Data Scientist (m/f/d)

- Collect and crawl data from diverse sources (websites, databases, social networks, etc.). - Prepare and preprocess datasets, conducting initial analyses for application-oriented projects in optimization, AI, and machine learning. - Independently identify, assess, and evaluate potential data sources to support research initiatives. - Engage in one or two following potential application domains of smart manufacturing, market, and mobility: - Manufacturing: Develop advanced optimization and AI models and algorithms applicable to manufacturing, such as collaborative systems, Industry 4.0 applications, or circular economy. Manage a project on designing an opensource benchmark manufacturing databank and simulation environment, integrating classical scheduling problems with real-world applications and case studies. - Marketing: Set up simulation environments for consumer behavior research applications; Design, implement, and optimize complex online surveys using client-side scripting and platform custom code to build interactive modules, conditional logic, dynamic content, and data integrations; Analyze advanced user-generated data and digital content. - Transportation: Develop advanced machine learning and data analytics models under simulation or real-world applications of smart transportation, addressing traffic signal control, traffic demand prediction, congestion management, and causal analysis, and emerging new mobilities. - Contribute to the development of influential benchmark datasets that enhance algorithmic research. - Manage data storage, documentation, anonymization, and publication. - Perform data analysis and visualization using cutting-edge scientific methods. - Write data documentation and summary reports for internal and external use. - Assist in preparing teaching materials for courses in machine learning, optimization, data management, data analysis, and data visualization.