1

Phd Math Jobs in Washington (NOW HIRING)

Showing results 21-40

Phd Math information

See Washington salary details

$9

$31

$43

How much do phd math jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for phd math in Washington is $31.47, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $33.22 per hour, depending on experience, location, and employer.

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 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 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.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they tend to earn higher salaries, often exceeding $100,000 annually, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis, where advanced analytical and problem-solving skills are essential. It can also open opportunities in industry sectors such as finance, technology, and engineering, often requiring expertise in mathematical modeling and programming tools like MATLAB or Python.

What is the salary of a PhD in math?

A PhD in math typically earns between $70,000 and $120,000 annually, depending on the industry, location, and experience. Academic positions such as university professors may have lower starting salaries but offer research and teaching opportunities, while industry roles in finance, data science, or technology tend to offer higher compensation.

What job categories do people searching Phd Math jobs in Washington look for?

The top searched job categories for Phd Math jobs in Washington are:

What cities in Washington are hiring for Phd Math jobs?

Cities in Washington with the most Phd Math job openings:

Infographic showing various Phd Math job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $65,461 per year, or $31.5 per hour.

2027 - PhD Graduate - Radar Signal Processing and Sensor Systems Engineer

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Description
Are you completing or recently finished a PhD and eager to apply your technical depth to real-world national security challenges? Do you want to help develop radar signal processing, sensing, and sensor system capabilities that move quickly from concept to mission impact? If so, we're looking for someone like you to join our team at APL.
The Multi-Domain Sensing Architectures and Data Fusion Group develops advanced radar, signal processing, sensor system, classification, discrimination, and mission analysis capabilities that enable next-generation defense solutions. Our team combines expertise in radar and sensor systems, waveform and phenomenology analysis, modeling and simulation, systems analysis, algorithm development, and selective data fusion to solve complex technical challenges for our nation. We work closely with government sponsors and multidisciplinary teams to transition innovative concepts into operational capabilities, while fostering a collaborative environment that encourages technical excellence, technical leadership, innovation, and professional growth.
The successful candidate will contribute across the lifecycle of advanced sensing capabilities, including radar and signal processing algorithm development, modeling and simulation, system analysis, architecture evaluation, verification and validation, test data analysis, and transition of innovative technologies into operational applications. This role is designed for new PhD graduates who want to use deep technical training in an applied environment while growing into technical leadership responsibilities early in their careers.
As a Radar Signal Processing and Sensor Systems Engineer, you will:
  • Develop, evaluate, and mature advanced signal processing, radar system, sensing, classification, and discrimination algorithms within complex system and system-of-systems architectures.
  • Take ownership of technical work packages, analyses, prototypes, or modeling tasks and drive them from problem definition through results, recommendations, and transition planning.
  • Support concept development, requirements analysis, architecture trades, and performance assessment for advanced radar and sensor systems.
  • Evaluate end-to-end radar and sensor system performance, including detection, estimation, discrimination, classification, and operational effectiveness measures.
  • Perform verification, validation, test data analysis, and performance assessment for prototype and operational sensing capabilities.
  • Analyze complex sensor systems and architectures, including radar phenomenology, waveform considerations, sensor integration, resource management, and system-of-systems interactions.
  • Design and execute modeling, simulation, analysis, verification, and validation studies to assess system performance and develop quantitative recommendations for future capabilities.
  • Collaborate with multidisciplinary teams, government sponsors, and external organizations to identify, analyze, and solve challenging technical problems spanning signal processing, radar systems, sensor architectures, algorithms, and operational concepts.
  • Provide technical leadership by coordinating small technical efforts, shaping analysis approaches, integrating inputs from teammates, and communicating clear, data-driven recommendations.
  • Develop innovative algorithmic prototypes, system analyses, and technical solutions that advance state-of-the-art applied sensing, radar, discrimination, and classification capabilities.
  • Apply tracking and data fusion methods where they support broader sensor system performance objectives, without making them the primary focus of the role.

Qualifications
You meet our minimum qualifications if you...
  • Possess a PhD, in electrical engineering, applied mathematics, physics, computer science, systems engineering, statistics, mathematics, or a related technical field.
  • Have graduate-level experience developing, evaluating, or assessing signal processing algorithms, radar systems, sensor systems, classification or discrimination algorithms, sensing architectures, or related modeling and simulation capabilities.
  • Have demonstrated technical depth in one or more of the following areas: radar signal processing, detection and estimation theory, waveform analysis, sensor phenomenology, sensor modeling, target characterization or discrimination, electronic sensing systems, resource management, system performance assessment, verification and validation, or radar/EO/IR system analysis.
  • Have experience using MATLAB, Python, C/C++, Julia, or similar scientific programming languages for modeling, simulation, algorithm development, test data analysis, or performance assessment.
  • Have shown technical leadership through ownership of a graduate project, capstone, internship, lab effort, sponsored project, or multidisciplinary technical task.
  • Can communicate technical results clearly through briefings, technical discussions, written analysis, and data-driven recommendations to technical and non-technical audiences.
  • Are willing and able to travel up to 10% of the time, as needed.
  • Are able to obtain a Secret security clearance and ultimately a TS/SCI clearance. U.S. citizenship is required.

You'll go above and beyond our minimum qualifications if you...
  • Have applied PhD, internship, fellowship, or project experience in radar systems, missile defense sensing, air and missile defense, integrated air and missile defense, multi-domain sensing, or related national security applications.
  • Have led a technical project or small team, coordinated technical contributions across collaborators, mentored students or interns, or served as a technical point of contact for a sponsor, advisor, or external partner.
  • Have experience taking an algorithm, model, or analysis capability from initial concept through prototype implementation, performance evaluation, and recommended next steps.
  • Have experience with measured data, field test data, high-fidelity simulation data, or hardware/software-in-the-loop evaluation for radar or sensor systems.
  • Have familiarity with digital engineering, system-of-systems analysis, sensor resource management, architecture evaluation, or advanced modeling and simulation.
  • Have familiarity with tracking, state estimation, multi-sensor data fusion, or data association concepts as supporting elements of end-to-end sensing performance.
  • Have experience collaborating with government sponsors, defense laboratories, industry partners, or multidisciplinary technical teams.
  • Hold an active Secret or Top Secret security clearance and are able to obtain a TS/SCI clearance.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

What Johns Hopkins Applied Physics Laboratory employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom