As a Bring-Your-Own Project intern, you will work with researchers, your mentor, and the MATRIX Lab team on a project of your choosing that involves the modeling, design, analysis, simulation, assembly, and/or experimentation of autonomous systems. Tasks may include:
- Modeling and analysis of performance, capability, and cost
- Developing models and establishing statistical relationships between component attributes and behaviors
- Performing analyses of platform and system components
- Applying generative design techniques to structural components
- Participating in additive manufacturing process setup and part assembly
- Applying statistical analysis and experimental design techniques to intelligently perform simulation of models
- Applying mathematical modeling techniques to explore relationships between design variables, technologies, and requirements
- Field research with autonomous platforms and systems
As a member of the MATRIX Lab team, you will be integrated directly into the day-to-day operations of the Lab.
We select projects and candidates judiciously based on research interest. Students from rising sophomore to rising senior from any accredited university or community college are eligible and welcome to apply today!
Qualifications
Desired qualifications may include, depending on project:
- Computer programming/scripting experience
- Intermediate knowledge of statistical data analysis tools and languages
- Intermediate knowledge of autonomous platforms and systems
- Basic knowledge of system modeling, system analysis, and time-based event analysis
- Basic knowledge of additive manufacturing principles and techniques
- Technical writing skills commensurate with conference or journal publications
How to Apply
- Identify a faculty mentor who will work with you to identify a project that is related to autonomous systems and remain as your advisor and primary source for project assistance throughout the internship
- Apply directly to the internship review committee at matrix@umd.edu with:
- your resume
- an endorsement (letter, email, etc.) from an academic/subject matter expert mentor who will advise on the project
- a short description of your proposed project (no more than one page)
- a proposed budget or best-guess cost estimate for the project
- Projects must be approved by the MATRIX Lab for applicability, scope and budget
- Applicants are reviewed and approved on a rolling basis, so apply as early as possible. Best consideration date for Summer 2025 will be April 1, 2025
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