Postdoctoral Researcher in AI-Based Road Network Analysis and Maintenance Planning

Description:

Job Responsibilities The Division of Highway and Railway Engineering seeks a motivated and collaborative postdoctoral researcher for a project focused on developing machine learning tools for pavement management. The project is conducted 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 reinforcement. It will be based on extensive datasets of pavement performance and use advanced methods in machine learning and statistics to generate forecasts and evaluate the effects of different maintenance and reinforcement 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 credentials for a future academic or industrial career. Teaching at various academic levels may also be included. The work is conducted in an interdisciplinary environment that combines expertise in pavement engineering, 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 Completed doctoral degree or foreign degree deemed equivalent to a doctoral degree. This eligibility requirement must be met by the time the employment decision is made. Doctoral degree in civil engineering, technical mechanics, computer science, machine learning, or a related field. Programming skills in Python, R, or similar languages for data analysis. Merit Factors At the application deadline, no more than three years since obtaining a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. Strong background in machine learning, statistical modeling, and big data analysis. Experience with infrastructure or transportation data (pavement, traffic, weather, or similar). Knowledge of pavement engineering 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 verbal and written, as this is required in daily work. Teaching experience is an advantage. Awareness of diversity and equality issues, with particular focus on gender equality. We will place great emphasis on personal qualities. Become Part of 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 opportunities are a quality issue and an integral 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 Contact information for trade union representatives. Application You apply through KTH's recruitment system. As an applicant, you have the main responsibility for ensuring that your application is complete when submitted. Your application should contain: CV including relevant work experience and knowledge. Copy of degree certificate and grades from your previous university studies. Translations into English or Swedish if the original documents are not issued in one of these languages. Brief account of why you wish to conduct research, your academic interests, and how they relate to your previous studies and future goals. Maximum 2 pages. The application must be received by KTH no later than the application deadline at midnight, CET/CEST (Central European Time/Central European Summer Time). About the Position The employment is on a permanent basis, but maximum two years. A postdoctoral position is a fixed-term qualifying appointment with a primary focus on research intended as a first career step after obtaining a doctoral degree. Other Information For information on the processing of personal data in connection with recruitment. It is possible that an employment at KTH is placed in a security class. If this is the case for this particular position, a security clearance of the applicant will be conducted in accordance with the Security Protection Act (2018:585) after consent. In such cases, a requirement for employment is that the applicant is approved after the security clearance. We decline direct contact from staffing and recruitment companies as well as vendors of job advertisements.Job Responsibilities The Division of Highway and Railway Engineering seeks a motivated and collaborative postdoctoral researcher for a project focused on developing machine learning tools for pavement management. The project is conducted 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 reinforcement. It will be based on extensive datasets of pavement performance and use advanced methods in machine learning and…

Overview

Type

job

Status

active

Visibility

public

City

Stockholm

Address

Teknikringen 74D

GPS

59.2877928, 18.0528391copyopen in

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19

Published

9. 6. 2026

Edited

5. 8. 2026

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