The aspects of your job are as follows:
- Literature review on different spatial data imputation, disaggregation, validation, and quality labelling techniques
- Combing different public databases and collecting useful data related to the transport sector in a database. Identifying challenges during this process.
- Implementation of suitable solutions to the identified challenges
- Validation of the results
- Writing the thesis
Your Profile:
- Very good academic marks in computer science, mechanical engineering, electrical engineering, or a related field of study
- Ability to work autonomously and analytically within a project team
- Ideally you already have experience in programming (Python and SQL), relational databases, and APIs
- A high affinity for topics related to machine learning and transport infrastructure
- Fluent oral and written proficiency in English
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:
- Highly motivated and international working group in one of the largest research institutions in Europe
- Intensive thesis supervision at a flexible workplace
- Outstanding scientific and technical infrastructure
- Flexible working hours as well as a reasonable remuneration
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.