Thermodynamics Modeling Innovator

OLI

Parsippany-Troy Hills (NJ)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Groundbreaking team
Collaborative environment
Competitive compensation

Job summary

OLI Systems in Parsippany, NJ seeks a Thermodynamic Model Developer to advance high-fidelity thermodynamic and transport models for industrial chemical simulations. You will work within our Research and Database team to push the boundaries of electrolyte chemistry, interfacial phenomena, and corrosion predictions.

The ideal candidate holds a PhD in chemical engineering or related field, has strong programming and modeling skills, and can lead projects, collaborate with clients, and contribute to

Qualifications

  • Doctoral-level training in chemical engineering or related field.
  • Proven research in thermodynamics and properties of electrolyte or electrochemical systems.
  • Experience in solving phase and chemical equilibrium problems with EOS models.
  • Strong fundamentals-based modeling and reactor/separation design knowledge.

Responsibilities

  • Advance thermodynamic, transport, and interfacial models for high fidelity simulations.
  • Provide technical leadership for project Portfolio development and strategy.
  • Customize and parameterize models for industrial systems (oil&gas, metals, water treatment).
  • Collaborate with clients to meet simulation needs and interpret results.
  • Work cross-functionally with researchers, process engineers, and software developers.
  • Engage with universities and national labs on joint studies for sustainability.

Skills

C++
Python
MATLAB
Fortran
Numerical methods
AI/ML
Transport modeling

Education

PhD in Chemical Engineering
Postdoctoral experience

Tools

APSEN
HYSYS
Pro-II
OLI

Job description

OLI Systems in Parsippany, NJ seeks a Thermodynamic Model Developer to advance high-fidelity thermodynamic and transport models for industrial chemical simulations. You will work within our Research and Database team to push the boundaries of electrolyte chemistry, interfacial phenomena, and corrosion predictions.

The ideal candidate holds a PhD in chemical engineering or related field, has strong programming and modeling skills, and can lead projects, collaborate with clients, and contribute to

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