About this role
A Postdoctoral Associate position in Catalysis/Polymer Chemistry is available for graduates to work on the Topological Performance Polymers project led by Dr. Adam S. Veige in the University of Florida Chemistry Department. The role focuses on synthesis and characterization of cyclic polymers using novel catalysts discovered in the Veige group. Candidates will benefit from a vibrant academic setting.
The Postdoctoral Associate will conduct synthesis of cyclic polymers employing innovative catalysts from the Veige group. Characterization techniques will be applied to evaluate polymer properties. Daily tasks center on advancing topological performance polymers through hands-on experimentation.
Work closely with DPI scientists and collaborators at the UniNa Laboratory of Stereoselective Polymerizations high-throughput catalysis facility. Enjoy industrial-sponsored funding, access to outstanding resources and technology platforms, and strong computational support. Thrive in a friendly, collaborative, and interdisciplinary group environment.
The position starts with one year, renewable up to one more year based on performance, conduct, and funding. UF ranks highly among public universities with extensive resources. Gainesville offers year-round outdoor activities and cultural events.
Requirements
- Ph.D. in Chemistry or closely related field
- Experience in catalysis or polymer chemistry
- Experience with organometallic chemistry
- Experience with polymer synthesis
- Experience with catalysis
Responsibilities
- Synthesize cyclic polymers using novel catalysts discovered in the Veige group
- Characterize cyclic polymers
- Work on the Topological Performance Polymers project
- Collaborate with DPI scientists
- Interact with collaborators at UniNa Laboratory of Stereoselective Polymerizations LSP
- Utilize high-throughput catalysis facility
- Advance catalyst development for polymer applications
Benefits
- Full benefits package
- Industrial-sponsored funding
- Access to outstanding resources and technology platforms
- Strong computational support
- Collaborative interdisciplinary group
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