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Information Theory Jobs (NOW HIRING)

Expertise in quantum information theory, quantum optics theory or related fields. Please combine all required documents in one pdf file. The required documents are: Cover Letter CV Summary of ...

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Information Theory information

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$23

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$46

How much do information theory jobs pay per hour?

As of Jun 11, 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 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 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.

What does information theory do?

Information theory is a field that studies the quantification, storage, and communication of information. It provides mathematical tools to analyze data compression, error detection, and transmission efficiency, which are essential in designing communication systems and data encoding methods. Professionals in this field often work with concepts like entropy, coding theory, and signal processing.

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 careers can I get with an information systems degree?

An information systems degree can lead to careers such as systems analyst, database administrator, network administrator, cybersecurity analyst, or IT project manager. These roles typically require knowledge of programming, networking, and data management tools, and may involve certifications like CompTIA or Cisco. The work environment often includes technology firms, financial institutions, healthcare organizations, and government agencies.

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.

Which IT job is the highest paid?

In the field of information theory, roles such as Chief Data Officer, Data Scientist, and Machine Learning Engineer tend to be among the highest paid, often earning six-figure salaries or more. These positions typically require advanced skills in data analysis, programming, and statistical modeling, and are found in industries like technology, finance, and consulting.

What jobs make $1,000,000 a year?

In the field of Information Theory, high-paying roles such as chief data officers, senior research scientists, or executives in technology companies can reach or exceed $1 million annually, especially with bonuses and stock options. These positions typically require advanced degrees, extensive experience, and expertise in data analysis, algorithms, and communication systems.
More about Information Theory jobs
Infographic showing various Information Theory job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $63,360 per year, or $30.5 per hour.
Assistant Project Scientist - Control Theory for Theoretical Neuroscience - Helen Wills Neuroscie...

Assistant Project Scientist - Control Theory for Theoretical Neuroscience - Helen Wills Neuroscie...

University of California, Berkeley

Berkeley, CA • On-site

Other

Posted 2 days ago


University Of California Berkeley rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

51st of 535 rated colleges and universities


Job description

Position overview
Position title: Assistant Project Scientist
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment.
See the following table for the current salary scale for this position: Table 37 A reasonable full-time estimate for this position is $79,400 to $92,200.
Percent time: 100%
Anticipated start: Summer 2026
Position duration: Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: May 22, 2026
Most recent review date: Sunday, Jun 7, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, Jun 24, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for an Assistant Project Scientist rank in the Bouchard Lab, in the area of control theory for theoretical neuroscience. The Bouchard lab at LBNL/UC Berkeley is an interdisciplinary team that focuses on understanding how distributed neural circuits give rise to coordinated behaviors and perceptions. We are looking for an Assistant Project Scientist to work at the interface of control theory, information theory, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high-dimensional neural population dynamics from diverse brain areas.
The position is located at UC Berkeley (UCB) and Lawrence Berkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, UCB, and UC Davis. This Bay Area collaboration combines UCSF/UCD's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, LBNL's supercomputing and applied mathematics, together with electronics and micro-fabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree)
Additional qualifications (required at time of start)
Minimum of four years of postdoctoral research experience
Preferred qualifications
+Experience in control theory, information theory, and/or machine learning required.
+Expertise in theoretical neuroscience preferred
+Excellent writing and communication skills
+Strong publication record in peer reviewed journals
+PhD in neuroscience, computer science, physics, electrical engineering, mechanical engineering, etc.,
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
    (Optional)

Reference requirements
  • 3 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF05380
Help contact: kebouchard@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy ( APM 210 1-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy .
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Berkeley, CA

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