Test capacity is limited, while the most important model uncertainty is not always obvious.
Battery Engineering needs decision-ready evidence, and R&D needs to protect scarce experiments from weak recommendations.
Who you’d be doing this for
“We spent two weeks on a test that confirmed what we already suspected, and the design review is still waiting.”
Bina Desai · Battery Engineering Lead
Uses model and test evidence to decide which battery design assumptions can advance.
What is at stake
Scarce test capacity is being spent without settling the assumptions holding up battery design decisions. You must weigh model uncertainty against experiment feasibility and evidence engineers can defend.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- test throughput vs. discriminating evidence
- model uncertainty vs. experimental feasibility
- agent speed vs. verified rationale
- design urgency vs. scientific rigor
Why Form Energy, Inc.
Iron-air battery development depends on closing model-to-data gaps before cell, module, pack, and support-system decisions become embedded in the product.
Written with these in mind
Not your kind of problem? 20 more at Form Energy, Inc., or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.