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Temporary Computational Neuroscience Jobs (NOW HIRING)

Apply for Job Job ID 282203 Location Atlanta, Georgia Full/Part Time Full-Time Regular/Temporary ... neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for ...

Ph.D. in Developmental Biology, Neurobiology, Embryology, or a closely related discipline ... Proficiency with modern molecular, cellular, imaging, or computational techniques relevant to the ...

Post Doctoral Associate

Coral Gables, FL

$46K - $63K/yr

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... Strong quantitative data analysis, signal processing, and computational modeling skills, with hands ...

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Temporary Computational Neuroscience information

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How much do temporary computational neuroscience jobs pay per year?

As of Jul 20, 2026, the average yearly pay for temporary computational neuroscience in the United States is $107,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Computational Neuroscience Researcher, and why are they important?

To thrive as a Temporary Computational Neuroscience Researcher, you generally need a strong background in neuroscience, mathematics, computer science, and data analysis, often supported by a relevant degree or research experience. Familiarity with programming languages like Python or MATLAB, statistical analysis software, and neural modeling frameworks is typically required. Critical thinking, problem-solving, and effective collaboration are essential soft skills to excel in interdisciplinary research settings. These skills are crucial for interpreting complex neural data, developing computational models, and contributing meaningful insights to scientific projects within limited timeframes.

What is the difference between Temporary Computational Neuroscience vs Data Scientist?

AspectTemporary Computational NeuroscienceData Scientist
Required CredentialsAdvanced degrees in neuroscience, computational modelingDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageNeuroscience research, cognitive science, biotechBusiness analytics, machine learning, data analysis

Temporary Computational Neuroscience roles focus on modeling brain functions and neural data analysis, often within research settings. Data Scientists analyze large datasets across various industries, applying statistical and machine learning techniques. While both roles require strong analytical skills, Temporary Computational Neuroscience emphasizes neuroscience expertise, whereas Data Scientists focus on data-driven decision-making across sectors.

What is a Temporary Computational Neuroscience position?

A Temporary Computational Neuroscience position is a time-limited job in which individuals apply mathematical, computational, and theoretical techniques to understand how the nervous system works. These roles are often found in academic or research settings and may involve tasks such as developing computer models of neural networks, analyzing brain imaging data, or supporting ongoing research projects. Temporary positions are typically offered for specific research grants, projects, or to cover short-term staffing needs, and can range from a few months to a couple of years. This role is ideal for gaining research experience, especially for students, recent graduates, or professionals exploring a career in neuroscience.

What types of projects do Temporary Computational Neuroscience professionals typically work on, and how do they collaborate with other team members?

Temporary Computational Neuroscience professionals are often involved in short-term research projects such as developing neural network models, analyzing large-scale brain imaging data, or contributing to ongoing experiments. They frequently collaborate with neuroscientists, data analysts, and software engineers to interpret results and refine computational models. Effective communication and adaptability are crucial, as projects can be fast-paced and multidisciplinary. This environment offers valuable exposure to cutting-edge research methods and can serve as a stepping stone for more permanent roles or advanced academic opportunities.
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What cities are hiring for Temporary Computational Neuroscience jobs? Cities with the most Temporary Computational Neuroscience job openings:
What are the most commonly searched types of Computational Neuroscience jobs? The most popular types of Computational Neuroscience jobs are:
What states have the most Temporary Computational Neuroscience jobs? States with the most job openings for Temporary Computational Neuroscience jobs include:
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Infographic showing various Temporary Computational Neuroscience job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $107,582 per year, or $51.7 per hour.
Postdoctoral Fellow -Psychology (Himmelstein)

Postdoctoral Fellow -Psychology (Himmelstein)

Georgia Tech

Atlanta, GA • On-site

$47K - $64K/yr

Other

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


Georgia Tech rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

275th of 555 rated colleges and universities


Job description

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Job ID
277834
Location
Atlanta, Georgia
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About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

  1. Students are our top priority.
  2. We strive for excellence.
  3. We thrive on diversity.
  4. We celebrate collaboration.
  5. We champion innovation.
  6. We safeguard freedom of inquiry and expression.
  7. We nurture the wellbeing of our community.
  8. We act ethically.
  9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Psychology

The School of Psychology at the Georgia Institute of Technology places a strong emphasis on scientific research, discovery & innovation, and interdisciplinary education. Housed in the beautifully renovated J. S. Coon Building, a historical landmark in the center of campus, the School is a member of the College of Sciences. Faculty, graduate, and undergraduate students alike engage in an array of wide-ranging topics related to the field of Psychology. The School categorizes this research into five program areas: Cognition and Brain Science, Cognitive Aging, Engineering Psychology, Industrial/Organizational psychology, and Quantitative Psychology.

Georgia Tech's commitment to interdisciplinary collaboration foster fruitful interactions between psychology faculty and faculty in the sciences, computing, business, engineering, design, and liberal arts. Located in the heart of Atlanta, one of the nation's most academic, entrepreneurial, creative and distinct cities with excellent quality of life, the School actively develops and maintains a rich network of academic and applied behavioral science/industrial partnerships in and beyond Atlanta.

Location

Atlanta, GA

Job Summary

The Subjective Uncertainty and Belief Lab at Georgia Institute of Technology is seeking a Postdoctoral Fellow under the supervision of PI Mark Himmelstein and in collaboration with David Budescu of Fordham University.

Responsibilities

The responsibility of the position is to support an NSF grant funded project for using planned missing data research designs to estimate how people use advice to revise their judgments without requiring them to directly report their independent prior beliefs first. There are two directions this position could potentially be focused on, which would ideally overlap:

  • Developing new cognitive models for how people revise probability judgments.
  • Extending research designs that use planned missing data methods for addressing measurement reactivity areas beyond just advice taking research.
Required Qualifications

Ph.D. in Psychology, Computational Social Science, Economics, Data Science or a related field by the start date.

Preferred Qualifications
  • Theoretical background in topics related to judgment and decision making, preferably advice taking research and Judge Advisor Systems.
  • Experience in either psychometric or computational cognitive modeling.
  • Experience with missing data imputation methods.
  • A strong track record of peer reviewed publications and presentations.
  • Strong interpersonal and communication skills.
Required Documents to Attach

Applications must be submitted online as PDF files via (https://hr.gatech.edu/careers) and should include:

  • CV
  • A brief (1-2 page) research statement
  • Names of at least three references willing to provide letters of recommendation.
Contact Information

For more information, please contact Mark Himmelstein at mhimmelstein3@gatech.edu.

USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: https://www.usg.edu/policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia (usg.edu).

Other Information

This position is for one year with potential for renewal.

Background Check

The candidate of choice will be required to pass a pre-employment background screening. http://policylibrary.gatech.edu/employment/pre-employment-screening.


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About Georgia Tech

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Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with great economic and cultural strengths. The Institute is a member of the University System of Georgia, the Georgia Research Alliance, and the Association of American Universities. Georgia Tech prides itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion.

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10,000+ Employees

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Year founded

1888

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