Autonomous Systems Research Intern (Engineering/Science)

Johns Hopkins Applied Physics Lab

Laurel (MD)

On-site

USD 31,000 - 66,000

Full time

3 days ago
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Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks talented students and early-career engineers to join the Health and Human-Machine Systems Group. You will help design and operationalize autonomous solutions to revolutionize socio-technical systems for the Nation, integrating engineering, computer science, and data science with AI/ML in collaboration with government, academia, and industry.

You will collaborate across disciplines to translate stakeholder needs into well-defined requirements

Qualifications

  • Pursuing a Bachelor's Degree in engineering or a related technical field with strong academic performance.
  • Have a minimum 3.0 GPA on a 4.0 scale.
  • Experience with data analysis/visualization or programming in Python, R, or Matlab.
  • Modeling, simulation, or systems engineering tools such as Advanced Excel (VBA), Simio, or MagicDraw.
  • Developing data pipelines for analysis and modeling applications.
  • Experience with UI best practices for positive user experience.
  • Excellent interpersonal, written, and verbal communication skills, and teamwork.
  • U.S. Citizenship or Permanent Residence status.

Responsibilities

  • Work as part of a multi-disciplinary group to investigate, evaluate, analyze, and prototype technologies and operational solutions.
  • Collaborate with stakeholders to translate needs into requirements for analysis, M&S, and system design.
  • Support project reviews and revise/deliver work based on feedback and quality standards.

Skills

Data analysis
Python
Modeling & simulation

Education

Bachelor's degree in Engineering
Master’s degree in Engineering

Tools

Excel VBA
Simio
MagicDraw

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks talented students and early-career engineers to join the Health and Human-Machine Systems Group. You will help design and operationalize autonomous solutions to revolutionize socio-technical systems for the Nation, integrating engineering, computer science, and data science with AI/ML in collaboration with government, academia, and industry.

You will collaborate across disciplines to translate stakeholder needs into well-defined requirements

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