Course paper / final thesis

Development of a machine learning based bottom-up methodology for spatial road transport emissions

Starting date


Duration of contract

6 months

Type of employment

Full-time (part-time possible)

The research field "Vehicle Systems and Technology Assessment" offers a master thesis, in which the spatial emissions of passenger road transport worldwide are to be modeled within the project "EmissionsLandKarte (ELK)". The aim of the thesis is to develop a machine learning based model to predict regional passenger transport demand in terms of origin-destination matrices as an input to a fine-grained global transport emission inventory. Explainable neural networks and graph neural network architectures are to be conceptualized, tested and validated for Europe and then tested on other world regions. The collection and evaluation of appropriate input data from open sources for the model will be a first task. 

Your tasks: 

  • literature research on existing algorithms for predicting regional transport demand and training datasets available
  • input feature data collection and aggregation to appropriate spatial regions
  • development and testing of suitable machine learning algorithms with a focus on explainability
  • validation on other world regions to check for transferability

DLR is certified as a family-friendly employer. We offer you flexible working hours and temporary home office. A women's network has been established in our institute. Are you committed, able to cooperate, conscientious and responsible? Then apply to us!

Your qualifications:

  • studies in the field of transport engineering, mechanical engineering, computer science or similar
  • experience in machine learning projects, data extraction and analysis tools
  • interest in data science applications in the field of transport research
  • programming knowledge Python (with machine learning modules)
  • fluent expression in English and basic knowledge of German
  • software knowledge (QGIS /ArcGIS) is advantageous

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Isheeka Dasgupta
Institute of Vehicle Concepts

Phone: +49 711 6862-8426

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Vacancy 78722

HR department Stuttgart

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DLR site Stuttgart

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