ACS
Overview
The Postdoctoral Research Scientist performs computational research, software development, and data processing to support research and development of new lanthanide and actinide separation methods by using a combination of machine learning, atomistic simulation, and automated experimentation under the supervision of Prof. Joshua Schrier.
Work at Fordham focuses on computational research, specifically machine learning/AI aspects of extracting design and experimental optimization in close collaboration with researchers at Los Alamos National Laboratory. Work at Fordham also includes the maintenance and continued development of the SAFE database (https://safe.lanl.gov), an emerging international resource for sharing data in the field.
A recent visitor to our laboratory described the problem, our work on the SAFE database, and our research on agentic AI: https://substack.taosresearch.ai/p/ai-agents-in-the-lab-the-quest-to
About Fordham Founded in 1841, Fordham is the Jesuit University of New York, offering an exceptional education distinguished by the Jesuit tradition to more than 16,000 students in its 9 colleges and schools. It has residential campuses in the Bronx and Manhattan, a campus in West Harrison, N.Y., the Louis Calder Center Biological Field Station in Armonk, N.Y., and the London Centre in the United Kingdom.
Fordham University is committed to excellence through diversity and welcomes candidates of all backgrounds.
Fordham is an Equal Opportunity Employer – Veterans/Disabled and other protected categories
Required Qualifications: Education and Experience Ph.D. or equivalent degree/experience in Chemistry, Chemical Engineering, Materials Science, or related field (ABD or upcoming graduation is permitted).
Required Qualifications: Knowledge and Skills
Experience in scientific computer programming is necessary.
Excellent communication and project management skills.
Ability to apply research methodologies and write reports.
Ability to work collaboratively.
Preferred Qualifications
Experience in Python.
Experience with machine learning methods for chemistry is highly desirable.
Experience with molecular simulations / quantum chemistry is highly desirable.
Experience with SQL and Flask for web database development is highly desirable.
Experience with f-element chemistry and/or separation science is highly desirable.
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Work at Fordham focuses on computational research, specifically machine learning/AI aspects of extracting design and experimental optimization in close collaboration with researchers at Los Alamos National Laboratory. Work at Fordham also includes the maintenance and continued development of the SAFE database (https://safe.lanl.gov), an emerging international resource for sharing data in the field.
A recent visitor to our laboratory described the problem, our work on the SAFE database, and our research on agentic AI: https://substack.taosresearch.ai/p/ai-agents-in-the-lab-the-quest-to
About Fordham Founded in 1841, Fordham is the Jesuit University of New York, offering an exceptional education distinguished by the Jesuit tradition to more than 16,000 students in its 9 colleges and schools. It has residential campuses in the Bronx and Manhattan, a campus in West Harrison, N.Y., the Louis Calder Center Biological Field Station in Armonk, N.Y., and the London Centre in the United Kingdom.
Fordham University is committed to excellence through diversity and welcomes candidates of all backgrounds.
Fordham is an Equal Opportunity Employer – Veterans/Disabled and other protected categories
Required Qualifications: Education and Experience Ph.D. or equivalent degree/experience in Chemistry, Chemical Engineering, Materials Science, or related field (ABD or upcoming graduation is permitted).
Required Qualifications: Knowledge and Skills
Experience in scientific computer programming is necessary.
Excellent communication and project management skills.
Ability to apply research methodologies and write reports.
Ability to work collaboratively.
Preferred Qualifications
Experience in Python.
Experience with machine learning methods for chemistry is highly desirable.
Experience with molecular simulations / quantum chemistry is highly desirable.
Experience with SQL and Flask for web database development is highly desirable.
Experience with f-element chemistry and/or separation science is highly desirable.
#J-18808-Ljbffr