Postdoc: AI-Driven Pavement Performance & Maintenance

KTH Royal Institute of Technology; Stockholms kommun; On-site; SEK 384,066 - 548,666; Full time

Job summary

KTH Royal Institute of Technology is seeking a Postdoc in AI-driven road network performance prediction and maintenance. The role involves developing machine learning tools for pavement management and analyzing pavement and traffic data.

The position emphasizes research with opportunities for academic growth and contribution to impactful publications. Candidates should hold a PhD in a relevant field and possess programming skills in Python or R. Join KTH to innovate towards a sustainable society.

Qualifications

• A doctoral degree or equivalent must be obtained by the employment decision time.
• PhD obtained within the last three years is preferred.
• Experience with infrastructure or transportation data is a merit.

Responsibilities

• Develop machine learning tools for pavement management.
• Analyze pavement condition and traffic data.
• Create data-driven decision support tools.

Skills

Programming skills in Python, R, or similar data science languages

Strong background in machine learning

Statistical modeling

Big-data analytics

Good communicative skills in English

Education

PhD in Civil Engineering, Mechanical Engineering, Data Science, Machine Learning, or closely related field

Job description

KTH Royal Institute of Technology is seeking a Postdoc in AI-driven road network performance prediction and maintenance. The role involves developing machine learning tools for pavement management and analyzing pavement and traffic data.

The position emphasizes research with opportunities for academic growth and contribution to impactful publications. Candidates should hold a PhD in a relevant field and possess programming skills in Python or R. Join KTH to innovate towards a sustainable society.