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Entry Level Cognitive Science Research Jobs (NOW HIRING)

The IU Behavioral Science Lab (Psychological & Brain Sciences) A major center for judgment and decision-making research, evidence accumulation modeling, and computational cognitive science. The Luddy ...

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Entry Level Cognitive Science Research information

What types of projects and responsibilities can I expect as an entry-level cognitive science research assistant?

As an entry-level cognitive science research assistant, you can expect to be involved in tasks such as literature reviews, data collection (often through experiments or surveys), and basic data analysis using statistical software. You'll likely support senior researchers in designing experiments and may help recruit study participants. Collaboration is common, so you'll work closely with team members from diverse backgrounds, such as psychology, neuroscience, and computer science. This role provides valuable exposure to interdisciplinary research and is an excellent foundation for further academic or industry advancement.

What is an entry level cognitive science research position?

An entry level cognitive science research position involves assisting in studies that explore how humans and other intelligent systems think, learn, and process information. These roles typically include tasks such as collecting and analyzing data, running experiments, conducting literature reviews, and supporting senior researchers with project logistics. Entry level researchers often work under supervision to gain hands-on experience in experimental design, data analysis, and cognitive theory. These positions are common in academic, government, and private research settings and serve as a stepping stone for advanced research or graduate study.

What are the key skills and qualifications needed to thrive as an Entry Level Cognitive Science Researcher, and why are they important?

To thrive as an Entry Level Cognitive Science Researcher, you need a solid background in psychology, neuroscience, or computer science, typically with a bachelor's degree in cognitive science or a related field. Familiarity with data analysis software (such as SPSS, R, or Python), experimental design tools, and sometimes basic programming skills are commonly required. Strong analytical thinking, attention to detail, and effective communication make candidates stand out in collaborative research settings. These competencies are crucial for producing high-quality research, accurately interpreting data, and contributing effectively to interdisciplinary teams.
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Research Scientist, Machine Learning / AI

Basis Research

New York, NY โ€ข On-site

$120K - $180K/yr

Full-time

Posted 21 days ago


Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
We expect you to:
  • Have demonstrated an ability to do scientific research that is of high-quality. Possible ways to demonstrate this include publications, technical reports, and software projects.

In addition, the following would be an advantage:
  • PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
  • Excited about solving real world problems and having positive societal impact.
Responsibilities
  • Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making.
  • In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems
  • Distill insights from solving problems into more general mathematical and computational theories
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Cambridge, MA.
  • Salary range: Competitive salary and bonuses

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.