Graduate Internship - AI and Optimization for Battery Analytics (m/f/d)
Berlin / Erlangen, Germany
Product – Battery Systems Engineering /
Intern /
Hybrid
About Fluence: Fluence Energy, Inc. (Nasdaq: FLNC) is a global market leader in energy storage products and services, and optimization software for renewables and storage. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider. Fluence is transforming the way we power our world by helping customers create more resilient and sustainable electric grids.
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OUR CULTURE AND VALUES
We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.
We are Leading
Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.
We are Responsible
Fluence is defined by its unwavering commitment to safety, quality, and integrity.
We are Agile
We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.
We are Fun
We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all.
Our "AI and Optimization for Battery Analytics" internship is designed for graduate students deeply interested in AI, Machine Learning, Optimization, and Generative AI. This unique opportunity allows interns to tackle the challenges of energy storage and battery analytics by applying cutting-edge technologies. Candidates pursuing advanced degrees in Data Science, Computer Science, Electrical Engineering, Operations Research, or related fields are encouraged to apply, especially those keen on exploring the innovative applications of Generative AI in the R&D of energy storage systems and battery technology.
Key Quaifications
- Currently enrolled in a Master’s or PhD program, focusing on AI, Machine Learning, Optimization, and Generative AI.
- A profound interest in the R&D of energy storage systems and battery technology, aiming to address complex challenges using advanced AI, optimization methods, and Generative AI.
- Proficiency in Python, ML libraries (e.g., TensorFlow, PyTorch), with solid experience/passion in developing and applying generative AI models and techniques.
- Understanding of optimization algorithms and their application in the R&D for enhancing battery performance and efficiency.
- Exceptional analytical, problem-solving, and research skills, capable of conducting independent as well as collaborative research within a team.
- Strong communication skills, with the ability to present complex R&D findings and insights clearly and effectively to a diverse audience.
Responsibilities
- Develop and apply AI models for innovative research in battery analytics and energy storage.
- Engage in R&D projects focused on leveraging AI for breakthroughs in battery management systems, performance optimization, and reliability improvement.
- Work closely with interdisciplinary R&D teams to incorporate advanced AI models into Fluence Energy's battery analytics frameworks, enhancing the technological capabilities of our energy storage solutions.
- Stay updated with the latest advancements in AI, machine learning, energy storage technologies, and optimization methods, applying this knowledge to ongoing R&D initiatives.
- Learning Outcomes
- Hands-on experience with applying advanced AI and machine learning techniques, and generative AI, to the R&D challenges in energy storage and battery technology.
- Collaborative research experience alongside leading experts in machine learning, energy storage, and renewable energy.
- A deep understanding of the practical applications and implications of AI and optimization in the energy sector, with a focus on innovation and technological advancement.
- Enhanced research, analytical, and communication skills within a state-of-the-art R&D environment.
Candidates interested in this internship should submit a resume along with a cover letter highlighting their experience in AI, machine learning, and specifically their interest and expertise in generative AI and R&D related to energy storage and battery analytics. Please include details of any relevant projects or research work.
Fluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.
