KTH Royal Institute of Technology, School of Industrial Engineering and Management

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.

Do you want to build a world-leading research environment?
KTH is now developing a brand new research and education department in the subject area of Sustainable production. During 2016 and 2017 we are recruiting new faculty members: among others three Professors, four Associate Professors and one Assistant Professor in the areas of Production management, Production logistics and Strategic maintenance and dependability. In addition, there are resources to recruit Ph.D. students, industrial Ph.D. students, Adjunct Professors and Postdocs. For the new department, a new, attractive and functional campus is being built in the Northern city centre of Södertälje, 30 km south of Stockholm, the capital of Sweden. The focused effort on Sustainable production at KTH is a joint initiative with Scania and AstraZeneca, both with large, expanding and globally competitive production sites in close vicinity of the new campus area.

Job description

The development towards smart factories intends products and production resources such as machines, robots and tools to have the inbuilt capabilities to communicate, make self-diagnose, become self-learning and possess the ability to perform self-adjustments, adaptations and optimizations. In other words, products and processes are intended to become more intelligent and autonomous.

The research group in dependability within the department of sustainable production development is offering a postdoc position focusing on integrated analytics for advanced machinery. The successful candidate will join a research group that is focusing on novel design methodologies for identification and controlling of advanced cyber-physical productions systems by utilizing precising engineering and metrology principles in combination with industrial analytics.

The position is associated with the following sub-topics:

  • Advanced machinery such as machine tools and industrial robots
  • Sensors and measurement systems and their application for identification and monitoring
  • Advanced algorithms for diagnostics and prognostics
  • Digital twins and model-based analytics
  • Root cause analysis and error budgets

The candidate will be responsible to develop new strategies for the detection, identification and modelling of errors in advanced machinery subsystem, this entails:

  • Development of approaches for damage detection and propagation mechanisms in various subsystems
  • Design and construction of a test beds for integrated analytics
  • Planning and running experiments for verification and validation (V&V)

Furthermore, the candidate will also support in teaching activities, such as supervising PhD and M.Sc. students


To be qualified for the position the candidate must hold a PhD degree (in electrical, mechanical or production engineering or equivalent area) with focus in advanced production machinery. The PhD degree cannot be older than three years. Well-developed analytical and problem solving skills are a requirement.

The candidate should have excellent programming skills and be able to develop smart algorithms for high performance analysis. MATLAB/Simulink proficiency is a bonus. Competence in sensors and signal analysis with a good understanding of the role of measurement in the production chain are also advantageous for the position.

We are looking for a strongly motivated person, who is able to work independently, as well as within a research group. Excellent command of English orally and in writing is required. Furthermore, the candidate must have a good ability to work in cross-cultural and cross-functional teams. As the position also include supervision of students, the candidate must have a good ability to generate short-term research ideas for student projects and/or testing which can lead to potential long-term research ideas.

Great emphasis will be placed on personal competence and suitability.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.


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

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).


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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.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment September 1st or according to agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Södertälje
County Stockholms län
Country Sweden
Reference number M-2019-1177
  • Andreas Archenti, Professor, +46 790 83 53
  • Ingrid Kihlander, Head of Unit, +46 790 78 87
  • Maya Öberg, HR Officer (HR matters only), +46 790 76 53
Published 20.May.2019
Last application date 05.Sep.2019 11:59 PM CET

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