About the role

R&D Engineer focusing on developing models for reaction processes at Carbon Clean. Engaging with stakeholders and driving process innovation in a hybrid role based in Navi Mumbai.

Responsibilities

Build and own the development of custom models for reaction processes and building blocks in Carbon Clean’s CO2 capture processes, validate models using field and bench-scale data, and continuously improve models to improve predictions.
Build and own the development of thermodynamics (phase-equilibria) models, property models, degradation models, validating models using lab data, and continuously better models to improve predictions.
Evaluate different modeling platforms and develop new approaches to improve accuracy of model predictions.
Support new idea generation, de-risk novel process concepts, and pilot/process-scale troubleshooting activities.
Proactively prepare simulation plans in support of project goals and perform post-processing and data analysis using your knowledge of reaction engineering and thermodynamics.
Prepare figures, reports, and presentations to document project results. Present these results regularly to internal and external stakeholders.
Develop and maintain expertise in the company’s core technologies through reading literature and attending conferences and webinars.

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 Simulation 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.