HRL Laboratories, LLC→
Modeling Intern - Doctorate at HRL Laboratories, LLC in Malibu, CA
InternshipOn-siteMalibu, CA$108k–$125k/yr
Skills
pythonlinux high-performance computing clusterkinetic monte carlo modelinggas-phase and surface chemical reaction kineticsab initio modelingdensity functional theory (dft)nudged elastic band (neb) methodquantum espressovaspparallel computing workflows
Job Description
Summary: HRL Laboratories is a pioneering company in physical and information science, focusing on transformative technologies in automotive, aerospace, and defense. They are seeking a highly motivated modeling intern to support their computational modeling group, contributing to research and developing innovative solutions aligned with organizational goals.
Responsibilities:
- Develop kinetic Monte Carlo models of gas phase deposition on surfaces and run simulations to understand the effect of precursor molecule size, shape, and functionality on the surface properties
- Model and/or analyze gas-phase and surface chemical reaction kinetics based on ab initio simulation approaches
- Set up computational workflows on HPC clusters
- Document results in written and slide format. Present results to team members and customers
- Provide process guidance to HRL customers
Required Qualifications:
- Currently enrolled in a PhD program in Chemistry, Physics, Materials Science and Engineering, or a related field
- Programming experience, especially with Python
- Experience running simulations on a Linux high-performance computing cluster
- Strong analytical, problem-solving, and technical skills
- Ability to work independently and collaboratively in a fast-paced environment
- Excellent communication and documentation skills
Preferred Qualifications:
- Experience with kinetic Monte Carlo or related models of surface growth, interfacial reactions, absorption, or other growth processes with chemically reactive species
- Experience or familiarity with ab initio modeling approaches such as DFT and NEB and codes like Quantum ESPRESSO and VASP from which activation energy/reaction rate information can be obtained as input to kinetic models
- Prior experience in a computational laboratory and track record of high impact publications
- Ability to develop parallelized computing workflows
Required Skills: Python, Linux high-performance computing cluster, Kinetic Monte Carlo modeling, Gas-phase and surface chemical reaction kinetics, Ab initio modeling, Density Functional Theory (DFT), Nudged Elastic Band (NEB) method, Quantum ESPRESSO, VASP, Parallel computing workflows
Benefits: Medical, Dental, Vision, Life insurance, 401K match, Gym facilities, PTO, Sick time, Upward mobility, Exciting and challenging work environment
Benefits
Medical
Dental
Vision
Life insurance
401K match
Gym facilities
PTO
Sick time
Upward mobility
Exciting and challenging work environment