of diversity and equal treatment issues with a particular focus on gender equality.  

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 are interested in the position, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
  • Research Statement (max 2 pages).
  • Contact information for two references.

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: 25 August 2025 or an agreed upon date (either earlier or later).
Salary: Monthly salary
Number of positions: 1
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: PA-2025-1559
Contact:
  1. Liam Solus, [email protected]
Published: 2025-05-21
Last application date: 2025-06-10

Informatie over de vacature

Functienaam
Postdoctor in causal machine learning for human mobility behavior
Locatie
Brinellvägen 8 Stockholm, Zweden
Gepubliceerd
2025-05-21
Uiterste sollicitatiedatum
2025-06-10 23:59 (Europe/Stockholm)
2025-06-10 23:59 (CET)
Soort functie
Baan opslaan

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Over de werkgever

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...

De pagina van de werkgever bekijken

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