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Malte Rothhämel

Top university

6 months ago

Postdoctoral Researcher in Energy Modelling for Bicyclists at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

The postdoctoral position is funded by the Swedish Energy Agency (Energimyndigheten). It is a temporary full-time position for up to two years. Salary is monthly; no stipend amount is stated.

Deadline

Expired

Country flag

Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Urban Planning
Vehicle Dynamics
Civil Engineering
Industrial Engineering
Python Programming
Big Data
Traffic Management
Statistics
Statistical Modelling

About this position

KTH Royal Institute of Technology is recruiting a Postdoctoral Researcher in energy modelling for bicyclists within the School of Engineering Sciences. The project focuses on microsimulation of cyclists with an emphasis on energy expenditure, travel time, longitudinal dynamics, and route performance. The goal is to develop a model that can generate performance indices such as travel time, average bicycle speed, and energy expenditure, and then use these indices to compare infrastructure alternatives in a more comprehensive way.

The work is situated in a transport and vehicle engineering context and includes modeling, numerical analysis, and experimental validation of cyclist speed over given routes. The research is motivated by the need to better account for user benefits in infrastructure planning, especially for commuting cyclists and sustainable transport systems. The position involves independent research, publishing in international scientific journals, contributing to project development, and collaborating with public partners, researchers, and students.

Research areas and keywords: energy modelling, bicyclists, cyclist microsimulation, vehicle dynamics, traffic engineering, transportation data, machine learning, statistical modeling, big-data analytics, Python, MATLAB, urban planning.

Eligibility highlights: a doctoral degree or equivalent foreign degree is required by the time of appointment; applicants should have documented research expertise and the ability to publish internationally. Strong background in traffic/urban planning, mechanical engineering, vehicle engineering, data science, machine learning, or a related field is expected. Strong Python or MATLAB skills and very good English communication skills are required. Swedish language skills, field measurements experience, automated picture recognition, and teaching experience are advantageous.

Funding and duration: the position is funded by the Swedish Energy Agency (Energimyndigheten) and is offered as a temporary full-time post for up to two years. Salary is monthly; no stipend is mentioned.

Application window: published 15 April 2026; last application date 5 May 2026.

How to apply: apply through KTH's recruitment system. Prepare a CV, degree certificates and transcripts, translations if needed, and a brief two-page statement of research motivation and fit. Submit the complete application before the deadline.

Funding details

The postdoctoral position is funded by the Swedish Energy Agency (Energimyndigheten). It is a temporary full-time position for up to two years. Salary is monthly; no stipend amount is stated.

What's required

Applicants must have a doctoral degree or equivalent foreign degree by the time the employment decision is made. The post requires documented research expertise and the ability to publish in international scientific journals. A strong background in one or more of traffic or urban planning, mechanical engineering, vehicle engineering, data science, machine learning, or a closely related field is required. Strong programming skills in Python or MATLAB are required. Very good written and spoken English is required. Preferred qualifications include a doctorate obtained within the last three years, field measurements experience, automated picture recognition, machine learning, statistical modeling, big-data analytics, experience with infrastructure or transportation data, traffic planning or urban planning, good Swedish communication skills for day-to-day work with project partners and field work, and teaching experience. Strong collaboration, independence, structured working style, and awareness of diversity and equal opportunity issues are also emphasized.

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Professors

Assistant professor within vehicle system technology

University Name
Country flag

Sweden

Research Interests

Automotive Engineering

Solid Mechanics

Vehicle Dynamics

Traction Engineering

Viscoelasticity