Chemical Process Modeling Researcher

Carbon Clean is seeking a Chemical Process Modeling Researcher in Mumbai, India. The role involves developing and validating custom models for CO2 capture processes, thermodynamics, and property models. Candidates should have a Ph.D. in Chemical Engineering and relevant experience in modeling and programming. The position offers hybrid work flexibility, allowing up to 3 days of remote work per week, along with competitive benefits and a commitment to diversity and inclusion.
Description

Key Responsibilities and Outcomes
• Building and owning the development of custom models for reaction processes and building blocks in Carbon Clean’s CO2 capture processes, validating models using field and bench-scale data, and continuously improving models to improve predictions.
• Building and owning the development of thermodynamics (phase-equilibria) models, property models, degradation models, validating models using lab data, and continuously improving models to improve predictions.
• Evaluating different modeling platforms and developing new approaches to improve accuracy of model predictions.
• Supporting new idea generation, de-risking novel process concepts, and pilot/process-scale troubleshooting activities.
• Proactively preparing simulation plans in support of project goals and performing post-processing and data analysis using your knowledge of reaction engineering and thermodynamics.
• Preparing figures, reports, and presentations to document project results. Presenting these results regularly to internal and external stakeholders.
• To develop and maintain expertise in the company’s core technologies through reading literature and attending conferences and webinars.

Requirements
• Ph.D. in Chemical Engineering or related discipline with relevant thesis work + minimum 2 years of relevant research experience in an industrial setting (3-4 years preferred).

Demonstrated experience (3-4 years) with:
• Developing and applying multi-scale models of process units including reactive mass transfer unit operations, rotating packed beds, packed columns, scrubbing vessels, etc.
• Building, solving, and optimizing robust kinetic models which incorporate fundamental process chemistry.
• Software packages: Aspen Plus, gPROMS, AVEVA process modeler or similar.
• Programming languages: Python, MATLAB
• Using off-the-shelf optimizers to fit models to experimental data (example: HEEDS, SciPy, Pyomo).
• 3-4 years of experience with writing custom rate-based process blocks using Aspen Custom Modeler or gPROMS in an industrial R&D setting.
• Solid understanding of chemical engineering fundamentals, dimensionless groups, and development of heat transfer and mass transfer correlations from experiments.
• Established track-record of generating novel IP related to process research.
• Demonstrated experience with project leadership and technical mentoring in an industrial R&D setting.
• Willingness to work and collaborate with a global team in the UK and US time-zones.
• Excellent written and oral communication and problem-solving skills. Being self-motivated and self-reliant

Benefits
• Hybrid working – with the flexibility to work from home for up to 3 days a week
• 24 days holiday per year plus 10 gazette public holidays

Everyone belongs at Carbon Clean

We are passionate and committed to our people. Our aim is to build a diverse and inclusive movement: teams of forward-thinking people, with unique talents, skills, passions, and experiences. It’s talent that matters to us and we encourage everyone to join us, whatever your gender identity, race, ethnicity, sexual orientation, age, life experience, or background. So please come as you are – we can’t wait to meet you.

We’d be thrilled if you tick off all our boxes yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!