Postdoctoral Researcher in Carbon Capture Modeling (Research, Remote)

Job summary

Seeking a motivated Postdoctoral Researcher to engage in a project focused on advanced methodologies for amine-based CO₂ capture systems, integrating thermodynamic modeling with process systems engineering and data-driven approaches.

Qualifications

• PhD degree or equivalent in a relevant field.
• Strong background in applied thermodynamics and/or process systems engineering.
• Solid foundation in mathematics, particularly linear algebra, numerical methods, or dynamical systems.
• Proven research track record with peer-reviewed publications.
• Experience with programming (e.g., MATLAB, Python) and process simulation tools.

Responsibilities

• Develop thermodynamic and process models for CO₂ capture systems.
• Analyze system dynamics, stability, and transient behavior of absorption processes.
• Apply mathematical and computational methods, including linear algebra and dynamical systems theory.
• Integrate physics-based models with machine learning approaches.
• Implement simulation tools (e.g., MATLAB, Python, Aspen Plus, Aspen Dynamics).
• Collaborate with experimental and industrial partners.
• Contribute to scientific publications and project reporting.

Skills

• Experience with modeling of dynamical systems, process control, or system analysis.
• Familiarity with CO₂ capture and amine-based absorption systems is advantageous.
• Knowledge of control theory or stability analysis of engineering systems is a plus.
• Experience with machine learning or data-driven modeling is beneficial.
• Understanding of multiphysics or multiscale modeling is a plus.

Tools

• MATLAB, Python, Aspen Plus, Aspen Dynamics, or similar platforms.

Education

• A PhD degree (or equivalent) is required.