Internship: AI-Driven Human–Machine Systems Engineer

Johns Hopkins Applied Physics Laboratory

Laurel (MD)

On-site

USD 32,000 - 66,000

Full time

6 days ago

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Job summary

The Johns Hopkins Applied Physics Laboratory (APL) seeks students pursing a Bachelor's or Master’s degree in Engineering, Computer Science, Mathematics, Data Science, Human Factors, Behavioral Science, or Operations Research to work on integrating systems, humans, and operations for mission outcomes. Join a multidisciplinary team applying AI/ML, data-driven processes, and advanced analytics to solve complex socio-technical challenges.

U.S.

Qualifications

Pursuing a Bachelor’s Degree in engineering, behavioral science, or related field with strong GPA.
GPA 3.0 on a 4.0 scale or higher.
Experience in data analysis, visualization, or programming with Python, R, or Matlab.
Experience with modeling, simulation, or systems engineering tools such as Excel VBA, Simio, or MagicDraw.
Developing data pipelines for analysis and modeling.
Awareness of UI/UX best practices for positive user experiences.

Responsibilities

Investigate, evaluate, and prototype technologies and operational solutions.
Collaborate with stakeholders to translate needs into requirements for M&S and system design.
Support project reviews and document analytical approaches and design decisions.
Help define innovative approaches to address operational challenges and decision making.