Senior ML Catalyst Engineer (CO2 Conversion & Automation)

BERKELEY EDUCATION ALLIANCE FOR RESEARCH IN SINGAPORE LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

BERKELEY EDUCATION ALLIANCE FOR RESEARCH IN SINGAPORE LIMITED (BEARS) is seeking a motivated researcher to advance ML-driven discovery and optimization of catalytic performance for CO2 conversion. You will collaborate with NTU and A*STAR ISCE2 to push decarbonization research.

The role involves developing ML algorithms, participating in lab automation, and contributing to material development for catalytic processes across thermal, electro-, and plasma catalysis.

Qualifications

• 1–2 years of relevant work experience in chemistry, chemical engineering, materials, or physics.
• Experience with Process Engineering & Modelling programs such as Aspen HYSYS and ALOHA, and programming languages including MATLAB, Python, C, HTML, SQL, and Excel VBA.
• Knowledge of analytical methods and materials characterization (XRD, UV-Vis, NMR, FTIR).
• Independent, diligent, and professional with a positive work attitude.

Responsibilities

• Develop and apply ML algorithms for discovery and optimization of catalytic performance.
• Participate in lab automation projects with other researchers.
• Contribute to ideation and development of new catalytic materials for CO2/CO conversion.
• Prepare and characterize catalysts; participate in data analysis and interpretation.
• Run catalyst reactions in various reactors for thermal catalysis, electrocatalysis, and plasma catalysis.
• Document test records and reports; assist with technology disclosure and publications.
• Ensure adherence to safety policies and compliance requirements.
• Communicate effectively with stakeholders and team members.

Skills

ML algorithms

Lab automation

Data analysis

Catalysis

Education

Bachelor's or Master's in Chemistry/Chemical Engineering/Materials/Physics

Tools

Aspen HYSYS

ALOHA

MATLAB

Python

C

HTML

SQL

Excel VBA

Job description

BERKELEY EDUCATION ALLIANCE FOR RESEARCH IN SINGAPORE LIMITED (BEARS) is seeking a motivated researcher to advance ML-driven discovery and optimization of catalytic performance for CO2 conversion. You will collaborate with NTU and A*STAR ISCE2 to push decarbonization research.

The role involves developing ML algorithms, participating in lab automation, and contributing to material development for catalytic processes across thermal, electro-, and plasma catalysis.