Causal Machine Learning-Based Decision Support for Railway Control Rooms: Postdoctoral position
Tasks
- Analyze observational event level big data
- Build forest or tree based instrumental variable causal models
- Collaborate with research team to write and publish academic manuscripts
- Conduct observational causal inference for train punctuality
- Develop causal machine learning decision support tools for railway control rooms
- Ensure practical relevance and validity for partner organizations
- Mitigate railway delay propagation using operational decision strategies
- Research employee workload and human machine interaction
Perks/Benefits
- Complementary health insurance
- Conference funding
- Contributory pension scheme
- Data collection funding
- Financial bonuses for publications
- French language courses
- Fully funded position
- Housing search assistance
- Meal vouchers
- Profit sharing plan
- Relocation allowance
Skills/Tech-stack
Behavioral operations | Big Data | Causal Inference | Causal Models | Data Analysis | Event Level Big Data | Forest models | Human-machine interaction | Instrumental Variable | Instrumental Variable Methods | Machine Learning | Machine interaction | Observational data | Observational data analysis | Operational Research | Operations Management | Tree Based Causal Models | Tree-based Models
Education
Roles
Data Scientist | Postdoctoral Researcher | Researcher | Scientist
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