Computational Soft Matter Researcher

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 290,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Computational Soft Matter Researcher to model macromolecules and analyze their behavior across scales, leveraging MD, coarse-graining, enhanced sampling, statistics, and machine learning. You will collaborate with analysts, scientists, and engineers on DoD and government projects.

Applicants should hold a PhD in a relevant field, have 3+ years of physics-based simulations experience, and be able to communicate effectively

Qualifications

• PhD in a relevant engineering or science field with complex-question experience.
• 3+ years performing physics-based simulations of macromolecules.
• Ability to work independently and in multidisciplinary teams.
• Strong communication with experimental colleagues.
• Willingness to travel occasionally and work in restricted facilities.
• Eligible for U.S. citizenship and security clearance.

Responsibilities

• Develop models of macromolecules to relate structure and function across scales.
• Analyze macromolecular properties including structural and thermodynamic aspects.
• Use methods like molecular dynamics, coarse-graining, enhanced sampling, and ML.
• Collaborate with analysts, scientists, and engineers daily.
• Propose future projects and communicate results through reports and presentations.
• Craft results for government partners and internal teams.

Skills

Macromolecule modeling

Molecular dynamics

Machine learning

Collaborative teamwork

Scientific programming

Communication skills

Travel readiness

Education

Ph.D. in Biochemical Engineering

Ph.D. in Chemical Engineering

Ph.D. in Mechanical Engineering

Ph.D. in Physics/Applied Mathematics

Tools

MATLAB

C/C++

Python

FORTRAN

MPI/OpenMP

GPUs

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Computational Soft Matter Researcher to model macromolecules and analyze their behavior across scales, leveraging MD, coarse-graining, enhanced sampling, statistics, and machine learning. You will collaborate with analysts, scientists, and engineers on DoD and government projects.

Applicants should hold a PhD in a relevant field, have 3+ years of physics-based simulations experience, and be able to communicate effectively