Thesis Worker: Smart Charging & Vehicle Readiness

Scania; Stjärna; On-site; SEK 167,000 - 257,000; Part time

Job summary

Scania seeks a Master's student to work on Predictive Vehicle Readiness and Smart Charging for Electric Heavy Vehicles. The role focuses on predicting departure readiness from charging data and energy needs, building probabilistic forecasts, and testing strategies against historical charging sessions.

You will extend the model toward bidirectional charging and evaluate its value in depot peak shaving and electricity price optimization, delivering a prototype view, final report, and presentation.

Qualifications

• Master's student in Data Science, Applied Mathematics, Statistics, Computer Science, Electrical Engineering or related field.
• Strong Python & SQL skills for data analysis and solid knowledge of statistics and ML.
• Fluent English is required.

Responsibilities

• Review literature on departure and energy prediction, probabilistic forecasting and smart charging.
• Build probabilistic models for departure time and mission energy and combine with charging progress.
• Define how a not-ready outcome is identified and evaluate models.
• Design charging/preconditioning strategy and test by replaying historical charging sessions.
• Extend strategy to bidirectional power transfer and estimate energy/power while maintaining readiness.
• Simulate value of flexibility for scenarios like depot peak shaving or price optimization.

Skills

Python

SQL

Statistics

Machine Learning

English

Education

Master's student in Data Science / related field

Job description

Scania seeks a Master's student to work on Predictive Vehicle Readiness and Smart Charging for Electric Heavy Vehicles. The role focuses on predicting departure readiness from charging data and energy needs, building probabilistic forecasts, and testing strategies against historical charging sessions.

You will extend the model toward bidirectional charging and evaluate its value in depot peak shaving and electricity price optimization, delivering a prototype view, final report, and presentation.