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Information Theory Jobs (NOW HIRING)

Expertise in quantum algorithms and quantum information theory with a strong foundation in quantum computing. * PhD (or soon to receive one) in quantum information, quantum computation, computer ...

... information theory, computational complexity, and linear algebra. - Proficiency in at least one general-purpose programming language. Preferred technical and professional experience - Experience ...

Background in optimization, control theory, queueing theory, or information theory applied to real systems. * Familiarity with edge computing constraints: limited memory, power, compute. * Experience ...

Research / Scientific We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech. The successful candidate will ...

Sr Wireless Systems Engineer

San Diego, CA · On-site

$110K - $151K/yr

Experience in digital/wireless communications (e.g., information theory, coding theory, signal processing, optimization, AI). * Demonstrated ability to design communications simulation tools * Strong ...

Strong foundations in information theory, communications and applied probability are required. Clear writing and presentation skills are essential. A one-year post, with a possible extension to two ...

... information theory Proficiency in equalizers, timing recovery and system identification Proficiency in DSP concepts and applications Familiarity with mixed-signal modeling in Python/MATLAB/C/C ...

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals ...

... information theory Proficiency in equalizers, timing recovery and system identification Proficiency in DSP concepts and applications Familiarity with mixed-signal modeling in Python/MATLAB/C/C ...

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Information Theory information

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$46

How much do information theory jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for information theory in the United States is $30.46, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $31.01 per hour, depending on experience, location, and employer.

What is information theory?

Information theory is a branch of applied mathematics and electrical engineering that studies the quantification, storage, and communication of information. It was founded by Claude Shannon in the 1940s and provides the mathematical foundations for data compression, transmission, and encryption. Information theory plays a crucial role in fields like telecommunications, computer science, cryptography, and even neuroscience, by helping to determine the most efficient ways to encode and transmit data while minimizing loss or error.

What are the key skills and qualifications needed to thrive as an information theorist, and why are they important?

To thrive as an Information Theorist, you need a strong background in mathematics, probability, and statistics, typically supported by an advanced degree in electrical engineering, mathematics, or computer science. Familiarity with programming languages such as Python or MATLAB and experience with specialized software for data analysis and simulation are often required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for conveying complex theories and collaborating on interdisciplinary projects. These skills are vital for developing innovative solutions to data compression, transmission, and security challenges in modern communications and technology.

What are the typical challenges faced by professionals working in information theory roles within industry or academia?

Professionals in Information Theory often encounter challenges such as translating abstract mathematical concepts into practical applications, especially when working on real-world communication systems or data compression projects. Collaboration with interdisciplinary teams—such as engineers, computer scientists, and data analysts—is common and requires strong communication skills to bridge theoretical and applied perspectives. Additionally, keeping up with rapid advancements in related fields like machine learning can pose a challenge, but also offers opportunities for impactful research and innovation. These roles frequently involve both independent problem-solving and teamwork, providing a dynamic and intellectually stimulating work environment.

What is the difference between Information Theory vs Data Scientist?

AspectInformation TheoryData Scientist
Required CredentialsMathematics, Electrical Engineering degreesStatistics, Computer Science degrees
Work EnvironmentResearch labs, academia, tech companiesBusiness, tech firms, startups
Industry UsageData compression, communication systemsData analysis, predictive modeling

Information Theory focuses on the mathematical foundations of data encoding and communication, often working in research or technical roles. Data Scientists analyze and interpret data to inform business decisions. While both roles involve data, Information Theory is more theoretical and specialized, whereas Data Scientists apply data analysis techniques in practical settings.

More about Information Theory jobs
Infographic showing various Information Theory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $63,360 per year, or $30.5 per hour.

Satellite Communication Systems-Technical Staff

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

The Tactical Satellite Communications Group is developing technologies and analysis for some of the most advanced communication systems in the world. The Group is involved in a synergistic combination of research, prototyping, and experimentation efforts focused on the goals of enhancing the capability and robustness of future generations of communications satellites and systems.
Current research areas draw from advanced knowledge of Information Theory, Communication Theory, Network Theory, Array Processing, Estimation and Detection, Machine Learning, Antennas and Arrays, Dynammic Resource Allocation, and Optimization. Promising research results are verified in hardware and software prototypes that provide quantitative performance data in relevant environments. Exceptional candidates seeking to become experts in these fields and advance the state of technology are encouraged to apply.
Position Description
Selected candidates will actively participate in the design, analysis, implementation, and demonstration of novel communications waveforms, signal processing algorithms, resource allocation schemes, SATCOM system architectures, antennas and arrays, media access protocols, and networking protocols. The individual will typically work in multi-disciplinary teams in which team members possess expertise in communications theory, networking, information assurance, systems engineering, antennas and arrays, digital hardware, and software defined radio. The individual will have opportunities to work with the government, academia, and industry as well as make contributions towards DoD policy, requirements, acquisition, systems engineering, and operations.
Minimum Qualifications
  • Ph.D. in Electrical Engineering (or related field) with a strong background in wireless communications and signal processing. In lieu of a Ph.D., an M.S. with 3+ years of directly relevant experience is acceptable.
  • Experience and/or coursework in wireless communications theory, information theory, digital signal processing, estimation and detection, optimization, radio frequency propagation modeling, linear algebra.
  • Proficiency with MATLAB, Python, C/C++ or other equivalent modeling and simulation tools.
  • Highly effective written and verbal communication skills.
  • Demonstrated ability to work effectively in multi-disciplinary teams.

Preferred Qualifications
  • Machine learning, adaptive filtering, array processing, media access control protocols, networking
  • Fixed point algorithm design and implementation targeting embedded processors such as FPGA, GPU, DSP
  • Antennas, arrays, and radio frequency circuits
  • Software Defined Radio
  • Software Defined Networking
  • Demonstrated ability to plan and manage tasks and projects

Recent Graduate Hiring Range: $145,200-$170,000
Experienced Hiring Range: $145,200-$220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42731
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