Postdoc: Computational Biophysics & ML Discovery

CHARMM-GUI; Amherst (MA); On-site; USD 55,000 - 70,000; Full time

Job summary

CHARMM-GUI at the University of Massachusetts Amherst invites applications for postdoctoral positions in computational biophysics and machine learning. Successful candidates will work on molecular simulations, method development, and data-driven approaches.

Applicants should hold a Ph.D. in chemistry, physics, or a related field, with strong computational and publication records. Initial appointments are for one year with renewal possible; salary is competitive and NIH/UMass guidelines followed.

Qualifications

• PhD in chemistry, physics, or a related field with strong publication record in computational biophysics.
• Experience in scientific computing and statistical mechanics is essential.
• Excellent communication and ability to work in a team are highly valued.

Responsibilities

• Conduct computational biophysics research, including method development and machine learning applications.
• Engage in biomolecular modeling and analysis of biomolecules.
• Collaborate with experimentalists and publish findings in peer-reviewed journals.

Skills

Computational Biophysics

Machine Learning

Scientific Computing

Biomolecular Modeling

Publications

Education

PhD in Chemistry or Physics

Tools

Python

ML Frameworks

Job description

CHARMM-GUI at the University of Massachusetts Amherst invites applications for postdoctoral positions in computational biophysics and machine learning. Successful candidates will work on molecular simulations, method development, and data-driven approaches.

Applicants should hold a Ph.D. in chemistry, physics, or a related field, with strong computational and publication records. Initial appointments are for one year with renewal possible; salary is competitive and NIH/UMass guidelines followed.