Positions

If you might be interested in joining us, please take a look at our group guide for information about our values and my attitude toward research and mentorship.

Interested postdocs should inquire directly at ccoley@mit.edu with a CV and a brief statement of your research interests and background. Graduate students should apply directly to the MIT Department of Chemical Engineering or the Department of Electrical Engineering and Computer Science (note: fee waivers are available through the Dean of Engineering). We also have had students join from the Computational Science and Engineering program and the Computational and Systems Biology program. As a general rule, I plan to recruit at least two PhD students annually; the exact projects will vary and should reflect our mutual interests and funding, but for 2022-2023, topics of particular interest include the application of machine learning techniques to synthetic chemistry in terms of multi-step synthesis planning, representation learning, and reaction discovery.

Undergraduate students looking for research opportunities for pay or credit can also email ccoley@mit.edu with their interests and any relevant coursework or research experience.

(multiple) Postdoctoral associate, Research scientist, or Software developer to work on software to support the operation of an autonomous synthetic lab: We are looking for multiple researchers to work on developing informatics solution to plan, predict, and execute multi-step chemical syntheses. Fluency with Python is required. An understanding of cheminformatics workflows (including computer-aided synthesis planning), software development workflows involving GitHub, and basic web development are all positive factors but not essential for each researcher to have individually. At least basic familiarity with chemical synthesis and laboratory automation workflows may be helpful. Eagerness to collaborate with external researchers is important. This is expected to be a two-year project.

Postdoctoral associate in computer-aided process chemistry: We are looking for a postdoctoral associate to work on topics related to predictive chemistry for process chemistry applications, including the anticipation and elucidation of impurities. Knowledge of process chemistry considerations and experience with basic cheminformatics, computational chemistry, or machine learning strongly preferred. Comfort/fluency with Python required.

Software developer for the MLPDS consortium: We are looking for a full-stack software developer to help maintain and improve the molecular software tools developed within the Machine Learning for Pharmaceutical Discovery and Synthesis consortium. Please reach out directly to Connor and apply to the posting here.