Harness Machine Learning to Drive Electrolyser Performance!

Are you excited about the intersection of machine learning and renewable energy? At Nel Hydrogen, you will work hands‑on with operational data from cutting‑edge electrolyzer technology and contribute to solutions that support a more sustainable energy future.

We are now looking for a Summer Intern to join our Technology Department and support the development of predictive models for electrolyzer performance.

This is a paid internship, with a flexible start and date around late May/early June to mid/late August.

About Nel Hydrogen

Nel Hydrogen is the global leader in on-site hydrogen generation and the largest electrolyzer manufacturer in the world. Nel Hydrogen is leading the charge into the new green hydrogen economy.

If you are driven by personal initiative combined with loyalty and commitment to your team and the ability to convert complex issues into simple solutions, then we want to talk to you. Join a company that is on the cutting edge of new energy innovations, with an energized, progressive culture.

About the Role

As a Summer Intern, you will build on previous work to fit machine learning models to electrolyzer data. You will use tools such as Python, and/or MATLAB to train models and uncover new insights from operational data.

Your work will support the development of predictive models to forecast long-term electrolyzer performance based on operational data that can come anywhere from small benchtop test cells to large industrial installations.

Key Tasks and Responsibilities

• Train machine learning models using Python and/or MATLAB

• Analyze operational data to predict long-term electrolyzer performance

• Contribute to the development of predictive models supporting technology development

• Support additional machine learning-related projects within areas such as

  • Material Development

  • Manufacturing

  • Other areas depending on project needs

Qualifications and Desired Competencies

• Currently pursuing a Bachelor's or Master's in Data Science, Chemical Engineering, Chemistry, or a related field

• Experience with Python and/or MATLAB

• Experience processing and analyzing time-series data

• Familiarity with machine learning models

• Basic understanding of electrochemistry

• Curious, analytical, and motivated to apply theory to real‑world engineering challenges

If you’re interested, we encourage you to apply!

The above statements reflect the principal functions of the position and shall not be construed as a detailed description of all work requirements that may be inherent in the job.

What we can offer

• An opportunity to work in a company in strong growth and a leading position in the market.

• A visible role with many exciting interfaces, internally and externally

• The opportunity to work in a global company that contributes to the green transition.

• A dynamic and highly professional working environment consisting of competent and committed colleagues.

Nel Hydrogen provides comprehensive health and insurance benefits for its employees as well as a short-term incentive program. The Company offers competitive paid vacation time, sick leave, and holidays.

The Company has a published Code of Conduct that all employees are expected to follow.

Visas

• Nel will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided.

• Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

We are an equal opportunity employer-M/F/Disabled/Veteran and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All employment is decided based on qualifications, merit, and business need. Applicants have rights under Federal Employment Laws: FederalEnglish.pdf)