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How much do phd wireless communications intern jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for phd wireless communications intern in the United States is $17.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects do PhD Wireless Communications Interns typically work on during their internship?

PhD Wireless Communications Interns are often involved in research-driven projects that focus on developing and testing advanced wireless technologies, such as 5G/6G protocols, signal processing algorithms, or network optimization techniques. These projects frequently require collaboration with senior engineers and other researchers, offering interns hands-on experience with industry-grade simulation tools and hardware platforms. Interns may contribute to technical reports, prototype development, and sometimes even co-author academic publications. The work environment is typically fast-paced and intellectually stimulating, providing opportunities to apply theoretical knowledge to practical problems.

What are the key skills and qualifications needed to thrive as a PhD Wireless Communications Intern, and why are they important?

To excel as a PhD Wireless Communications Intern, you need a strong background in wireless communication theory, signal processing, and advanced mathematics, typically supported by progress toward a PhD in electrical engineering or a related field. Familiarity with simulation tools such as MATLAB, Python, or NS-3, and experience with wireless standards like 5G/6G are commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top candidates in this role. These skills are crucial for tackling complex research problems and contributing innovative solutions in a collaborative R&D environment.

What does a PhD Wireless Communications Intern do?

A PhD Wireless Communications Intern typically works on research and development projects related to wireless technologies, such as 5G, IoT, or signal processing. Their responsibilities may include designing algorithms, running simulations, analyzing data, and collaborating with senior engineers or researchers to solve complex wireless communication challenges. These internships are designed to leverage a candidate’s advanced knowledge in communications theory, machine learning, and network protocols. Often, interns contribute to publications, patents, or prototypes, gaining real-world experience while advancing the state of the art in wireless communications.
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2026 PhD Graduate - Wireless Communications Engineer - Wireless Cyber Capabilities

2026 PhD Graduate - Wireless Communications Engineer - Wireless Cyber Capabilities

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 59 rated research


Job description

Description
Do you want to become an expert in wireless communications?
Are you passionate about learning about the latest wireless technologies?
If you are graduating with a PhD in Electrical or Computer Engineering and want to work in wireless communications, we'd love to have you join our team!
We are seeking to develop engineers to help us give our nation a significant advantage by controlling the wireless communications environment. Our Wireless Cyber Capabilities team focuses on providing the U.S. military and intelligence communities with operational advantages by leveraging software-defined radios, commercial cellular equipment, and machine learning to develop advanced capabilities for research and operational prototypes. To learn more about our work, click here.
Our engineers apply cutting-edge research to some of the government's most critical challenges in the follow research areas:
Wireless Cybersecurity
  • We leverage our deep knowledge of wireless protocols to develop new and innovative approaches to secure our nation's communications against on-network and off-network attacks.

Radio Frequency Machine Learning (RFML)
  • We apply our expertise in deep learning to devise novel solutions to complex RF and wireless communications problems that are intractable using conventional approaches.

Resilient Tactical Communications
  • We draw on our mastery of wireless networking and waveform design to fortify existing systems and design new systems that will enable robust, adaptable tactical communications.

Wireless Communications Lab (WCL)
  • The WCL leverages a broad range of expertise in modeling and simulation, rapid prototyping, end-to-end network analysis, and wireless exploitation to advance the state of the art in electromagnetic maneuverability, network intelligence, and wireless protocol security.

As a member of our team, you will...
  • Be part of a team that leverages wireless communications expertise, software defined radios, and machine learning to own the communications environment.
  • Collaborate with a team of wireless communications engineers and software developers to implement wireless communication technology solutions.
  • As a member of our team, you will be exposed to a variety of projects and encouraged to explore what technical focus areas interest you.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Electrical Engineering, Computer Engineering, or a related technical degree
  • Are skilled in and/or have knowledge of signals & systems or wireless communication concepts
  • Are skilled in and/or have knowledge of software design patterns in a language such as Python, C++, C, VHDL/Verilog, or MATLAB
  • Are able to obtain Interim Top Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Are skilled in and/or have knowledge of wireless communication protocols or systems such as Wi-Fi, 5G-NewRadio / NextG, or SATCOM
  • Are skilled in and/or have knowledge of digital signal processing (DSP) such as Fourier analysis and filtering
  • Are skilled in and/or have knowledge of software defined radio (SDR) frameworks such as GNU Radio
  • Are skilled in and/or have knowledge of machine learning (ML) including frameworks such as PyTorch, TensorFlow.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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