Machine Learning/Data Science Internship

About LeydenJar

LeydenJar Technologies aims to become world’s innovation leader in advanced battery anodes to energize batteries for progress. High energy density of battery cells is an urgent and unmet need for a wide range of industries from consumer electronics to electric vehicles. By addressing the bottleneck of the battery anode, LeydenJar can improve this by 70% in an industry that can only improve 3% per year. Our pure silicon anode is regarded as the holy grail to achieve in the battery industry. Progress is not only about enabling new products, it also means a more sustainable supply chain, resilience and access to battery technology in geopolitical context and enabling electrification.

Our business model is to provide pure silicon anode rolls that fit directly in the battery plants of cell partners, allowing our clients to make step change in their product performance, or to allow new product categories such as e-flight. Our immediate focus in on the consumer electronics industry, with first automotive application development starting in shortly. To produce pure silicon anodes, we have crossed over from semicon thin film technology (plasma deposition) to anode production. This has given us a unique product quality that can last long without the problems associated with silicon as a battery material. To produce this material at scale we have pioneered roll to roll production tools that we will deploy in PlantOne in Eindhoven, expected to open in 2026. We will produce rolls and validate the production tools, allowing us to ramp up to large commercial production in PlantTwo (location to be determined). Ramping up to become a leading player in the battery market is an enormous opportunity, but also daunting development that requires a team of energy dense professional leaders. 

We are looking for a dedicated intern on machine learning to create new insights within LeydenJar: You will be working within an entrepreneurial start-up - we are open-minded, data driven and innovative. You will be part of a young, international and ambitious team that is determined to make an impact towards a better world with cleaner energy. 

About the job

As a Machine learning/Data science intern in the Battery R&D team, you will play a key role in the development of new electrolytes to boost our anode’s performance. Currently we are scaling up our testing capabilities for electrolyte testing. We need you to help us make smart decisions and finding the optimal electrolyte. You will be working closely together with experienced battery scientists and data science professionals. The primary location for work will be Leiden. It is acceptable to work remotely one day a week. The minimum duration of the internship is 6 months. 

You can be responsible for: 

• Use our machine learning model to suggest new electrolyte formulations 

Use our machine learning model to suggest new electrolyte formulations 

• Querry, join and clean data from our Azure database. 

Querry, join and clean data from our Azure database. 

• Implement new features in the machine learning model.  

Implement new features in the machine learning model.  

• Test new models to improve the suggested electrolytes. 

Test new models to improve the suggested electrolytes. 

• Make the machine learning model usable for our scientist.

Make the machine learning model usable for our scientist.