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Internship Data Science Physics Jobs in Goleta, CA

Analyze infrared image data to understand noise, drift, stability, or other behaviors. * Build ... Ability to work on site in Goleta, California, for the duration of the internship. Education ...

C++ Software Engineer

Goleta, CA · On-site

$120K - $200K/yr

... processing, data fusion, asset control, and modeling and simulation in C++. This software ... Bachelor's or advanced degree in computer science, engineering, physics, or math * Minimum of 5 ...

Simulation Software Engineer

Goleta, CA · On-site

$110K - $180K/yr

Bachelor's or advanced degree in computer science, engineering, physics, or math and 2 years of ... Experience working with classified data and secure computing environments * Exposure to aerospace ...

... physics, fluid mechanics, thermodynamics, or materials science who are eager to apply their ... Strong programming skills in Python, MATLAB, or C++ for simulation automation and data analysis.

Senior Radar Systems Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

... and advance scientific discovery. Our team delivers data at scale with unmatched quality ... physics, or computer science). * 5+ years of professional experience in signal / image processing ...

... and advance scientific discovery. Our team delivers data at scale with unmatched quality ... physics, or computer science). * 5+ years of professional experience in signal / image processing ...

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Internship Data Science Physics information

See Goleta, CA salary details

$12

$24

$45

How much do internship data science physics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship data science physics in Goleta, CA is $24.28, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $26.44 per hour, depending on experience, location, and employer.

What is an internship data science physics?

Internship Data Science Physics positions are temporary roles designed for students or recent graduates with a background in physics who are interested in applying data science techniques to solve scientific and analytical problems. These internships typically involve working with large datasets, performing statistical analyses, building models, and interpreting results within a physics-related context. Interns gain hands-on experience with programming languages like Python or R, machine learning tools, and data visualization methods, often contributing to research or product development teams. These roles help bridge academic knowledge in physics with practical data science skills, preparing interns for careers in research, technology, or industry.

What types of projects or tasks can I expect to work on during an internship data science physics?

As a Data Science Physics intern, you can expect to work on projects that involve analyzing large datasets derived from physical experiments or simulations, developing predictive models, and visualizing complex phenomena. Typical tasks might include cleaning and preprocessing data, applying statistical or machine learning techniques, and collaborating with researchers to interpret results. You may also assist in automating data workflows or contributing to scientific publications, providing a dynamic and collaborative environment that bridges data science and physics.

What are the key skills and qualifications needed to thrive as an internship data science physics, and why are they important?

To thrive as an Internship Data Science Physics, you need a solid grounding in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Python, MATLAB, or R, and experience using statistical or machine learning libraries are commonly expected. Strong problem-solving, analytical thinking, and effective communication skills help interns stand out in team-based research environments. These competencies ensure you can effectively analyze complex data, contribute to scientific discoveries, and present insights clearly.

What is the difference between Internship Data Science Physics vs Data Analyst Intern?

AspectInternship Data Science PhysicsData Analyst Intern
Required SkillsProgramming, data analysis, physics concepts, statistical methodsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageResearch, scientific computing, tech innovationBusiness intelligence, reporting, decision-making

Internship Data Science Physics focuses on applying data science skills within physics and research contexts, often involving scientific computing and experimental data. In contrast, Data Analyst Internships are centered on analyzing business data, creating reports, and supporting decision-making processes. Both roles require analytical skills and familiarity with data tools, but their environments and applications differ significantly.

What job categories do people searching Internship Data Science Physics jobs in Goleta, CA look for?

The top searched job categories for Internship Data Science Physics jobs in Goleta, CA are:

What cities near Goleta, CA are hiring for Internship Data Science Physics jobs?

Cities near Goleta, CA with the most Internship Data Science Physics job openings:

Infographic showing various Internship Data Science Physics job openings in Goleta, CA as of August 2026, with employment types broken down into 16% Internship, 66% Full Time, 14% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $50,505 per year, or $24.3 per hour.

Postdoctoral Researcher-- Foundations of a Resilient Microbiome (2 Positions)

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


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7.9

Company rating: 7.9 out of 10

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Job description

Position description
The University of California, Santa Barbara (UCSB) California NanoSystems Institute (CNSI) invites applications for two (2) Postdoctoral Research positions in machine learning and computational modeling, focused on identifying pathways involving the gut-brain axis that link the infant microbiome with neurodevelopment and Autism Spectrum Disorder (ASD). This project is part of the Wellcome Leap FORM initiative: Foundations of a Resilient Microbiome (Wellcome Leap Form) and involves closed-loop collaborations between experiments, modeling, and lived experiences (Wellcome Leap Awards).
Statistical and dynamical models will be developed based on metabolomic and metagenomic data obtained from experiments conducted in UCSB's ExFAB BioFoundry for Extreme and Exceptional Fungi, Archea, and Bacteria (ExFAB website) in parallel with the modeling effort. Perturbation, dynamic trajectory, stability, and resilience analysis will follow a closed-loop format linking AI and dynamical models with experimental protocols and outcomes. The successful candidate will contribute to this work with freedom to pursue creative interests related to the project. They will have access to the broad multidisciplinary research environment at UCSB, including the REAL AI initiative, which focuses on developing AI-powered digital twins for complex systems, the Departments of Physics, Ecology, Evolution and Marine Biology, Psychology and Brain Sciences, the College of Engineering, and the Koegel Autism Center. Link to REAL Al website.
Qualifications
Basic qualifications (required at time of application)
Applicants must have completed all requirements for a PhD (or equivalent) in Physics, Computer Science, Bioengineering, Ecology, or a related field, except the dissertation, at the time of application.
Additional qualifications (required at time of start)
PhD in Physics, Computer Science, Bioengineering, Ecology, or a related field required at the time of appointment.
Preferred qualifications
• Coding fluency in Python for machine learning and statistical analyses.
• Excellent statistical and/or causal inference skills.
• Experience with modeling and statistical analysis of metagenomic and metabelomic data.
• Strong background in ecological theory and modeling.
• Experience leading peer-reviewed publications and/or reports.
• Excellent communication and collaboration skills, with an ability to work effectively in a multidisciplinary team.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Research

Reference requirements
  • 3 letters of reference required
Apply link: https://recruit.ap.ucsb.edu/JPF03089
Help contact: alexis_torres@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Santa Barbara, CA

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