Postdoc: AI-Driven Biomolecular Simulation for Proteins

CHARMM-GUI; Lansing (MI); On-site; USD 50,000 - 70,000; Full time

Job summary

A research collaboration team at Michigan State University seeks up to 4 postdoctoral research associates to apply molecular simulation and mathematical methods to develop predictive tools. Candidates should have experience in machine learning and deep learning modeling of biomolecular systems, along with a relevant doctorate. Ideal candidates are proficient in Python and familiar with Unix-based operating systems. Competitive compensation and a stimulating research environment provided.

Qualifications

• Publication record commensurate with career stage and field.
• Relevant prior research experience in AI/ML methods or running simulations at scale.

Responsibilities

• Apply molecular simulation and mathematical methods.
• Extend and develop predictive tools into a broadly usable pipeline.
• Interact with high-performance computing environments.

Skills

Machine learning

Deep learning

Bioinformatics

Programming in Python

Linux operating systems

Education

Doctorate in Biophysics, Biochemistry, Physics, Computer Science, Mathematics, Chemical Engineering, or a related field

Tools

Numpy

Scipy

Pandas

Pytorch

Matplotlib

VMD

NAMD

CHARMM

OpenMM

AMBER

GROMACS

Job description

A research collaboration team at Michigan State University seeks up to 4 postdoctoral research associates to apply molecular simulation and mathematical methods to develop predictive tools. Candidates should have experience in machine learning and deep learning modeling of biomolecular systems, along with a relevant doctorate. Ideal candidates are proficient in Python and familiar with Unix-based operating systems. Competitive compensation and a stimulating research environment provided.