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Decision Making Neuroscience Postdoc Jobs (NOW HIRING)

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

... Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in ... Postdoctoral Associate will collaborate with the Principal Investigator and team to design, conduct ...

Nemours-Children

Neuroscientist, Research

Orlando, FL · On-site

$191K/yr

Provide subject-matter expertise to influence organizational strategy and decision-making ... postdoctoral work. Expertise in neuroscience and neurobiology, neurophysiology, or related ...

Harvard University

Postdoctoral Fellow

Cambridge, MA · On-site

$54K - $73K/yr

... postdoc position is immediately available in the Uchida/Watabe-Uchida laboratory at Harvard ... decision-making. We seek an individual from a various background with an interest in animal ...

Rutgers University

NJ · On-site

... neuroscience, advanced biotechnology and medicine, environmental and occupational health, and ... decision-making. The laboratory uses state-of-the-art behavioral, neurophysiological, circuit, and ...

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How much do decision making neuroscience postdoc jobs pay per year?

As of Sep 10, 2026, the average yearly pay for decision making neuroscience postdoc in the United States is $379,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $400,000.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a decision making neuroscience postdoc?

A Decision Making Neuroscience Postdoc is a researcher who has completed their doctoral studies and is conducting advanced research on how the brain supports decision-making processes. This role typically involves designing and running experiments, analyzing neuroimaging or behavioral data, and publishing results in academic journals. The research often explores how individuals make choices, the neural circuits involved, and how these processes can be affected by factors like emotion, reward, or neurological conditions. Postdocs in this field usually work in university labs or research institutes alongside senior scientists and students.

What are the key skills and qualifications needed to thrive as a decision making neuroscience postdoc?

To excel as a Decision Making Neuroscience Postdoc, you need a PhD in neuroscience, psychology, or a related field, with a strong background in experimental design and data analysis. Experience with neuroimaging tools (such as fMRI or EEG), programming languages (like Python or MATLAB), and familiarity with statistical analysis software is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for collaboration and sharing complex findings. These qualifications and skills enable rigorous research, innovative discoveries, and successful teamwork in advancing our understanding of neural mechanisms behind decision making.

What are some common challenges faced by a decision making neuroscience postdoc, and how can they be addressed?

Decision Making Neuroscience Postdocs often navigate challenges such as designing complex experiments, managing large datasets, and integrating interdisciplinary methods from neuroscience, psychology, and computational modeling. Balancing independent research with collaborative projects is common, and staying updated with rapidly advancing techniques can be demanding. To address these challenges, postdocs benefit from strong mentorship, active engagement with lab and departmental seminars, and regular collaboration with colleagues in related fields. Building a supportive professional network and seeking feedback on experimental design can also foster success in this dynamic environment.

What are popular job titles related to Decision Making Neuroscience Postdoc jobs?

For Decision Making Neuroscience Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Decision Making Neuroscience Postdoc job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $379,519 per year, or $182.5 per hour.

Volunteer Research Assistant: Memory & Decision-Making Lab

Milwaukee, WI • On-site

HaML Lab
See more jobs at HaML Labexternal

$19 - $26/hr

Other

Posted 8 days ago

Job description

The Human and Machine Learning (HaML) Lab in the Department of Psychological and Brain Sciences at the University of Wisconsin–Milwaukee is seeking a research assistant. Lab studies will examine how human memory supports optimal decision making in both familiar contexts and new situations, using behavioral and neuroimaging data and model simulations. Lab studies will examine how human memory supports optimal decision making in both familiar contexts and new situations, using behavioral and neuroimaging data and model simulations. This volunteer position that will last for two semesters. This position is ideal for those interested in gaining research experience and the opportunity to present at conferences and co-author publications.

Background

The HaML Lab studies how humans acquire and apply knowledge to make informed decisions in a complex and uncertain world. We aim to develop a more comprehensive theory of human learning that takes into account memory limitations, motivation, and uncertainty, while explaining how memories are formed and transformed through memory consolidation. We use a combination of behavioral methods from cognitive psychology and neural measures obtained using neuroimaging, which are used to inform development of neurally informed machine learning models that mimic human behavior and brain activity. We ultimately aim to have an impact beyond the lab by informing understanding of memory problems and memory-related disorders such as PTSD. The HaML Lab is directed by Neal Morton, PhD . See the research page for more information about Dr.Morton’s previous research.

Roles

To participate in research, undergraduate researchers must first undergo Level I training in one or more of the specific research roles. Level I training involves reading about best practices and passing a short quiz. It’s most common to start with being a Study Proctor, who helps run experimental sessions. Researchers can also get involved with designing studies, developing tasks, supervising data collection for a study, or conducting literature reviews. Undergraduate Researchers can be certified as having completed training for various research roles:

  • Study Designer: Creates the experimental design for a study.
  • Study Developer: Takes an experimental design and implements it as a task.
  • Study Proctor: Runs participants through a task to collect data.
  • Study Coordinator: Supervises data collection for a study and performs quality assurance checks on the data.

Any completed training will be displayed on your profile on the lab website, which you can show to potential employers or graduate school advisors. After completing Level I training, researchers can work on a project. If they complete a certain amount of research through that project, then they will qualify for Level II certification, which then enables them to take on an independent project like writing a literature review on a topic they’re interested in or designing and running a new study. Researchers who complete an independent project and create an approved research product, such as a paper, thesis, or cognitive task, qualify for Level III certification, which indicates that they are skilled at performing some aspect of research independently.

  • Hands-on training in cutting-edge psychology and neuroscience research techniques.
  • Experience and training in working with data, data visualization, and science communication.
  • Opportunities to present research at national and local conferences, network with leading neuroscientists.
  • Professional development for graduate school or research positions.
  • A supportive culture that encourages time off and a healthy work-life balance.
Minimum Qualifications
  • Some relevant coursework in psychology, neuroscience, math, and/or statistics.
Preferred Qualifications
  • Experience with research, especially research studies with human participants.
  • Programming experience.
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