Vacant job

Job Description

The Division of Road and Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project focused on developing machine learning tools for pavement management. The project is carried out in collaboration with the Swedish Transport Administration (Trafikverket) and partners from the road industry.

The project aims to develop data-driven decision support tools to predict pavement performance and plan maintenance and strengthening. It will be based on extensive datasets on pavement performance and use advanced methods in machine learning and statistics to generate forecasts and evaluate the effect of different maintenance and strengthening strategies. The postdoctoral researcher will lead the work of extracting and analyzing pavement and traffic data, integrating these with climate and environmental data, and developing validated predictive models for pavement deterioration.

The position is research-focused and offers the opportunity to strengthen independence and build qualifications for a future academic or industrial career. Teaching at various academic levels may also be included. The work is conducted in an interdisciplinary environment combining expertise in pavement technology, mechanics of pavement materials and structures, and machine learning. The role offers opportunities to contribute to both high-impact scientific publications and practical decision support tools for the road engineering sector.

Qualifications

Requirements

• A completed PhD degree or a foreign degree assessed as equivalent to a PhD. This eligibility requirement must be met no later than at the time the employment decision is made.
• PhD in Civil Engineering, Engineering Mechanics, Computer Science, Machine Learning, or a related field.
• Programming skills in Python, R, or similar languages for data analysis.

Merits

• At the application deadline, no more than three years have passed since the PhD degree or a foreign degree assessed as equivalent to a PhD was awarded.
• Strong background in machine learning, statistical modeling, and big data analysis.
• Experience with infrastructure or transport data (pavement, traffic, weather, or similar).
• Knowledge of pavement technology and models for pavement deterioration is a merit.
• Ability to work both independently and collaboratively in an interdisciplinary environment.
• Good communication skills in English, both oral and written, as this is required in daily work.
• Teaching experience is an advantage.
• Awareness of diversity and equality issues, with a particular focus on gender equality.

We will place great emphasis on personal qualities.

Join KTH

KTH shapes the future through education, research, and innovation. As a leading international technical university, we play an active role in driving and contributing to the transition to a sustainable society. Here, you are offered the opportunity to grow and develop in a creative and dynamic workplace with good working conditions and benefits. Equality, diversity, and equal opportunity are quality issues and a clear part of KTH's values as a university and public authority.

Read more about our benefits and what it is like to work and develop at KTH.

Trade Union Representatives

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Application

You apply via KTH's recruitment system. As an applicant, you are primarily responsible for ensuring your application is complete when submitted.

The application should include:

• CV including relevant professional experience and knowledge.
• Copies of degree certificates and transcripts from your previous university studies. Translations into English or Swedish if the original documents are not issued in either of these languages.
• A concise statement of why you wish to conduct research, your academic interests, and how they relate to your previous studies and future goals. Max 2 pages long.

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

About the Position

The employment is permanent, but for a maximum of two years.

A postdoctoral position is a time-limited qualifying appointment with a primary focus on research, intended as a first career step after the PhD defense.

Other Information

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