Computational Electromagnetics Intern — Antenna & Radar

Riverside Research; Champaign (IL); On-site; USD 2,755,000 - 4,133,000; Full time

Job summary

Riverside Research invites motivated undergraduates to join the Applied Mathematics and Physics Solutions team for a Computational Electromagnetics internship in Champaign, IL. Work on Maxwell's equations tools, engage in code development, data analysis, and visualization, and present findings in group meetings.

Summer 2027 internship with hands-on research exposure alongside senior researchers. You will gain experience with simulation tools, high-performance computing concepts, and

Qualifications

• Junior year in Fall 2027 in an undergraduate program in Physics, Astronomy, Computer Science, Applied Mathematics or related field
• 1-2 years of experience with scripting (python)
• 1-2 years of experience with C, C++ or Fortran
• 1-2 years of familiarity with using the Linux command line
• Strong analytical and problem-solving skills
• Excellent written and verbal communication
• Must be a US citizen

Responsibilities

• Assist in developing, testing, or optimizing tools that solve Maxwell's equations
• Contribute to code development, data analysis, and/or visualization
• Participate in group meetings and present findings or progres

Skills

Python scripting

C programming

C++ programming

Fortran programming

Linux CLI

Analytical thinking

Communication

US citizenship

Education

Undergraduate student (Junior year) in Physics/Astronomy/CS/Applied Mathematics or related field

Tools

MPI

OpenMP

Git

Job description

Riverside Research invites motivated undergraduates to join the Applied Mathematics and Physics Solutions team for a Computational Electromagnetics internship in Champaign, IL. Work on Maxwell's equations tools, engage in code development, data analysis, and visualization, and present findings in group meetings.

Summer 2027 internship with hands-on research exposure alongside senior researchers. You will gain experience with simulation tools, high-performance computing concepts, and