Postdoctoral Position in Process Optimization: The Coley Research Group at MIT is seeking a motivated and experienced postdoctoral researcher to join our team for a two-year funded position focusing on AI-enabled synthesis and process optimization. This role involves collaboration with industry partners and aims to enhance data-driven synthesis planning methodologies.
Postdoctoral Position in AI-Enabled Synthesis and Process Optimization
Designation: Postdoctoral Researcher
Research Area:
- AI-Enabled Synthesis and Process Optimization
- Cheminformatics
- Machine Learning
- Synthetic Organic Chemistry
Location: Massachusetts Institute of Technology (MIT), Cambridge, MA
Eligibility/Qualification:
- PhD in Chemistry, Chemical Engineering, Computer Science, or related field
- Experience in cheminformatics and computer-aided synthesis planning
- Proficiency in machine learning techniques
- Strong understanding of process chemistry
Job Description:
- Conduct research focused on tailoring retrosynthesis tools for process development and route selection.
- Involve knowledge extraction from scientific literature and develop quantitative scorecards for pathway ranking.
- Design models and heuristics for estimating synthesis criteria.
- Collaborate closely with industry partner Sanofi on relevant projects.
- Engage in ongoing research threads related to generative reaction mechanism prediction and tandem mass spectra prediction.
How to Apply:
Interested candidates should email their CV along with a brief statement of research interests, professional goals, and specific objectives they hope to achieve while working in the group to ccoley@mit.edu. If applicable, please mention any independent funding.
Last Date to Apply: Applications are accepted on a rolling basis. Please apply promptly as the position will remain open until filled.
