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Phd In Mathematics Jobs in Pennsylvania (NOW HIRING)

Advanced degree (MSc/PhD) in a quantitative field * Asset/derivatives modeling experience * Math/Finance background * Good programming skills (C++/Python) Working Conditions: * Hybrid office ...

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred. * 5-7 years of experience in the application of medical statistics ...

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Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

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

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

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. Opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

Is a PhD in mathematics worth it?

A PhD in mathematics 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, it typically involves several years of study and may not guarantee higher salaries compared to other advanced degrees or industry experience.

What jobs can you get with a PhD in mathematics?

A PhD in mathematics qualifies individuals for roles such as research mathematician, data scientist, quantitative analyst, operations researcher, or university professor. These positions often require strong analytical, problem-solving, and programming skills, and may involve working in academia, finance, technology, or government agencies.

What are popular job titles related to Phd In Mathematics jobs in Pennsylvania?

For Phd In Mathematics jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Phd In Mathematics jobs?

Cities in Pennsylvania with the most Phd In Mathematics job openings:

Infographic showing various Phd In Mathematics job openings in Pennsylvania as of August 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Research Lead - AI Security Portfolio

RAND Corporation

Pittsburgh, PA

Full-time

Medical, Life, PTO

Re-posted 20 days ago


Job description

Job Type:

Term (Fixed Term)

Overview

RAND's Center on AI, Security, and Technology (CAST), part of the Global and Emerging Risks (GER) Division, is seeking a technical and strategic leader to serve as Senior Research Lead - AI Security Portfolio.

CAST conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good.

In this senior leadership role, you will oversee a large research and engineering portfolio focused on securing advanced AI systems, understanding their cyber capabilities, and informing the policy frameworks that govern them.

You will report to CAST Founding Director, Sella Nevo, and lead two major research teams composed of 15+ researchers and engaged in projects that span technical AI security research, cyber capability evaluation, and infrastructure development. Your work will guide RAND's broader efforts to ensure AI technologies are safe, secure, and aligned with U.S. and allied national security priorities.

As Portfolio Lead, you will:

  • Define and drive RAND's research agenda on secure AI systems, establishing priorities across multiple teams and programs.

  • Lead complex, cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis.

  • Mentor and manage senior technical staff, project leaders, and researchers across a portfolio of 15-30 people.

  • Translate technical findings into actionable insights for policymakers, regulators, and industry leaders.

  • Oversee development of AI-specific threat models, security architectures, and evaluation tools that assess cyber risks and resilience.

  • Engage directly with senior government and industry stakeholders to ensure RAND's research informs decisions at the highest levels.

  • Represent RAND at technical and policy forums, including national security working groups, agency briefings, and expert panels.

This position is structured as a focused three-year appointment to accelerate research and provide rigorous analysis that informs evidence-based policymaking in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed with options for longer-term employment at RAND thereafter.

RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As AI Security Portfolio Lead, you will uphold that standard while guiding cutting-edge research with real-world policy impact.

Qualifications

All research leadership positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity.

Required:

  • Technical experience in AI security, cybersecurity engineering, or adjacent emerging technology fields.

  • Demonstrated success leading large technical or research programs, including managing multidisciplinary teams and budgets.

  • Proven experience designing and delivering complex projects from concept through completion.

  • Deep understanding of AI threat models, system vulnerabilities, and cyber capability evaluation.

  • Strong ability to communicate complex technical issues to senior non-technical stakeholders.

  • Familiarity with U.S. cybersecurity policy processes and agencies.

  • Excellent written and verbal communication skills.

Preferred:

  • Background in leadership at frontier AI labs, startups, or hyper-scalers

  • Background in AI or cybersecurity R&D, red team operations, or advanced persistent threat (APT) defense.

  • Experience developing or overseeing secure infrastructure for AI model training and deployment.

  • Familiarity with AI/ML hardware and software stacks (e.g., GPUs, TPUs, CUDA, PyTorch, TensorFlow).

  • Experience working in or with government on AI or cybersecurity policy.

  • Graduate of CNODP, RIOT, FORGE, or equivalent elite technical program.

Education Requirements

PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required, with 6+ years of professional experience.

OR

Master's degree in the fields listed above with 9+ years of professional experience, is required.

OR

Bachelor's degree in the fields listed above with 12+ years of professional experience, is required.

Master's or PhD preferred.

Security Clearance

Ability to obtain and maintain a U.S. government clearance is preferred but not required.

Location

We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US will also be considered.

Writing or Code Sample

Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains.

Term

This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment.

Salary Range: $167,300 - $261,400

RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.

Equal Opportunity Employer