Space Algorithms Intern: Research & Space Tech

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 32,000 - 66,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) invites motivated STEM students to join the Space Algorithms and Technologies group as interns in Laurel, MD. You will help design, develop, and assess space technologies and algorithms using C/C++, Matlab, and Python, while working on models, simulations, and sensor concepts for space systems.

You will collaborate with a multidisciplinary team, balancing independent tasks with team efforts, and you will be exposed to security clearance

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in Physics, Mathematics, Computer Science, Electrical Engineering, Aerospace Engineering, Computational Sciences or related field.
• Minimum 3.0 GPA on a 4.0 scale.
• Interest in technologies or algorithms related to space control applications.
• Development experience with C/C++, Matlab, Python or equivalent languages.
• Ability to complete tasking with minimal oversight; strong oral and written communication skills.
• U.S. citizenship and TS/SCI eligibility.

Responsibilities

• Developing and testing space components for internal research and development efforts.
• Working with models and simulations of current, proposed and future space systems, sensors and constellations.
• Exploring algorithms to improve and assess performance of space systems.

Skills

C/C++

Matlab

Python

Communication skills

Self-motivation

TS/SCI eligibility

Education

Bachelor's/Master's/PhD in Physics/Math/CS/EE/Aerospace/Computational Sciences

Job description

Johns Hopkins University Applied Physics Laboratory (APL) invites motivated STEM students to join the Space Algorithms and Technologies group as interns in Laurel, MD. You will help design, develop, and assess space technologies and algorithms using C/C++, Matlab, and Python, while working on models, simulations, and sensor concepts for space systems.

You will collaborate with a multidisciplinary team, balancing independent tasks with team efforts, and you will be exposed to security clearance