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Hitachi Energy

Machine learning approaches have proven capable of approximating complex systems, provided a large amount of data is available. However, in some applications this is not readily available and the most recent trend in ML is to include physical knowledge of the system in the algorithm to partially mitigate the effect of a small data regime. Hitachi Energy has an opening for the position of Research Intern for investigating how this class of ML algorithms can be used in specific applications in the power grids domain.
The hired intern will work under the supervision of Research Scientists of Hitachi Energy Research and will be based in our research center in Baden-Dättwil, Switzerland.

Your responsibilities:

• Investigate the strengths and weaknesses of Machine Learning (ML) techniques in specific power grids applications.
• Investigate the architectures and training losses for achieving accurate estimates, and evaluate the performance of physics-embedded machine learning on simulated datasets as well as real measurements
• Review academic literature
• Effectively engage in an interdisciplinary team
• Present findings, write technical reports and/or submit papers in peer-reviewed conference

Your background:

• Currently enrolled in a MSc program in Computer Engineering, Computer Science, Electrical engineering, Applied Mathematics, Computational Physics or similar field
• Experience with Python
• Hands-on experience with open-source ML frameworks, e.g. Tensorflow, Pytorch, Keras, Numpy, Scipy, SkLearn
• Ability to do critical and innovative thinking
• Excellent communication skills (both written and spoken)

Um dich für diesen Job zu bewerben, besuche bitte