About Lithmic

Lithmic is a young and fast-paced engineering company specialized in battery software solutions for a wide range of sectors. Our solutions are deployed in many different applications for various purposes such as battery power control for safety-critical applications, predictive fault detection systems for grid-scale battery storages and battery lifetime extension for wearable electronics. We provide the right setting for motivated people who get things done. Join us to work on real-world problems of the energy transition to make an immediate impact.

About the Role

We are offering an exciting opportunity for a motivated student to join our team for a thesis or internship focused on applying machine learning to improve the performance and reliability of utility-scale Battery Energy Storage Systems (BESS). This project offers a unique opportunity to gain hands-on experience applying ML techniques in the renewable energy sector using advanced data analytics.

Your Responsibilities

  • Analyze datasets related to battery energy storage systems and their components.
  • Develop and train machine learning models to optimize system performance and predict potential issues.
  • Validate the models using a variety of data sources and ensure their effectiveness in real-world applications.
  • Document the process and present results in a final report or thesis.

Your Profile

  • Enrolled in a master’s program in computer science, data science, electrical/electronics engineering, or a related field.
  • Strong background in machine learning, data analysis, and statistics.
  • Proficiency in programming languages such as Python or MATLAB, with experience in ML frameworks like TensorFlow or Scikit-learn.
  • interested in an employment for more than 4 months, starting between January 2025 and April 2025
  • systematic approach to solving technical problems
  • willingness to take responsibility and acquire new skills
  • fluent in English

Benefits

  • competitive compensation
  • work in a company with flat-hierarchies and fast-decision making
  • flexible working hours with the possibility of home office for certain tasks
  • easy access to the office through public transport U-Bahn Obersendling and S-Bahn Siemenswerke. Parking is available too.
  • office with up-to-date equipment

Contact

info@lithmic.com