Computational Thermodynamics Scientist (ML & EoS)

Riven Systems; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Riven Systems seeks a Computational Chemist to translate thermodynamic first-principles into high-fidelity industrial predictions. You will collaborate with hydrometallurgy, process modeling, ML, and autonomous experimentation teams to build accurate thermodynamic models.

The role welcomes interdisciplinary backgrounds as we build a lean, early-stage team that thrives on exploration and rigorous scientific practice.

Qualifications

• Ph.D. in a related field or equivalent industry experience.
• Deep experience with thermodynamics modeling frameworks and tradeoffs.
• Experience regressing thermodynamic parameters against experimental data.

Responsibilities

• Own thermodynamic description of aqueous electrolyte and mineral systems.
• Design a multi-framework modeling architecture integrating ML and EoS methods.
• Build automated pipeline for regressing thermodynamic parameters from data.
• Develop DOE approaches to guide automated lab experiments.
• Connect thermodynamics into multi-scale process models.

Skills

Thermodynamics

Data regression

Interdisciplinary communication

Software architecture

Education

Ph.D. in Chemistry/Engineering/Geochemistry

Job description

Riven Systems seeks a Computational Chemist to translate thermodynamic first-principles into high-fidelity industrial predictions. You will collaborate with hydrometallurgy, process modeling, ML, and autonomous experimentation teams to build accurate thermodynamic models.

The role welcomes interdisciplinary backgrounds as we build a lean, early-stage team that thrives on exploration and rigorous scientific practice.