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$8

$27

$38

How much do phd math jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for phd math in California is $27.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $28.94 per hour, depending on experience, location, and employer.

Is a PhD in math worth it?

A PhD in math prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, the degree involves significant time and financial investment, and job prospects vary depending on the industry and geographic location.

What are PhD Math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What jobs can a math PhD get?

A math PhD can pursue careers in academia as a researcher or professor, as well as in industry roles such as data scientist, quantitative analyst, operations researcher, or software engineer. These positions often require strong analytical, programming, and problem-solving skills, and may involve working with large datasets, mathematical modeling, or algorithm development.

What do people with a PhD in mathematics do?

People with a PhD in mathematics often work as researchers, data scientists, quantitative analysts, or university professors. They apply advanced mathematical theories, modeling, and statistical tools to solve complex problems across industries such as finance, technology, academia, and government. These roles typically require strong analytical skills and proficiency with programming languages like Python or R.

What are the key skills and qualifications needed to thrive as a PhD-level Mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and research institutions, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.
What are popular job titles related to Phd Math jobs in California? For Phd Math jobs in California, the most frequently searched job titles are:
What job categories do people searching Phd Math jobs in California look for? The top searched job categories for Phd Math jobs in California are:
What cities in California are hiring for Phd Math jobs? Cities in California with the most Phd Math job openings:
Phd Math jobs near you

PhD Research Intern - Multimodal AI (Fall 2026)

Dolby

San Francisco, CA • On-site

$62/hr

Full-time, Internship

Posted 9 days ago

Job description

Join the leader in entertainment innovation and help us design the future. The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. As a valued member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences.
As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
The Multimodal Lab is looking for a talented, self-motivated PhD student to explore multimodal AI models for multimodal source separation, and spatial media content creation and generation. This is a research-focused role ideal for candidates passionate about pushing the boundaries of audio-visual AI at the intersection of deep learning, signal processing, and generative media.
Responsibilities
  • Develop and apply multimodal AI architectures that integrate audio, visual, and/or language modalities for joint understanding and generation

  • Design, implement and train advanced multimodal AI models for spatial media content creation and generation, including multimodal source separation and localization

  • Prepare and curate high-quality datasets through data augmentation and synthetic data generation

  • Evaluate proposed models against state-of-the-art research benchmarks.

  • Prototype and validate the developed algorithms in realistic use cases

  • Present research findings and contribute to patent applications and scientific publications.

Qualifications
  • Currently enrolled in aPhD program in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field

  • Strong background in deep learning with proven ability of applying it to multimedia research challenges

  • Deep familiarity with leading AI model paradigms, including large language models (LLMs) and generative models (e.g., diffusion, VAE, GAN)

  • Proficiency in Python and at least one deep learning framework

  • Strong mathematical foundation

  • Excellent written and verbal communication skills

We will review applications on a rolling basis. For the best chance to have your resume reviewed and considered, we recommend submitting your application by June 26, 2026.
Eligibility
Currently enrolled in PhD program. Recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday - Friday for 12 weeks between September 2026 - December 2026.
The start date for this internship is as follows (please note these dates are not flexible):
  • September 21, 2026

The San Francisco/Bay Area base hourly range for this internship position is $62/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12
Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

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