The Sterling Group at the University of Texas at Dallas is seeking a postdoctoral researcher to explore polymer reactivity. Our research program integrates computational modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to drive innovation across chemistry, biochemistry, materials science, and pharmaceutical research. We work closely with synthetic chemists to investigate reaction mechanisms, with an emphasis on catalysis, molecular editing, and polymer upcycling.
Preferred Education and Experience:
- Ph.D. in Chemistry, Chemical Engineering, Materials Science, or a closely related field.
- Experience in molecular dynamics simulations, applicable to either biomolecules or materials science.
- Programming experience (e.g., Python), with a strong background in developing and applying computational tools in research.
- Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations.
- Experience with machine learning techniques, particularly machine learning potentials, in the context of chemical research.
- Previous work or interest in sustainability, recycling technologies, or polymer science.
Essential Duties and Responsibilities:
- Plan and execute computational studies to probe reaction mechanisms related to polymers.
- Collaborate as part of an interdisciplinary team to design experiments and validate computational models.
- Prepare reports and present findings at national and international conferences.
- Write manuscripts for publication in peer-reviewed journals.
- Mentor graduate students and assist with the setup of the research group.
For more information and to apply visit https://jobs.utdallas.edu/postings/26587