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$90.6K

$117.5K

How much do phd program jobs pay per year?

As of Jun 1, 2026, the average yearly pay for phd program in the United States is $90,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a PhD program, and why are they important?

To thrive in a PhD program, you need advanced subject knowledge, strong research skills, and typically a master's or bachelor's degree in a relevant field. Familiarity with academic databases, data analysis software (like SPSS, R, or Python), and citation management tools is often required. Exceptional critical thinking, time management, perseverance, and written and verbal communication skills set successful candidates apart. These abilities are crucial for conducting independent research, contributing original knowledge, and navigating the rigorous demands of doctoral study.

What are some common challenges students face during a PhD program and how can they be addressed?

PhD students often encounter challenges such as managing a heavy workload, maintaining motivation during long research projects, and balancing research with teaching or other commitments. Navigating ambiguous research directions and handling setbacks are also frequent hurdles. Building a strong support network, seeking regular feedback from advisors, and engaging with peers can help address these challenges. Many universities offer resources like counseling, writing workshops, and career guidance to support PhD students throughout their journey.

What is a PhD program?

A PhD program is an advanced academic course of study that culminates in a Doctor of Philosophy (PhD) degree. It typically involves several years of original research, coursework, and comprehensive exams, followed by the completion and defense of a dissertation. PhD programs are designed for individuals who wish to pursue careers in academia, research, or highly specialized professional fields. Admission is competitive and usually requires a master's degree or equivalent experience. Successful graduates are recognized as experts in their chosen fields.

What is the difference between Phd Program vs Research Scientist?

AspectPhd ProgramResearch Scientist
Required CredentialsTypically requires a bachelor's or master's degree; pursuing or completed PhDUsually requires a PhD or equivalent research experience
Work EnvironmentAcademic institutions, universities, research labs during studyIndustry labs, corporate R&D, research institutions
Employer & Industry UsageEducational and research institutionsPrivate companies, government agencies, biotech, tech firms
Common Search & Comparison IntentUnderstanding educational pathways and research rolesCareer progression and industry research roles

The main difference is that a Phd Program is an educational pathway focused on earning a doctorate degree, often in academia or research training, while a Research Scientist is a professional role in industry or research institutions, typically requiring a PhD and involving applied research work.

What cities are hiring for Phd Program jobs? Cities with the most Phd Program job openings:
What are the most commonly searched types of Phd Program jobs? The most popular types of Phd Program jobs are:
What states have the most Phd Program jobs? States with the most job openings for Phd Program jobs include:
Phd Program jobs near you

2026 PhD Residency, Agentic AI Resident, Moonshot Tools & Infrastructure

X, The Moonshot Factory

Mountain View, CA • On-site

$117.80K - $150.50K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
X, The Moonshot Factory, is a diverse group of inventors and entrepreneurs focused on building technologies that aim to improve the lives of billions. They are seeking a PhD Resident to develop and deploy next-generation moonshot development tools, applying advanced agentic AI and enhancing evaluation processes for innovative projects.
Responsibilities:
• Overhauling current moonshot evaluation tools by applying advanced agentic AI and conceptual blending techniques to fix mode collapse, ensure diverse ideation, and drastically improve the baseline quality of generated moonshots.
• Designing strict, programmatic evaluations comparing multi-agent performance against baseline frontier models.
• Refining architectures to optimize experiment generation, helping to design rapid, targeted "kill-shot" experiments that specifically address the hardest technical hurdles.
• Developing agent-driven tools to support techno-economic analysis (TEA).
• Helping to grow the ecosystem of AI applications built on top of X’s core semantic knowledge base.
Qualifications:
Required:
• Currently enrolled in a doctoral (PhD) program in Computer Science, Artificial Intelligence, or a related quantitative field.
• Deep, hands-on experience designing and evaluating complex LLM multi-agent systems.
• Proficiency in Python and modern ML tools and frameworks for agent orchestration (e.g., LangChain, LangGraph, PyTorch, HuggingFace).
• The ability to thrive in a high-velocity environment characterized by rapid iteration to solve complex technical hurdles.
• Strong cross-functional collaboration and communication skills.
Preferred:
• Research & Open-Source Portfolio: Open-source projects that demonstrate relevant skills in agentic workflows and/or publications in relevant conferences and journals.
• Domain expertise in one or more areas of natural sciences and engineering.
• Experience with techno-economic analysis and modeling.
• Experience developing evaluation pipelines for LLMs.
Company:
X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet. Founded in 2010, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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