Wireless simulation Intern - Summer 2027

Idaho National Laboratory

Idaho Falls (ID)

Sur place

USD 37 000 - 57 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Paid holiday time off
Travel reimbursement may be available

Résumé du poste

Idaho National Laboratory in Idaho Falls offers an internship to support advanced radar research, modeling classical and quantum radar methods for detecting low‑RCS targets, drones, and multi‑target scenarios.

The role includes developing multi‑agent reinforcement learning algorithms to improve spectrum sharing and reporting to the Plant Optimization team on site. Start date and duration vary by project and student availability.

Qualifications

  • Enrolled full time in a Master or Doctorate program in EE, CS, or Applied Math
  • Minimum GPA of 3.0
  • Authorization to work in the U.S. (CPT/OPT)
  • Current resume or CV
  • Unofficial transcripts (current and completed)
  • Current class schedule with credits
  • Experience/coursework in MATLAB and Python

Responsabilités

  • Model and evaluate classical and quantum radar approaches for detecting/tracking targets
  • Develop multi-agent reinforcement learning algorithms for spectrum sharing
  • Report to the Plant Optimization team at Idaho Falls campus

Connaissances

MATLAB
Python
HPC modeling
Reinforcement learning

Formation

Master's or Doctorate in Electrical Engineering / CS / Applied Mathematics
GPA 3.0+

Outils

Radar simulation tools

Description du poste

Job Description

In this internship you will support advanced radar research by modeling and evaluating classical and quantum-radar approaches for detecting and tracking low-RCS targets, high-speed drones, and multiple targets. You may also develop multi-agent reinforcement learning algorithms to improve spectrum sharing. Reporting to the Plant Optimization team. This team works a 9x80 schedule onsite at our Idaho Falls campus. Start date and duration of internship vary based on project and student availability. You may be eligible for course credit for this internship if approved by your university.

Minimum Qualification
  • Enrolled full time in a Master Degree Program, or Doctorate Degree Program at an accredited college/university studying Electrical Engineering, Computer Science, Applied Mathematics or closely related field
  • A minimum overall 3.0 GPA
  • Authorization to work in the U.S. (including CPT and OPT)
  • Current Resume or CV
  • Unofficial Transcripts (include current and completed degree programs)
  • Current class schedule and number of credits
  • Experience/coursework in MATLAB and Python
Ideal candidate will possess
  • High performance computing modeling and simulation methods experience/coursework in Markov-Chains, Bayesion Models, Discrete Event, Stochastic Random Process
  • Systems modeled experience/coursework in Critical Infrastructure
  • Statistics and big data analysis experience/coursework in Spatial Modeling and Geostatistics, Uncertainty Analysis and Error Propagation
  • Experience/Coursework in radar simulation tools
Compensation And Benefits
  • Undergraduate Internships ($26.94/hour - $32.41/hour)
  • Masters Internships ($35.34/hour - $37.73/hour)
  • PhD Internships Pre-Candidacy ($36.83/hour - $39.33/hour)
  • PhD Internships Post-Candidacy ($38.65/hour - $41.29/hour)
  • Eligible interns are provided with paid holiday time off, and many of our internships offer travel reimbursements
  • Multi-Level: Internships are typically multi-level posting and you will be placed at the appropriate level dependent on degree field and level of education.
Physical requirement

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, type on a keyboard, reach with hands and arms, and operate job-related equipment. The employee must occasionally lift and/or move up to 35 pounds without assistance. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Benefits and Relocation
  • Paid holiday time off
  • Travel reimbursement may be available for eligible interns

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

About Us

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov .

Equal Employment Opportunity

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

INL does not accept resumes from third party vendors unsolicited.

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