Post Doc Research Fellow Lab

Postdoctoral Research Associate - AI Catalysis About the Opportunity Job Summary Under the direction of the Principal Investigator, the Postdoctoral Research Associate designs and conducts experimental heterogeneous-catalysis research within autonomous, closed-loop ('self-driving') laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications. The position contributes to scholarly publications, sponsored-research deliverables, and the training of graduate and undergraduate researchers.

Minimum Qualifications Required PhD in Chemical Engineering, Chemistry, Materials Science, or a closely related field

Knowledge of heterogeneous catalysis, reaction kinetics, thermodynamics, and structure-reactivity relationships

Proficiency in Python programming

Ability to apply machine-learning methods to scientific data

Develop and run closed-loop autonomous workflows that couple automated synthesis, high-throughput screening, and online/in situ characterization with active-learning and Bayesian-optimization pipelines to guide experiment selection

Build agentic artificial intelligence (AI) workflows and FAIR experimental data infrastructure for instrument orchestration, automated data curation, and autonomous hypothesis generation linking synthesis, characterization, and performance

Analyze experimental and characterization data to extract structure-reactivity relationships and connect empirical findings to mechanistic and kinetic interpretation

Disseminate results through peer-reviewed publications and presentations, contribute to proposals and reports, and help mentor graduate and undergraduate researchers and steward shared instrumentation

Required Documents Resume

Position Type Research

Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role.