Lead Thermodynamics Model Developer

Oli; Littleton (NJ); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive pay

Collaborative environment

Incentives package

Job summary

OLI Systems is seeking a Thermodynamic Model Developer in Parsippany, NJ to advance thermodynamic, transport, and interfacial models for high-fidelity predictions in our software platform. You will lead project initiatives, collaborate with researchers and clients, and shape model development strategy.

The role requires a PhD with strong fundamentals in thermodynamics, ionics, and reaction kinetics, plus experience in multi-physics simulations and data-driven methods.

Qualifications

• PhD in Chemical Engineering, Physical Chemistry, Materials Science, or related field.
• Postdoctoral experience in academia or industry preferred.
• Proven research expertise in thermodynamics and physical properties of electrolyte/non-electrolyte systems or electrochemical corrosion modeling.

Responsibilities

• Advance thermodynamic, transport, and interfacial models to achieve high fidelity in predicting behavior within OLI’s software.
• Provide technical leadership to guide project portfolio development and alignment with industry needs.
• Tailor and optimize models for industrial systems in sectors like oil & gas, metals & mining, power, and water treatment.

Skills

Numerical methods

Modeling

Regression analysis

Data interpretation

AI/ML concepts

Education

PhD in Chemical Engineering / Physical Chemistry / Materials Science

Postdoctoral experience preferred

Tools

C++

Python

MATLAB

Fortran

APSEN

HYSYS

Pro-II

OLI

Job description

OLI Systems is seeking a Thermodynamic Model Developer in Parsippany, NJ to advance thermodynamic, transport, and interfacial models for high-fidelity predictions in our software platform. You will lead project initiatives, collaborate with researchers and clients, and shape model development strategy.

The role requires a PhD with strong fundamentals in thermodynamics, ionics, and reaction kinetics, plus experience in multi-physics simulations and data-driven methods.