Postdoktor inom AI-baserad vägnätsanalys och underhållsplanering
Core
Developing machine learning tools for pavement management to predict performance and plan maintenance/strengthening for road infrastructure.
Role type
Postdoctoral researcher (AI/ML in civil engineering)
Builds
Data-driven decision support tools for predicting pavement performance and evaluating maintenance strategies.
Domain
Civil engineering / Transportation infrastructure / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, data analysis, Python or R programming, infrastructure/transport data handling
Preferred skills
Pavement engineering knowledge, pavement deterioration modeling, big data analysis, teaching experience
Technologies
Python, R
Responsibilities
Extract and analyze pavement and traffic data, integrate data with climate and environmental data, develop validated predictive models for pavement deterioration, contribute to scientific publications and practical decision support tools.
Seniority
Postdoctoral (early career researcher)