Karen I. Winey
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Postdoctoral Research Associate in Molecular Dynamics Simulations and Ion Transport in Polymers University of Pennsylvania in United States
Degree Level
Postdoc
Field of study
Chemistry
Funding
This is a funded postdoctoral research position supported by a DOE-BES project. No specific stipend amount or detailed funding information is provided, but the position is fully funded as a standard postdoctoral appointment at the University of Pennsylvania.
Deadline
Feb 28, 2026
Country
United States
University
University of Pennsylvania

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About this position
The University of Pennsylvania, in collaboration with Sandia National Laboratories, invites applications for a postdoctoral research associate position focused on molecular dynamics simulations and modeling of ion transport in hydrated ionic polymers. The project, led by Prof. Karen I. Winey and Dr. Amalie Frischknecht, is funded by the DOE-BES and aims to understand mechanisms of ion transport in both anionic and cationic polymers. The research involves synthesizing polymers, investigating morphology and ion dynamics through experimental and computational methods, and correlating simulated and experimental morphologies with transport properties using statistical methods and machine learning/artificial intelligence.
The successful candidate will join a collaborative team including faculty, national lab staff, postdoctoral researchers, and graduate students from four institutions. The position is based at the University of Pennsylvania in the Winey group, with joint supervision from Dr. Frischknecht at Sandia National Laboratories. The research team also includes Prof. Mike Hickner (Michigan State University) and Prof. Justin Kennemur (Florida State University), providing a stimulating and supportive environment for postdoctoral research.
Applicants should hold a PhD in chemical engineering, materials science, physics, chemistry, or a related field, with a strong record in computational science. Experience with molecular dynamics simulations, machine learning/AI, and polymer science is advantageous but not required. The team values good communication skills, teamwork, and encourages applications from underrepresented groups in STEM.
The position is fully funded, with a flexible start date (preferably spring/summer 2026). To apply, candidates should send a cover letter, CV, and up to two publications in a single PDF to Dr. Amalie Frischknecht ([email protected]) by February 28, 2026. For more information, applicants are welcome to reach out directly.
Funding details
This is a funded postdoctoral research position supported by a DOE-BES project. No specific stipend amount or detailed funding information is provided, but the position is fully funded as a standard postdoctoral appointment at the University of Pennsylvania.
What's required
Candidates must have a PhD in chemical engineering, materials science, physics, chemistry, or another relevant discipline. They should have a successful record in computational science and a desire to develop innovative research advances. Good communication skills and the ability to work within a collaborative research team are essential. Prior experience with molecular dynamics simulations, machine learning/artificial intelligence, and knowledge of polymer science are useful but not required. The research team encourages applicants from underrepresented groups.
How to apply
Send a cover letter, CV, and up to two publications combined into a single PDF file directly to Amalie Frischknecht ([email protected]) by February 28, 2026. Start date is flexible but preferably in spring/summer 2026. Requests for additional information are welcome.
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