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Lund University

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PhD in Traffic Safety: Data Analysis and Traffic Simulation at Lund University Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term full-time doctoral employment at Lund University for 4 years, extended if teaching or other departmental duties are included (up to 20%). Salary is monthly; no stipend amount is stated. The position is a doctoral studentship with employment benefits.

Deadline

Oct 16, 2026

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Country

Sweden

University

Lund University

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Keywords

Computer Science
Data Science
Transportation Engineering
Mathematics
Civil Engineering
Traffic Safety
Traffic Flow Theory
Econometric
Statistics
Statistical Modelling
ML

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About this position

PhD opportunity in traffic safety, data analysis, and traffic simulation at Lund University (Sweden). The doctoral project is hosted by the Transport and Roads group at Lund University’s Faculty of Engineering (LTH), an active research environment with senior researchers, PhD students, and access to an advanced driving simulator and traffic-safety lab infrastructure.

The project focuses on the development and application of quantitative methods for traffic-safety analysis. Research will combine empirical crash and traffic data with statistical modelling, machine learning, and traffic/driving simulation to study crash occurrence, injury severity, and road-user behaviour. There is room to explore heterogeneous effects across road users and environments, predictive model interpretation and validation, and the safety effects of infrastructure or policy interventions.

Applicants should have a master’s degree or equivalent in transportation engineering, civil engineering, traffic engineering, applied statistics, data science, computer science, or another relevant field. The post also asks for documented quantitative coursework or thesis work, programming experience in Python/R/MATLAB or similar, strong independent research ability, good communication skills, teamwork in interdisciplinary and international settings, and very good English. Helpful background includes traffic-safety theory, crash and injury analysis, road-user behaviour, transport planning, infrastructure safety, advanced quantitative methods, large datasets, reproducible analysis, scientific writing, and teaching or publication experience.

The position is a full-time fixed-term doctoral employment for 4 years, with extension possible for teaching or other departmental duties (up to 20%). Salary is monthly; no stipend amount is stated. The post is located in Lund, Sweden.

To apply, submit an English application including a CV, cover letter explaining your interest and fit, copies of degree/study certificates, and any additional supporting documents such as transcripts, references, or recommendation letters. The deadline is 2026-10-16.

Funding details

Fixed-term full-time doctoral employment at Lund University for 4 years, extended if teaching or other departmental duties are included (up to 20%). Salary is monthly; no stipend amount is stated. The position is a doctoral studentship with employment benefits.

What's required

Applicants must meet general Swedish third-cycle admission requirements and the specific requirement of at least 30 second-cycle credits relevant to Technology and Society. A master's degree or equivalent in transportation engineering, civil engineering, traffic engineering, applied statistics, data science, computer science, or another relevant field is required. Candidates should have documented second-cycle coursework or thesis work involving quantitative analysis of transport, traffic-safety, mobility, or comparable empirical data; experience with Python, R, MATLAB, or similar tools; strong independent research ability; good written and oral communication skills; ability to work in interdisciplinary and international settings; very good English; and an analytical, persistent working style. Advantageous qualifications include traffic-safety theory, crash and injury analysis, road-user behaviour, transport planning, infrastructure safety, advanced quantitative methods, large multi-source datasets, scientific writing, publication, conference presentation, teaching, and collaboration experience.

How to apply

Prepare an English application with a CV, cover letter, copies of degree/study certificates proving eligibility, and any additional supporting documents such as transcripts, references, or recommendation letters. Submit through the Lund University/Varbi application portal before the deadline.

More information can be found here

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