Postdoc in AI-driven road network performance prediction and maintenance

Job description

The Division of Highway and Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project on developing machine learning tools for pavement management. The project is conducted in collaboration with the Swedish Transport Administration and partners from the road industry.

The project aims to create data-driven decision support tools for predicting pavement performance and planning maintenance and reinforcement. It will build on extensive pavement performance datasets and apply advanced machine learning and statistical methods to generate predictions and assess the effectiveness of different maintenance and reinforcement strategies. The postdoc will lead work on extracting and analyzing pavement condition and traffic data, integrating them with climate and environmental datasets, and developing validated predictive models of pavement deterioration.

The position is research-focused, with opportunities to strengthen independence and build qualifications for future academic or industry careers. Teaching at various academic levels may also be included. The work will take place in a multidisciplinary environment combining expertise in pavement engineering, mechanics of pavement materials and structures, and machine learning. The role offers opportunities to contribute to high-impact publications and to practical decision support tools for the road engineering community.

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.
• PhD in Civil Engineering, Mechanical Engineering, Data Science, Machine Learning, or a closely related field.
• Programming skills in Python, R, or similar data science languages. 

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Strong background in machine learning, statistical modeling, and big-data analytics.
• Experience with infrastructure or transportation data (pavement, traffic, weather, or similar).
• Knowledge of pavement engineering and pavement deterioration modeling is a merit.
• Ability to work both independently and collaboratively in a multidisciplinary setting.
• Good communicative skills in English, both spoken and written for the day to day work.
• Teaching experience is an advantage.
• Awareness of diversity and equal opportunity issues, with a focus on gender equality. 

Great emphasis will be placed on personal skills.

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

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

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.

Contact information for at least two academic 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

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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.