Job Description

Description

Are you interested in solving critical challenges for the United States Navy and Air Force?

 

Do you love the idea of working with large, complex mechanical systems and their associated software? Does the challenge of processing and analyzing real-world data from U.S. submarines excite you? Would you love to create and validate physics-based simulations of thermofluids problems?

 

If you are pursuing a Bachelor’s or Master’s degree in Mechanical Engineering or a similar major, and want to work in an exciting and collaborative environment, we’d love to have you join our team!

 

We are seeking a college graduate ready to embrace challenges associated with simulating complex real-world system behavior of submarine launch and weapon control systems. The ideal candidate will have interest and experience in fluid dynamics analysis, whether in the laboratory or through coursework, as well as a solid understanding of object-oriented programming principles. In addition to simulation work, you will have the opportunity to work directly with the data generated by a submarine on patrol, and to influence the processing and analysis of this data here at the Applied Physics Laboratory (APL). We are in the midst of transforming our data architecture to enable the use of Machine Learning algorithms to modernize our data processing, and you can be a part of this revolution!

 

As a member of our team...

• Your primary responsibilities will be to perform physics-based modeling and data analysis in MATLAB/Simulink, Python, and similar tools. We will provide existing code for you to learn, review, and improve upon, as well as system architecture documents and data from existing launch and control systems.
• You will implement coding best-practices using guidelines provided by the team and alongside an experienced mentor.
• You will also learn the details of the existing weapon system by supporting analysis of submarine patrol data and through in-person opportunities including on-site support for a strategic test launch off of a submerged submarine.

Qualifications

You meet our minimum qualifications for the job if you...

• Have a Bachelor's or Master's degree in Mechanical Engineering or a closely related field.
• Have a passion for Fluid Dynamics and/or object-oriented programming as demonstrated in either a laboratory setting or through coursework.
• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level 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…

• Have significant experience in MATLAB/Simulink or Python through coursework or a prior internship, and/or experience with data architecting and Machine Learning algorithms.
• Have experience developing thermofluid simulations of complex mechanical systems.
• Have prior internship experience with the U.S. Navy, DoD contractors, or government laboratories.

 

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. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

 

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a 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.

About Us

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

 

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.

 

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$85,000 Annually

Maximum Rate

$150,000 Annually

*Please mention you saw this ad on AcademicJobs.*

Apply Now