Tenure Track position for a Researcher on Human Mobility and Complex Urban Systems at Bruno Kessler Foundation, Centre for Digital Society

3 ore fa

Trento, Trentino-Alto Adige/South Tyrol, Italia Fondazione Bruno Kessler Tempo pieno
Overview

Join FBK's Tenure Track program as a researcher in CHuB. You will contribute to European and national projects on human mobility, urban systems, and sustainable transportation, shaping a research and funding strategy in complexity science. You will supervise PhD students and interns, collaborating with cross-disciplinary teams to advance multimodal transit solutions. This role offers a clear path to a permanent R3 position and impact on urban resilience and digital society.

Retribuzione / Benefits
  • flexi-time
  • company subsidized cafeteria or meal vouchers
  • internal car park
  • visa support for accommodation
  • supplementary pension and health fund
  • training courses
Responsabilità
  • Contribute to European and national projects on human mobility, urban transportation, and sustainability
  • Design and implement research and funding strategy applying complexity science to urban systems
  • Supervise or co-supervise PhD students and interns
  • Collaborate with the CHuB team and report to the unit head
  • Support leadership in strategy and project management within CHuB
Requisiti fondamentali
  • PhD in Physics (Complex Systems, Network Science) or Applied Mathematics
  • Experience with statistical and computational models of urban systems, human mobility, or transportation
  • Software development skills (preferably Python)
  • Experience in international and collaborative research projects
  • Strong publication record in relevant journals
  • Good English proficiency
  • Excellent verbal and written communication; good teamwork; self-organization
  • Excellent verbal and written communication
  • Good team working attitude
  • Good self-organization and autonomous operation
  • Python programming
  • Statistical and computational modeling
  • Graph theory / complex networks