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Simulation Engineer – Chemical and Materials Specialist
| Company | PhysicsX |
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| Location | New York, NY, USA |
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| Salary | $120000 – $240000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level |
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Requirements
- Expertise in the chemical processing and materials science industries
- Strong understanding of chemical kinetics, thermodynamics, and transport phenomena
- Experience in developing chemistry, chemical processing, and or materials science simulations
- Experience with multiphase simulations and reacting flows
- Deep knowledge in at least one of: applied/industrial chemistry, chemical engineering or materials science
- Ability to scope and effectively deliver projects
- Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
- Excellent collaboration and communication skills – with teams and customers alike
- 2-4 years’ experience in an applied research or industrial role
- Setup and solving of complex chemical and materials problems
Responsibilities
- Bring subject matter expertise in one or more of the fields of applied/industrial chemistry, chemical processing, and materials science
- Work closely with our simulation experts, data scientists, machine learning engineers and clients to develop an understanding of the chemical and materials challenges that we can solve and accelerate
- Setup, run and evaluate models to simulate and understand complex real world phenomena, using commercial simulation packages and Python code (we would consider applicants more familiar with compiled languages, such as Java or C++)
- Research and apply state-of-the art approaches to integrating chemical and materials simulations into our client offering
- Use on premise HPC and cloud resources to accelerate high fidelity models
- Own the delivery of technical work streams
- Work at the intersection of modelling and data science, generating highly accurate results and predictions in conjunction with advanced machine & deep learning models
- Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption
Preferred Qualifications
- Enthusiasm about using Computational Chemistry, Computational Fluid Dynamics, and other multi-physics numerical methods for science and engineering
- Keen interest in data science and machine learning approaches, and, ideally, experience in this area
- Ideally advanced Python coding skills
- Expertise in model correlation and real-world validation
