Student Assistant (f/m/d) - AI-driven Energy Management [LRZ]

28.10.2024, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Investigate AI-driven Energy Management at the Leibniz Supercomputing Centre.

What you will do:
• In-depth evaluation of different time-series prediction models (e.g. LSTMs, Transformers)
• Research and evaluation of feature embedding methods
• Data engineering and feature augmentation (e.g. frequency decompositions)
• Implementation of a backtesting pipeline to estimate cost savings

What you should bring:
• Extensive programming experience in Python
• Good theoretical understanding of machine learning and deep neural networks
• Experience with time-series forecasting and commonly used prediction models is a plus

Please apply online: https://lrz.jobs.personio.de/job/1791745

Kontakt: michael.eichelbeck@tum.de

More Information

https://lrz.jobs.personio.de/job/1791745