Research Intern (Electrochemical Modeling Porous Electrodes)

The scope is to develop physics-based models to simulate charge/discharge behavior of porous electrodes for long-duration energy storage. The goal is to quantify how electrode geometry (e.g. porosity, thickness, tortuosity) affects ion transport limitations, voltage behavior, and EIS signatures. The work combines electrochemistry, transport modeling, and Python simulation.

• The internship duration is at least 3 days a week for 4 - 6 months.
• Start date is flexible
• Location is on-site at our Amsterdam office or hybrid (negotiable)
• Stipend reimbursement is EUR500 per month for 5 days a week (pro-rated for part time)
• This internship reports into our Chief Scientist, Yaiza Gonzalez Garcia.
• The internship is only open to currently studying at a Dutch or EU University, we're unable to sponsor students from outside of the EU at this time.

Why this internship matters

The outcome will influence design of electrodes for next-generation multi-day energy storage.  Your simulations will guide real prototypes being tested in the lab.

• Build and modify 1D porous-electrode transmission-line models
• Simulate charge/discharge cycles, CV, and EIS
• Ingest and process experimental data (CV, LSV, discharge curves, porosity measurements)
• Perform parameter sweeps and sensitivity analysis
• Summarize results in short written reports

Deliverables

• Analysis and summary of parameter influence (porosity, tortuosity, thickness)
• Final report with simulation results and recommendations
• (Optional) One reproducible Jupyter notebook implementing the model

Required qualifications

• Bachelor’s or Master’s student in Chemical Engineering, Materials Science, Applied Physics, Mechanical Engineering, or related field
• Competent with Python, familiar with scientific libraries would be desired (for example: numpy, scipy, matplotlib)
• Basic familiarity with electrochemical techniques (CV, charge/discharge, impedance)
• Ability to read technical literature and work independently

Preferred (not required)

• Experience with PyBaMM, MATLAB, or COMSOL
• Familiar with porous media modeling or partial differential equations (Fickian diffusion, Butler–Volmer kinetics)
• Interest in batteries, energy storage, or grid-scale modeling

Do you want to create a better world by accelerating the energy transition? Does your heart skip a beat to work on a disruptive energy storage technology? Would you like to be a part of a fun and dynamic start-up environment? Then we are looking for you!
Ore Energy is a young academic spin-out from TU Delft with fast growth trajectory ahead. We are founded officially in 2022 with one goal in mind: to help transition the world to green energy by enabling tomorrow's zero-carbon electric system. That is why, we are developing a revolutionary long-term energy storage technology out of very cost-effective and environmentally friendly materials. We truly believe that the best way to develop technology is to assemble and support a team of dedicated professionals who are passionate about the scientific process of discovery and who enjoy working on challenging problems every day. 

At Ore Energy B.V., we are committed to fostering an inclusive and diverse workplace where every individual has the opportunity to thrive. We believe that diversity of thought, background, and experience drives innovation and success.Are you unsure if you meet all the requirements? Please do apply, we’d love to hear from you! Your unique perspective and skills could be exactly what we’re looking for.