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Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented ... What We Need To See: * BS, MS, PhD, or equivalent experience in Computer Science, Computer ...

You will collaborate with our team of world-renowned scientists and engineers to build innovative ... neural rendering and generative AI to build large-scale, efficient digital twins from real-world ...

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Neural Science information

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$24K

$104.6K

$194.5K

How much do neural science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for neural science in the United States is $104,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by neural scientists when conducting research, and how can they be addressed?

Neural scientists often encounter challenges such as securing funding for long-term studies, dealing with complex data analysis, and ensuring ethical treatment of subjects. Collaborating closely with interdisciplinary teams—such as computer scientists, engineers, and clinicians—can help address technical and analytical hurdles. Additionally, staying current with advancements in neuroimaging and data processing tools, and participating in professional networks, can provide valuable support and resources for overcoming these challenges.

Is neuroscience a high paying job?

Neuroscience careers, such as research scientists or clinical neuropsychologists, tend to have moderate to high salaries depending on experience, education, and location. Advanced roles in academia, industry, or healthcare often offer higher compensation, especially for those with specialized skills or advanced degrees like a Ph.D. or M.D.

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

To thrive as a Neural Scientist, you need a deep understanding of neuroscience, biology, and research methodologies, typically supported by an advanced degree (PhD or MD) in a related field. Familiarity with laboratory techniques, neuroimaging tools (like MRI or EEG), and data analysis software such as MATLAB or Python is essential. Critical thinking, problem-solving, and strong communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills are crucial for advancing scientific knowledge, conducting impactful research, and effectively sharing discoveries within the field.

What is the difference between Neural Science vs Neuroscience?

AspectNeural ScienceNeuroscience
Required CredentialsBachelor's or Master's in Neuroscience, Psychology, or related fieldsBachelor's or Master's in Neuroscience, Biology, or related fields
Work EnvironmentResearch labs, universities, healthcare settingsResearch institutions, hospitals, academic settings
Industry UsageFocuses on neural mechanisms, brain functions, neural networksBroad study of the nervous system, including neural and behavioral aspects

Neural Science and Neuroscience are closely related fields that often overlap. Neural Science typically emphasizes understanding neural mechanisms and brain functions at a detailed level, often with a focus on neural networks and systems. Neuroscience is a broader discipline that encompasses the study of the entire nervous system, including behavioral and cognitive aspects. Both fields require similar educational backgrounds and are used in research, healthcare, and academia, but Neural Science tends to be more specialized in neural processes.

What is neural science?

Neural science, also known as neuroscience, is the study of the nervous system, including the brain, spinal cord, and networks of neurons. It seeks to understand how these systems function at molecular, cellular, and behavioral levels, and how they control thought, emotion, and behavior. Neural science combines biology, psychology, chemistry, computer science, and other fields to explore how the brain processes information and how neurological disorders can be treated. Careers in neural science can involve research, clinical practice, or technology development related to brain health and cognitive function.

What can you do with a neural science degree?

A neural science degree prepares individuals for careers in research, healthcare, and technology, including roles such as neuroscientist, research scientist, clinical neuropsychologist, or data analyst. It often involves skills in laboratory techniques, data analysis, and understanding neural systems, with opportunities in academia, healthcare institutions, biotech companies, and tech firms working on brain-computer interfaces or AI applications.

What are 5 potential jobs for neurology?

Neural science graduates can pursue careers such as clinical neurologist, neuroscience researcher, neuropsychologist, neuroimaging technician, or neurological surgeon. These roles often require specialized training, certifications, and knowledge of neuroanatomy, neurophysiology, and medical tools like MRI or EEG equipment. Job opportunities are available in hospitals, research institutions, and healthcare facilities.

What kind of careers are in neuroscience?

Careers in neuroscience include roles such as research scientist, clinical neuropsychologist, neuroimaging technician, and pharmaceutical researcher. These positions often require strong backgrounds in biology, psychology, or related fields, along with skills in data analysis, laboratory techniques, and sometimes advanced degrees or certifications.
More about Neural Science jobs
Postdoctoral Appointee: Neural Networks, Onsite

Postdoctoral Appointee: Neural Networks, Onsite

Sandia National Laboratories

Albuquerque, NM • On-site

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Sandia National Laboratories rating

9.3

Company rating: 9.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories


Job description

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Job ID
698294
Location
Albuquerque, NM
Full/Part Time
Full-Time
Regular/Temporary
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About Sandia

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov


*These benefits vary by job classification.

What Your Job Will Be Like

We are seeking motivated postdoctoral candidates to advance the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications.

A strong background in theory (e.g., mathematics, theoretical neuroscience, computer science) is a necessity. Experience with artificial intelligence models or neural-inspired computing is strongly preferred.

On any given day, you may be called on to:

  • Develop and extend neural-inspired artificial intelligence algorithms;
  • Research theoretical principles and foundations necessary for model interpretability and introspection;
  • Program and test algorithms on neuromorphic and AI accelerator hardware;
  • Apply existing state-of-the-art methods and algorithms to domain data;
  • Engage with the community for conferences, workshops, proposals, and outreach;
  • Develop and support open-source research software packages;
  • Publish research results in high-quality journals and competitive conference venues.
    Due to the nature of the work, the selected applicant will be required to work onsite. Relocation provided for those who qualify.
Qualifications We Require
  • PhD in computer science, mathematics, theoretical neuroscience, physics, or a relevant field conferred within 5 years prior to start date.
  • Experience with theoretical or practical aspects of either neuromorphic algorithms or artificial intelligence.
  • Experience in a common programming language such as Python or C++.
  • Ability to obtain and maintain a DOE Q clearance.
Qualifications We Desire
  • Interest in developing neural-inspired and cutting-edge artificial intelligence algorithms (e.g., spiking neural networks, Bayesian neural networks, RNNs, LLMs) or in the deployment of such algorithms.
  • Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators.
  • Experience with neural network modeling languages (PyTorch,Tensorflow, Keras, etc.) or neural modeling languages.
  • Prior peer-reviewed research publications.
  • Demonstrated ability to work with others and contributed in a team environment.
  • Desire to work as part of a collaborative, multi-disciplinary team.
  • Willingness to be flexible in assignments and develop expertise in different areas of neuromorphic computing.
About Our Team

The department of Cognitive & Emerging Computing (Org. 01421) pursues foundational research and development of:

  • emerging general-purpose energy-efficient and beyond-Moore computing paradigms;
  • cognitive, brain-inspired and neuromorphic computing, human-machine interface technologies;
  • advanced heterogenous architectures based on integrated commodity components, special purpose accelerators, neural architectures and algorithms.
Posting Duration

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

Security Clearance

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Position Information

This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.

Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.


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About Sandia National Laboratories

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Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Albuquerque, NM, US

Year founded

1949