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Information Theory Jobs (NOW HIRING)

$60 - $85/hr

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 ...

New

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 ...

New

Strong theoretical expertise in mathematical statistics, information theory, and the principles of signal estimation and detection, with the ability to translate these foundations into rigorous ...

... 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 ...

... 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 ...

$150K - $300K/yr

Theoretical Rigor: Strong foundations in deep learning, graphical models, and information theory. * Coding Proficiency: Expert-level skills in deep learning frameworks (PyTorch/JAX), with a focus on ...

$150K - $300K/yr

Theoretical Rigor: Strong foundations in deep learning, graphical models, and information theory. * Coding Proficiency: Expert-level skills in deep learning frameworks (PyTorch/JAX), with a focus on ...

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 ...

Showing results 41-60

Information Theory information

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$23

$30

$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.

Postdoctoral Research Fellow

The website

On-site

$60 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

## Postdoctoral Research FellowApplylocations: Boston, MA (Main Campus)time type: Full timeposted on: Posted Todayjob requisition id: R141274**About the Opportunity****Job Summary**The department of Electrical and Computer Engineering and Institute for Intelligent Networked Systems (INSI) is seeking a Postdoctoral Research Fellow to work on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in new applications.**Qualifications:**Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi-institutional teams with senior and junior scholars. 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 years depending on availability of funds and sustained excellence in meeting the duties and expectations is offered.**Position Type**Research**Additional Information**Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.**Compensation Grade/Pay Type:**108S**Expected Hiring Range:**$60,315.00 - $85,192.50*With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.* #J-18808-Ljbffr