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Phd Optimization Research Jobs in Washington (NOW HIRING)

The Nuclear Company

Research Scientist

Washington, DC · On-site

Schedule Optimization: Develop models that optimize construction scheduling across multiple ... PhD in Computer Science, Machine Learning, Operations Research, Economics, Applied Mathematics, or ...

The Nuclear Company

Research Scientist

Washington, DC · On-site

Schedule Optimization: Develop models that optimize construction scheduling across multiple ... PhD in Computer Science, Machine Learning, Operations Research, Economics, Applied Mathematics, or ...

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Phd Optimization Research information

What is a PhD in optimization research?

A PhD in Optimization Research is an advanced academic degree focused on developing and analyzing mathematical models and algorithms to find the best possible solutions to complex problems. This field often involves linear and nonlinear programming, combinatorial optimization, and stochastic processes, and is applied in areas such as operations research, machine learning, logistics, and engineering. Graduates are prepared for careers in academia, industry, or research institutions, where they work on improving decision-making processes and resource allocation. The program typically involves coursework, comprehensive exams, and original research leading to a dissertation.

What are the typical collaborative projects that a PhD optimization researcher might work on within a multidisciplinary team?

PhD Optimization Researchers often collaborate on projects that integrate expertise from fields such as data science, engineering, computer science, and business analytics. These projects may involve developing and implementing advanced optimization algorithms to solve complex, real-world problems like supply chain management, resource allocation, or energy systems modeling. Team members typically contribute domain knowledge, data, and problem requirements, while the optimization researcher focuses on model formulation, algorithm selection, and solution analysis. Effective communication and adaptability are essential, as researchers must translate technical findings into actionable insights for stakeholders.

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

To excel as a PhD Optimization Researcher, you typically need a doctorate in applied mathematics, computer science, operations research, or a related field, along with expertise in mathematical modeling and algorithm development. Proficiency with programming languages such as Python, MATLAB, or C++, and familiarity with optimization libraries and tools like Gurobi or CPLEX are commonly required. Strong analytical thinking, creativity, and effective communication skills help in formulating novel solutions and collaborating with interdisciplinary teams. These competencies are crucial for advancing research, solving complex optimization problems, and effectively disseminating findings within both academic and industry settings.

What is the difference between Phd Optimization Research vs Data Scientist?

AspectPhd Optimization ResearchData Scientist
Required CredentialsPhD in Operations Research, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departments in industryTech companies, finance, healthcare, consulting firms
Industry UsageFocus on developing optimization algorithms, mathematical modelingFocus on data analysis, machine learning, predictive modeling
Common Search/ComparisonYesYes

While both roles involve advanced analytical skills, Phd Optimization Research primarily focuses on developing and refining optimization algorithms and mathematical models, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models, often applying machine learning techniques. The roles overlap in data analysis and quantitative skills but differ in their core focus and typical work environments.

What are popular job titles related to Phd Optimization Research jobs in Washington?

For Phd Optimization Research jobs in Washington, the most frequently searched job titles are:

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

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

What cities in Washington are hiring for Phd Optimization Research jobs?

Cities in Washington with the most Phd Optimization Research job openings:

Phd Optimization Research jobs near you
Infographic showing various Phd Optimization Research job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Quantum Algorithms Scientist - Optimization

Washington, DC • On-site

Jobtailor
See more jobs at Jobtailorexternal

$110 - $160/hr

Other

Posted 6 days ago

Job description

Responsibilities
  • Undertake theoretical and/or applied research and/or software development for near-term quantum computing applications, with an initial focus on quantum algorithms and software for combinatorial optimization and/or constraint satisfaction problems.
  • Help to author publications, presentations, patent applications and similar resulting from the research.
  • Work collaboratively in a small team made up of full-time staff and affiliated PhD students.
  • Work with stakeholders on collaborations applying quantum computing to optimization problems.
  • Other activities as required to support the growth and success of Phasecraft.
Requirements
  • Expertise in one or more of:
    • Quantum information and/or computation theory
    • Theory and implementation of classical algorithms for optimization or constraint satisfaction
    • Quantum algorithm design and implementation
    • Mathematical analysis of algorithms
  • Proven track record of working independently on research projects.
  • Deep expertise and an excellent publication track‑record in relevant discipline.
  • Excellent written and verbal communication skills and the ability to disseminate research results to technical and non-technical audiences.
  • Flexibility to work across different aspects of quantum algorithms, and to work on other tasks required to support the growth and success of the company.
  • An interest in near‑term quantum computing.
Desirable Qualifications
  • PhD (or soon to receive one) in quantum information, quantum computation theory, theoretical computer science, or closely related field.
  • Coding in quantum software development environments (e.g. Cirq, QuEST, Qiskit).
  • Experience of implementing algorithms on quantum hardware.
  • Strong publication track‑record in relevant discipline.
  • Software development skills.
  • Enthusiasm for learning and novel research.
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