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Cognitive Science Phd Jobs in Spring Valley, CA (NOW HIRING)

Apple, Inc.

Data Scientist

San Diego, CA · On-site

... PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the ...

Apple

Data Scientist

San Diego, CA · On-site

... PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the ...

Apple

Data Scientist

San Diego, CA · On-site

... PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the ...

Apple

Data Scientist

San Diego, CA

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the ...

Apple

Data Scientist

San Diego, CA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

... PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the ...

Apple Inc.

Data Scientist

San Diego, CA · On-site

$171.60 - $302.20/hr

  • Medical

  • Dental

  • Retirement

PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field * Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and ...

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Cognitive Science Phd information

See Spring Valley, CA salary details

$24K

$58.7K

$78.3K

How much do cognitive science phd jobs pay per year?

As of Aug 20, 2026, the average yearly pay for cognitive science phd in Spring Valley, CA is $58,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $63,400.00 per year, depending on experience, location, and employer.

What is a cognitive science PhD?

A Cognitive Science PhD is a doctoral degree focused on the interdisciplinary study of the mind and intelligence. This field combines elements from psychology, neuroscience, linguistics, computer science, philosophy, and anthropology to understand how humans and other intelligent systems perceive, think, learn, and behave. Students in a Cognitive Science PhD program typically conduct original research, develop expertise across multiple disciplines, and prepare for careers in academia, industry, or government. The degree usually takes between 4 to 6 years to complete and culminates in a dissertation that contributes new knowledge to the field.

What are some common interdisciplinary collaborations for cognitive science PhD students, and how do they impact research projects?

Cognitive Science PhD students frequently collaborate with researchers in fields such as psychology, neuroscience, computer science, linguistics, and philosophy. These interdisciplinary teams enhance research by providing access to diverse methodologies, data sources, and theoretical perspectives. Collaborating across disciplines can lead to innovative approaches and more comprehensive findings, though it also requires strong communication and adaptability to integrate different research traditions. Such experiences are highly valued in both academia and industry, as they build versatile problem-solving skills and foster a collaborative mindset.

What are the key skills and qualifications needed to thrive as a cognitive science PhD, and why are they important?

To thrive as a Cognitive Science PhD, you need a strong interdisciplinary background in psychology, neuroscience, computer science, linguistics, and philosophy, typically supported by advanced research experience and a doctoral degree. Proficiency with data analysis tools (such as Python, MATLAB, or R), neuroimaging software, and statistical modeling is commonly required. Exceptional critical thinking, problem-solving, and communication skills help you collaborate across disciplines and convey complex ideas clearly. These skills are vital for driving innovative research, publishing impactful work, and contributing to advancements in understanding human cognition.

What is the difference between Cognitive Science Phd vs Data Scientist?

AspectCognitive Science PhdData Scientist
Required CredentialsPhD in Cognitive Science or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch, academia, AI development, cognitive modelingData analysis, predictive modeling, machine learning applications

While both roles involve analytical skills and data handling, a Cognitive Science Phd focuses on understanding human cognition, often in research or AI development, whereas a Data Scientist applies statistical and machine learning techniques to solve business problems across various industries.

Is a cognitive science PhD worth it?

A cognitive science PhD can be valuable for careers in research, academia, or specialized industry roles such as AI development or human-computer interaction. However, it requires significant time and financial investment, and job prospects often depend on research experience, interdisciplinary skills, and the ability to publish or present findings.

What careers with a cognitive science PhD?

A cognitive science PhD prepares individuals for careers in research, academia, human-computer interaction, user experience design, artificial intelligence, and data analysis. Graduates often work as university professors, research scientists, UX researchers, or in roles involving cognitive modeling and machine learning, utilizing skills in experimental design, programming, and statistical analysis.

What do you do with a PhD in cognitive science?

A PhD in cognitive science prepares individuals for research, teaching, and applied roles in academia, industry, or government. Graduates often work as researchers, data analysts, user experience designers, or in artificial intelligence development, utilizing skills in experimental design, programming, and data analysis. Career paths may also include consulting, policy advising, or roles in technology companies that focus on human cognition and behavior.

What are popular job titles related to Cognitive Science Phd jobs in Spring Valley, CA?

For Cognitive Science Phd jobs in Spring Valley, CA, the most frequently searched job titles are:

What job categories do people searching Cognitive Science Phd jobs in Spring Valley, CA look for?

The top searched job categories for Cognitive Science Phd jobs in Spring Valley, CA are:

What cities near Spring Valley, CA are hiring for Cognitive Science Phd jobs?

Cities near Spring Valley, CA with the most Cognitive Science Phd job openings:

Cognitive Science Phd jobs near you
Infographic showing various Cognitive Science Phd job openings in Spring Valley, CA as of July 2026, with employment types broken down into 3% As Needed, 67% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.

Data Scientist

Apple, Inc.

San Diego, CA • On-site

Other

Re-posted 15 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations! You'll work with QE and Algorithm teams to build metrics around algorithm performance, turning user behavior into quality specifications and measurable standards that teams can consistently apply. You will make sure new customer facing algorithms are validated effectively using data and repeatable processes. This includes defining the right data, ensuring quality of data and labeling, and running tests on datasets.
Description
This role is focused on defining algorithm quality. Day-to-day work involves writing quality specifications, establishing benchmarks, developing test scenario frameworks, and partnering closely with algorithm, platform, and UX research teams to identify where quality standards are missing or misaligned with user outcomes.
Minimum Qualifications
MS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field
5+ years of experience in quality engineering, test strategy, or algorithm/ML evaluation
Experience writing quality specifications or test plans for complex technical systems adopted by multiple teams
Experience with signal-level sensor algorithms
Familiarity with statistical methods used in algorithm evaluation, such as A/B testing, regression analysis, and significance testing
Working proficiency with Python for data exploration and analysis
Preferred Qualifications
PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field
Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the difference between a metric shifting and quality actually changing
Experience defining test scenario coverage models and setting benchmarks for systems where ground truth is ambiguous or user-dependent
Experience building consensus on quality standards across teams with competing priorities
Ability to write specifications precise enough for engineers to implement automation directly, without ambiguity
Background in UX research, HCI, or human factors, with experience grounding technical quality definitions in human behavior
Familiarity with embedded platform constraints
Experience with causal inference or advanced experimental design for algorithm evaluation

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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