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Internship Computational Neuroscience Jobs (NOW HIRING)

Neuralink

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

Develop computational models of, and design encoding strategies for, electrical stimulation ... Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering ...

The Pennsylvania State University

$16/hr

... computational models of the human postural system. This position offers hands-on experience in ... Coursework or interest in biomechanics, physiology, or neuroscience * Experience with control ...

Mayo Clinic

Research Fellow-Psychiatry

Phoenix, AZ

... Student Interns sponsored by Mayo Clinic. Why Mayo Clinic Mayo Clinic is top-ranked in more ... neuroscience, electrical engineering, or a closely related field, in addition to technical ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

$67K - $78K/yr

... neuroscience, electrical engineering, or a closely related field, in addition to technical ... computational modeling, machine learning, and analysis of structural and functional neuroimaging ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

... neuroscience, electrical engineering, or a closely related field, in addition to technical ... computational modeling, machine learning, and analysis of structural and functional neuroimaging ...

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Internship Computational Neuroscience information

Is computational neuroscience a growing field?

Computational neuroscience is a rapidly expanding field driven by advances in neuroimaging, machine learning, and data analysis techniques. As understanding of brain function increases, demand for professionals with skills in modeling, programming, and neuroscience continues to grow, making it a promising area for internships and careers.

Who are the best computational neuroscientists?

Some of the leading computational neuroscientists include David Van Essen, Christof Koch, and Eve Marder, known for their contributions to understanding neural circuits and brain function. These experts often publish in top journals and collaborate across disciplines, utilizing tools like neural modeling and data analysis. For internship roles, strong programming skills and knowledge of neural data are essential.

What are the key skills and qualifications needed to thrive in the Internship Computational Neuroscience position, and why are they important?

To thrive as an Internship Computational Neuroscience participant, you need a strong foundation in neuroscience, mathematics, programming (Python or MATLAB), and data analysis, often demonstrated through relevant coursework or research projects. Familiarity with neural data analysis tools, machine learning frameworks, and simulation environments like NEURON or Brian is highly valued. Strong analytical thinking, problem-solving abilities, and clear communication skills help interns work effectively within research teams. Mastery of these skills enables interns to contribute meaningfully to cutting-edge research projects and adapt quickly in multidisciplinary scientific settings.

What can I do with a computational neuroscience degree?

A computational neuroscience degree prepares individuals for roles such as research scientist, data analyst, or software developer in neuroscience, biotech, or healthcare industries. Graduates often work with neural data analysis, machine learning, and modeling tools, and may pursue further research or advanced positions requiring programming skills and knowledge of neural systems.

What types of projects or responsibilities can I expect during a Computational Neuroscience internship?

As a Computational Neuroscience intern, you can expect to work on tasks such as analyzing large-scale neural data sets, building and validating computational models of neural systems, and assisting with the interpretation of experimental results. You may also help develop or optimize software tools, support ongoing research studies, and participate in group meetings to discuss findings. Many internships offer opportunities to present your work, collaborate closely with scientists from diverse backgrounds, and gain hands-on experience with state-of-the-art neuroscience technologies. This exposure helps interns develop practical research skills and a deeper understanding of how computational approaches are applied in neuroscience.

What is an Internship Computational Neuroscience job?

An Internship in Computational Neuroscience is a temporary research or industry position where students apply mathematical models, programming, and data analysis to understand brain function. Interns often work with neural data, develop simulations, and use machine learning techniques to analyze brain activity. These internships can be in academic labs, healthcare, or tech companies specializing in AI and neuroscience. The goal is to gain hands-on experience in applying computational methods to neuroscience problems while contributing to real-world research projects.

What are the big 4 internships?

The 'big 4' internships typically refer to the most prestigious and competitive programs offered by major technology and consulting firms such as Google, Microsoft, Facebook (Meta), and Amazon. These internships are highly sought after by students in computational neuroscience and related fields, often requiring strong technical skills, research experience, and a solid academic record. They provide valuable industry experience, mentorship, and networking opportunities for aspiring professionals in the field.
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Internship Computational Neuroscience jobs near you
Infographic showing various Internship Computational Neuroscience job openings in the United States as of June 2026, with employment types broken down into 22% Internship, 9% As Needed, 48% Full Time, and 21% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Neuroengineer, Next Gen

Neuroengineer, Next Gen

Neuralink

Fremont, CA • On-site

$122K - $226K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.
Job Description and Responsibilities:
  • Develop computational models of, and design encoding strategies for, electrical stimulation
  • Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
  • Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
  • Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
  • Present results in a collaborative setting

Required Qualifications:
  • Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
  • 4+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications:
  • Experience with modern statistical inference and machine learning, including for machine vision applications
  • Experience with neural stimulation
  • Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
  • Experience modeling electric fields using finite element modeling (FEM)
  • Experience building and programming experimental instrumentation
  • Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$122,000-$226,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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