Do you want to make a career out of solving all kinds of challenging problems?
Are you searching for impactful work in the area of computational physics that doesn't confine you to working on the same thing year after year?
Dose making meaningful contributions to projects that span from submarines, surface ships, UAV's, aircraft, missiles, to spacecraft sound like a dream job?
Are you a creative person driven by your need to solve new problems that thinks in terms of physics, who is passionate about applying your knowledge and knowledge learned from others to solve truly unique problems?
If so, we're looking for someone like you to join our team at APL.
We are seeking a computational physicist to help us provide insight to the physical processes that define the behaviors of physical systems. As a member of our team, you will contribute to exciting projects supporting the US Department of Defense and NASA. Our team strives to develop, apply, and maintain deep expertise multiscale modeling techniques that give insight into the most meaningful length and time scales. You will work alongside computational engineers and physicists who have a real passion for working with and developing state of the art computational tools in order to make advancements in the field.
As a Computational Engineer/Physicist:
- Your primary responsibility will be to develop both physics based and machine learning based models of molecules and materials and utilize them for property prediction and inverse design.
- You will interface with and actively collaborate with engineers, designers, fabricators, and scientists on a day to day basis.
- You will propose and develop new modeling frameworks for predicting the response of complex systems including but not limited to structural, thermal, dynamic, ballistic, and blast loading conditions.
- You will also craft reports and give presentations to communicate results to team members and government partners.
You meet our minimum qualifications for the job if you...
Have a PhD in Physics, Applied Mathematics, Chemistry, Materials Science, or equivalent with demonstrated application of knowledge.
Have expertise applying machine learning methods to solve problems in chemistry, physics, or materials science and the ability to contribute to development of those methods.
Scientific/engineering programming experience, the ability to work in multiple languages (MATLAB, C/C++, Python, FORTRAN, …) and algorithms commonly used in computational science and engineering.
Can both work independently on multiple projects with little guidance and direction, and work collaboratively within a multidisciplinary team environment.
Have excellent oral and written communication skills.
- Are willing and able to travel occasionally to attend meetings or tests at other government and contractor sites.
- Will be comfortable working in closed area facilities.
- Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you...
2+ years of experience in computational physics.
Experience in developing methods for predicting physical properties of molecules or materials based on their composition and structure.
Experience in developing methods for inverse design of molecules or materials, such as by generative models.
Extensive experience in the development and use of simulation software in computational engineering and science.
Experience in large-scale software development. Experience using hardware accelerators (e.g. GPU's) and familiarity with parallel programming techniques (MPI/OpenMP).
Demonstrated ability to contribute to team based software development.
- Fundamental understanding of the underlying physical phenomena driving physical properties .
Why work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. With a wide selection of challenging, impactful work and a robust education assistance program, APL promotes a culture of life-long learning. Our employees enjoy generous benefits and healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at www.jhuapl.edu/careers.
APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, veteran status, or any other characteristic protected by applicable law.