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Neuromorphic Internship Jobs (NOW HIRING)

Neuromorphic Internship information

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$8

$15

$21

How much do neuromorphic internship jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for neuromorphic internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is a neuromorphic internship?

A neuromorphic internship is a temporary, educational position that allows students or early-career professionals to gain hands-on experience working with neuromorphic engineering. This interdisciplinary field involves designing hardware and software systems inspired by the structure and function of the human brain, often using spiking neural networks and novel computing architectures. Interns typically work on research projects, algorithm development, or hardware implementation, collaborating with experts in neuroscience, computer science, and electrical engineering. The goal is to advance brain-inspired computing technologies for applications like robotics, artificial intelligence, and sensory processing.

What are the key skills and qualifications needed to thrive as a Neuromorphic Internship, and why are they important?

To thrive as a Neuromorphic Intern, you typically need a background in electrical engineering, computer science, or neuroscience, with strong knowledge of neural networks and computational modeling. Experience with programming languages (such as Python or C++), machine learning frameworks, and neuromorphic hardware platforms is highly valuable. Analytical thinking, creativity, and effective teamwork distinguish top candidates in this field. These abilities are crucial for developing innovative brain-inspired computing solutions and advancing research in neuromorphic systems.

What is the difference between Neuromorphic Internship vs Neural Network Research Intern?

AspectNeuromorphic InternshipNeural Network Research Intern
CredentialsRelevant coursework, basic understanding of neuromorphic hardwareBackground in machine learning, computer science, or related fields
Work EnvironmentResearch labs, hardware prototyping, interdisciplinary teamsSoftware development, algorithm testing, data analysis
Industry UsageHardware companies, neuromorphic chip developers, academiaAI companies, research institutions, tech firms

Neuromorphic Internships focus on hardware and neuromorphic computing systems, often involving hardware prototyping and interdisciplinary collaboration. Neural Network Research Internships primarily involve software-based AI research, algorithm development, and data analysis. Both roles are valuable in AI and computing industries but differ in focus and skill requirements.

What types of projects or tasks can I expect to work on during a Neuromorphic Internship?

As a Neuromorphic Intern, you will likely engage in hands-on projects involving the design, simulation, and testing of brain-inspired computing systems. Typical tasks may include developing spiking neural network models, working with specialized hardware such as neuromorphic chips, and analyzing large datasets to evaluate performance. You may also collaborate closely with multidisciplinary teams of engineers, neuroscientists, and software developers, gaining exposure to both theoretical and practical aspects of neuromorphic engineering. This environment is highly collaborative and research-driven, offering opportunities to contribute to cutting-edge advancements in artificial intelligence.
More about Neuromorphic Internship jobs
What cities are hiring for Neuromorphic Internship jobs? Cities with the most Neuromorphic Internship job openings:
What states have the most Neuromorphic Internship jobs? States with the most job openings for Neuromorphic Internship jobs include:
Infographic showing various Neuromorphic Internship job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 2% As Needed, 71% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Postdoctoral Fellow - Neuromorphic Computing - 528713

Postdoctoral Fellow - Neuromorphic Computing - 528713

The University of Alabama

Tuscaloosa, AL • On-site

$53K - $66K/yr

Full-time

Posted 29 days ago


University Of Alabama rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

351st of 539 rated colleges and universities


Job description

Postdoctoral Fellow - Neuromorphic Computing - 528713
Job no: 528713
Work type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Categories: Other, Research/Scientific
Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)
Department/Organization: 214251 - Electrical and Computer Eng
Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee.
Additional Department Summary: The Electrical and Computer Engineering Department at The University of Alabama is seeking candidates for a Postdoctoral Fellow position. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field and demonstrate a record of academic achievement in research.
Initial appointments are for one year, with renewal contingent upon demonstration of research productivity and funding.
Required Department Minimum Qualifications: Ph.D. or other terminal degree in Electrical or Computer Engineering, Computer Science, or a related field.
Candidates will need to have completed their Ph.D. or have it completed by the start of employment.
Skills and Knowledge: Experience with neuromorphic computing, IC design, embedded systems, or AI.
Preferred Qualifications: Record of publications in related top-tier journals or research conferences. Expertise in Electrical or Computer Engineering, Computer Science, or a related field.
Applicants should upload a cover letter, curriculum vitae and include at least two references in the reference section of the application. Please upload additional documents to the "other documents" tab as needed.
Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.
Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.
The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.
Advertised: 26 Feb 2026 Central Standard Time
Applications close: 26 Aug 2026 Central Daylight Time

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