1

Internship Computational Neuroscience Software Engineer Jobs

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Engineering (with computational focus), or related field * Preference for students who have ...

Showing results 21-40

Internship Computational Neuroscience Software Engineer information

See salary details

$13

$25

$38

How much do internship computational neuroscience software engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for internship computational neuroscience software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does an internship computational neuroscience software engineer do?

An Internship Computational Neuroscience Software Engineer assists researchers and engineers in developing software tools, simulations, and data analysis pipelines used in computational neuroscience. This role often involves writing code to model neural systems, process large datasets from experiments, and visualize results. Interns may work with programming languages like Python, MATLAB, or C++ and collaborate with interdisciplinary teams of neuroscientists, data scientists, and engineers. The position provides hands-on experience in both software engineering and neuroscience research, helping interns gain practical skills and insights into brain function.

What are the key skills and qualifications needed to thrive as an internship computational neuroscience software engineer?

To thrive as an Internship Computational Neuroscience Software Engineer, you need a solid background in computer science, programming (especially Python or MATLAB), and basic neuroscience concepts, usually evidenced by coursework or relevant research experience. Familiarity with neural simulation tools (like NEURON or Brian2), version control systems (such as Git), and data analysis libraries is typically required. Strong problem-solving, teamwork, and communication skills help you collaborate with interdisciplinary teams and present scientific results effectively. These competencies ensure you can contribute to innovative research, adapt to complex challenges, and support scientific discovery within computational neuroscience projects.

What types of projects or tasks can I expect as an internship computational neuroscience software engineer?

As an intern in computational neuroscience software engineering, you will likely work on projects involving data analysis, simulation of neural networks, or the development and optimization of research software. Your daily responsibilities may include writing and testing code, collaborating with neuroscientists and engineers, and analyzing large datasets from neural recordings. You will often be part of interdisciplinary teams, gaining exposure to both neuroscience research and software development best practices. These experiences provide valuable hands-on learning and can be a strong foundation for future roles in computational neuroscience or related fields.
More about Internship Computational Neuroscience Software Engineer jobs

What cities are hiring for Internship Computational Neuroscience Software Engineer jobs?

Cities with the most Internship Computational Neuroscience Software Engineer job openings:

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs?

The most popular types of Computational Neuroscience Software Engineer jobs are:

What states have the most Internship Computational Neuroscience Software Engineer jobs?

States with the most job openings for Internship Computational Neuroscience Software Engineer jobs include:

What are popular job titles related to Internship Computational Neuroscience Software Engineer jobs?

For Internship Computational Neuroscience Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Internship Computational Neuroscience Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Scientific Software Engineer / Computational Physicist

Springfield, VA • On-site

Other

Posted 9 days ago


Job description

All Jobs Scientific Software Engineer / Computational Physicist

Scientific Software Engineer / Computational Physicist

We are seeking a Scientific Software Engineer / Computational Physicist to support a research and development program focused on remote sensing, physics-based modeling, and scientific algorithm development.

This role requires a strong background in scientific programming and applied physics. An initial focus will be evaluating an existing scientific codebase originally developed in MATLAB and later converted to Python. The engineer will assess both the software implementation and underlying physics to determine whether models and calculations accurately represent the intended physical phenomena.

The ideal candidate can independently review scientific code, understand the governing physics and mathematical models, identify questionable assumptions or implementations, and develop or improve computational approaches to support ongoing R&D efforts.

Key Responsibilities

  • Review, debug, validate, and improve scientific Python code, including functionality converted from legacy MATLAB.
  • Evaluate whether computational models accurately represent the intended physics, mathematical assumptions, and governing equations.
  • Identify errors or inconsistencies in scientific models, numerical implementations, and MATLAB-to-Python conversions.
  • Work with physics-based models involving areas such as heat transfer, fluid dynamics, radiative processes, and material properties.
  • Develop and evaluate algorithms supporting remote sensing, infrared sensing, spectral analysis, and related R&D efforts.
  • Apply numerical modeling and optimization techniques to scientific and engineering problems.
  • Translate physical principles, mathematical models, and scientific research into computational implementations.
  • Develop validation approaches and evaluate model and algorithm performance, sensitivity, uncertainty, and limitations.
  • Document and communicate technical findings, methodologies, assumptions, and recommendations.

Required Qualifications

  • B.S. in a STEM discipline with 10+ years of relevant experience, or M.S. in STEM with 6+ years of relevant experience.
  • Strong scientific programming experience in Python.
  • Experience with remote sensing.
  • Experience with numerical modeling, scientific computing, simulation, or scientific algorithm development.
  • Strong background in physics, engineering, applied mathematics, or a related scientific discipline.
  • Demonstrated ability to evaluate scientific software and the underlying physical or mathematical models.
  • Knowledge of optimization techniques, such as particle swarm optimization.
  • Active TS/SCI with willingness to obtain a CI Poly.

Preferred Qualifications

  • Experience with MATLAB, particularly scientific or physics-based applications.
  • Experience with infrared remote sensing and/or spectral analysis.
  • Knowledge of flight dynamics.
  • Experience with GitLab and Git CLI.
  • Experience reviewing, comparing, converting, or validating MATLAB and Python scientific implementations.
#J-18808-Ljbffr