Research Engineer / Senior Research Engineer

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

Job Summary

We are looking for motivated, self-driven candidates to join a dynamic and highly collaborative team of scientists and engineers at BEARS (The Berkeley Education Alliance for Research in Singapore - a University of California center for research, graduate education, and innovation at Campus for Research Excellence and Technological Enterprise (CREATE)). The researcher will work closely with Prof. Kedar Hippalgaonkar (NTU) and Dr. Amol Amrute (A*STAR ISCE2). The successful candidate will contribute to research and development work in Machine learning (ML) and automation for catalysis research for decarbonization(CO2 conversion). Candidates with more extensive experience and specialized technical expertise may be evaluated for appointment at the Senior Research Engineer level.

Duties & Responsibilities

• Contribute to developing and applying ML algorithms for the discovery and optimization of catalytic performance.
• Participate in Lab automation projects together with other researchers.
• Contribute to the ideation and development of new catalytic materials for the conversion of small molecules to valuable chemicals and fuels, including CO2/CO conversion.
• Prepare and characterize catalysts and participate in data analysis and interpretation.
• Run catalyst reactions in various types of reactors for thermal catalysis (major), electrocatalysis, and plasma catalysis.
• Document and maintain accurate test records and reports, prepare documents for technology disclosure, patent filing, and research publications.
• Ensure adherence to departmental policies, safety guidelines, and compliance requirements.
• Communicate effectively with internal stakeholders and team members.

Candidate with Requirements

• 1 -2 years of relevant work experiences, with strong background in chemistry, chemical engineering, and/or material science, preferably with Bachelor's or Master's Degree in Chemistry, Chemical Engineering, Materials, or Physics.
• Knowledge and/or experience of using Process Engineering & Modelling programs such as Aspen HYSYS, ALOHA, and programming languages such as MATLAB, Python, C, HTML, SQL, and Excel VBA
• Knowledge and/or experience in analytical methods, chemical and materials characterization, such as XRD, UV-Vis, NMR, FTIR.
• Independent, diligent, professional, and demonstrating a positive work attitude.