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Chalmers University of Technology

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Postdoc in Railway Mechanics and Predictive Asset Management Chalmers University of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Temporary full-time employment for two years starting January 2027, with the possibility of a one-year extension. Standard employee benefits at Chalmers are mentioned; no stipend or tuition funding is described because this is a postdoctoral employment.

Deadline

Oct 31, 2026

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Country

Sweden

University

Chalmers University of Technology

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Keywords

Computer Science
Mechanical Engineering
Statistical Analysis
Industrial Engineering
Statistics
ML

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About this position

Chalmers University of Technology in Sweden is recruiting a Postdoc in Railway Mechanics within the National Centre of Excellence CHARMEC and the Division of Dynamics, Department of Mechanical Engineering.

The project focuses on hybrid asset management for railways, combining physical simulations with data-driven analyses, including AI/ML and statistical methods. The research aims to improve predictive asset management by linking operational, monitoring, and inspection data to current condition, future deterioration, and operational safety of tracks and vehicles.

This postdoctoral position is especially relevant for candidates with backgrounds in mechanical engineering, railway mechanics, statistics, industrial engineering, and computer science (data-driven methods). The role includes research, publication in international journals, conference/seminar presentations, some supervision of master’s and/or PhD students, and possible teaching at undergraduate/master’s level.

Eligibility highlights: a doctoral degree in Mechanical Engineering or a similar field (or equivalent foreign degree), strong experience in predicting mechanical deterioration, and strong English communication skills. Experience with maintenance and condition monitoring databases, railway mechanics, and Swedish language skills are advantageous.

Employment terms: full-time temporary employment for two years starting January 2027, with a possible one-year extension. The position requires physical presence throughout the employment and may involve security clearance/background check.

Application deadline: 31 October 2026. Applicants must submit an English-language application as PDF files via the online application form; incomplete applications and email submissions will not be considered.

Contact for questions: Anders Ekberg, Professor in Railway Mechanics, [email protected].

Funding details

Temporary full-time employment for two years starting January 2027, with the possibility of a one-year extension. Standard employee benefits at Chalmers are mentioned; no stipend or tuition funding is described because this is a postdoctoral employment.

What's required

A doctoral degree in Mechanical Engineering or a similar field, or an equivalent foreign degree, must be obtained no later than the employment decision. Applicants should have high competence and research experience in prediction of mechanical deterioration and in using statistical and/or AI/ML methods. Strong written and verbal English communication skills are required. Teaching experience is expected to some extent, and good potential in research and education is desired. Meritorious qualifications include a PhD obtained within the last three years, experience in railway mechanics, experience extracting and interpreting data from maintenance and condition monitoring databases, and knowledge of Swedish.

How to apply

Prepare the application in English as PDF files, including a comprehensive CV with publications, degrees, and teaching/pedagogical experience, plus a personal letter describing your background, research outcomes, and future goals. Submit through the application form on the vacancy page; incomplete applications and email submissions will not be considered.

More information can be found here

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