Postdoctoral Positions in Computational Biophysics/Machine Learning

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 is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest. - M. Karplus

Postdoctoral Positions in Computational Biophysics/Machine Learning

Date

2027-02-01

Location

University Massachusetts, Amherst

Description

At least one postdoctoral Research Associate position in the general area of Computational Biophysics is available in the University of Massachusetts Amherst Institute of Applied Life Sciences (IALS), a fast-growing enterprise dedicated to developing the next generation of life science products and technologies to improve human health. The candidate will be able to work on a range of areas including:

• Computational method development, particulary coarse grained modeling of biomolecules
• Intrinsically disordered proteins (e.g., structure, interaction, phase transition, drug)
• RNA and DNA structure dynamics and phase transitions
• Physics-inspired machine-learning methods (e.g., mutational effect prediction, generative modeling of protein dynamics, design of artificial protein-binding polymers)
• Structure and function of complex biomacromolecules such as ion channels

For more information on our current research interests and topics, please refer to our group website: http://people.chem.umass.edu/jchenlab.

The candidate should have a Ph.D. in chemistry, physics, or a related field, withe extensive experience and strong publication record in computational biophysics (including machine learning). Successful applicants should also have strong background in scientific computing and statistical mechanics, and display excellent general understanding of biophysics, biomolecular modeling and machine learning. An ideal candidate would also display a strong passion for science, and the ability and desire to work both independently and as part of a team. We work closely with experimental collaborators in many projects and thus good communication skills will be a strong plus.

Initial appointments will be for one year with the possibility of renewal for at least three years. The salary will be competitive and follow NIH and UMass guidelines.

UMass Amherst is the Commonwealth's flagship campus and a top-30 public research university. It is located in Amherst, Massachusetts, sits on nearly 1,450-acres in the scenic Pioneer Valley (AKA: Happy Valley) of Western Massachusetts, 90 miles from Boston and 175 miles from New York City. The campus provides a rich cultural environment in a rural setting close to major urban centers.

University of Massachusetts is an EOE of individuals with disabilities and protected veterans. Background check required.

University of Massachusetts actively seeks diversity among its employees.