Graduate Internship - AI and Optimization for Battery Analytics (m/f/d)

Number of employees

1010

Berlin, Germany

Posted on: 2024-03-11

Category: energy

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Fluence is the leading global energy storage technology and services company, created and backed by Siemens and AES, two industry powerhouses and pioneers in energy storage. Fluence unites the scale, experience, breadth, and financial backing of the two most experienced icons in energy storage.

Our mission is to create a more sustainable future by transforming the way we power our world. Energy storage is critical to this transformation, yet today the market is fragmented and customers face the challenge of finding a trusted technology partner amidst conflicting technical claims, inexperienced vendors and installers, and new market entrants with limited power sector knowledge.

Fluence brings the proven technology solutions and services that overcome the commercial and regulatory barriers that stand in the way of modernizing our energy networks. We are the partner that can deliver at a global scale with the most experienced and knowledgeable team in the world.

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.
For more information, visit our website, or follow us on LinkedIn or Twitter. To stay up to date on the latest industry insights, sign up for Fluence's Full Potential Blog.
 
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.

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. 

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.
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