About the Opportunity

Job Summary:

The Lopez Group at Northeastern University is seeking a postdoctoral researcher with experience in machine learning and organic chemistry to join a collaborative project focused on sustainable polymer synthesis from CO₂. The researcher will develop and apply computational and AI-based methods, including high-throughput quantum chemistry and machine learning, to guide the design of metal-free cyclopropenimine catalysts, substrates, and reaction conditions for the synthesis of polyurethanes and polycarbonates.

Qualifications:

Candidates should have a Ph.D. in chemistry or a related field, strong programming and machine-learning skills, and a solid foundation in organic or physical organic chemistry. Experience in computational chemistry, cheminformatics, catalyst design, or polymer chemistry is highly desirable. 

Position Type

Additional Information

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

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.

Compensation Grade/Pay Type:

Expected Hiring Range:

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. Salary ranges are reviewed regularly and are subject to change.