Performance Engineer, Adsorption & Data-Driven Optimization

Performance Evidence Definition: You translate system-level and scale-up questions into clear experimental objectives and KPIs, define required datasets and operating windows, and ensure that testing generates reliable, traceable, and decision-ready performance evidence.

Experimental Data Analysis: You process and structure KPI-based datasets with statistical rigor, identify trends and operational limits, evaluate thermal or transport constraints, and quantify uncertainty to deliver robust insights from experimental results.

Model Validation & Risk Identification: You compare model predictions with experimental outcomes, identify calibration gaps and model assumptions needing refinement, diagnose deviations, and propose targeted improvements while contributing to standardized validation workflows.

Cross-Functional Technical Alignment: You work closely with Process Development and Te...