Forskningsassistent inom Stadsutveckling och logistik
Core
Support data handling, processing, analysis, and visualization for the 'Undisturbed City' research project focusing on mobility and logistics.
Role type
Research Assistant (Urban Development and Logistics)
Builds
Research insights on mobility and logistics systems
Domain
Urban planning, transportation systems, data science
Deliverable
dashboards & analysis
Required skills
Python programming, Matlab programming, machine learning, GIS tools, advanced degree in transport systems (240 ECTS with 60 at advanced level), numerical analysis
Preferred skills
Data-driven analysis of transport systems
Responsibilities
Collect and process large datasets on mobility and logistics, perform descriptive and exploratory analysis of mobile network, mass transport, and sensor data, collaborate with senior researchers and PhD students, produce high-quality documentation
Seniority
Junior, research support