About EDF Lab Singapore
EDF, a world’s leading electricity company, is aiming at speeding up innovation for the cities of tomorrow with innovations in energy efficiency in buildings, new low carbon uses of energy, smart grids, renewable energy, electric mobility and batteries.
In Singapore, the R&D branch of EDF Group has launched EDF Lab Singapore in 2014 to explore and develop solutions to help decision makers and developers achieve their vision of smart and sustainable cities. Working with the Singaporean government (HDB) and local universities (NUS, SUTD, SIT, ESSEC), EDF Lab Singapore is rooting a strong expertise adapted to the Singaporean and South East Asian context.
EDF Lab Singapore is looking for a talent to work with our cross-disciplinary research team in developing smart city solutions. This role will provide you a unique opportunity to work on projects involving smart mobility, e-mobility, and EV charging infrastructure in South East Asia.
You will be learning not only the day-to-day responsibilities of a researcher within our team but also will be tasked with project that directly supports the goals of the EDF Lab Singapore.
- Modify and develop agent-based model and simulation (e.g. using AnyLogic)
- Contribute to traffic model methodology and perform mobility data analysis
- Draft relevant presentation slides and report
- Produce newsletter on latest development of electric and autonomous vehicles
- Research on smart charging and harbour electrification topics
- Bachelor’s degree or higher in any engineering, mathematics, computer science, or other related discipline
- Strong in mathematics and experience in programming (e.g. Java, Python)
- Experience in modelling and simulation software (e.g. MATSim, AnyLogic)
- Interest or experience in transport demand model, urban mobility, e-mobility
- Strong written, verbal, and interpersonal communication skills
- Eligible to work in Singapore
- Able to commit at least 3 months or more
Related Job Searches:
EDF Lab Singapore
Intern (Urban Mobility) – Modelling and Optimization
Energy and Chemicals