Research Engineer (AI for Porous Materials)
Job Description
- Apply AI/ML models and screening algorithms for the accelerated design and structural discovery of novel porous materials (e.g., MOFs/COFs);
- Conduct laboratory synthesis, activation, and optimization of the computationally predicted porous frameworks;
- Evaluate CO2 capture performance through experimental gas adsorption isotherms and breakthrough separation testing;
- Manage data pipelines between computational and experimental workflows to support closed-loop project deliverables.
Qualifications
- Bachelor’s or Master’s degree in Chemical Engineering, Materials Science, Chemistry, or computational disciplines with relevant research experience;
- Practical experience in programming (e.g., Python) and applying AI frameworks or molecular simulations to materials discovery;
- Hands-on experience in the synthesis and characterization of porous materials using techniques like PXRD, BET, and TGA;
- Solid understanding of gas adsorption fundamentals and execution of gas separation performance evaluations.
Find Your Best Opportunity
Tell them AcademicJobs.com sent you!
