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Research Scientist Optimization Jobs in Raleigh, NC

Duke University

RESEARCH SCIENTIST, SENIOR

Durham, NC · On-site

$95K - $121K/yr

... ensure optimal study conduct and animal welfare. • Commute as needed to satellite research ... This position offers an excellent opportunity for a veterinarian or postdoctoral scientist seeking ...

Duke University

RESEARCH SCIENTIST, SENIOR

Durham, NC · On-site

$95K - $121K/yr

... to ensure optimal study conduct and animal welfare. Commute as needed to satellite research ... Career planning and scientific development. Writing, grantsmanship, and conference presentation ...

Hitachi

Research Scientist - Power Systems

Raleigh, NC · On-site +1

As a Research Scientist in Power Systems, you'll be part of a global team pushing the boundaries of what's possible in grid control, simulation, and optimization. Based in our Raleigh, North Carolina ...

Nvidia

Senior Research Scientist, Circuits

Durham, NC

$95K - $121K/yr

We are now looking for a Senior Research Scientist for Circuits! Advanced circuit design is ... Explore circuit approaches to optimizing processor computation and interconnect performance and ...

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All JobsResearch Scientist Optimization JobsResearch Scientist Optimization Jobs in Raleigh, NC

Research Scientist Optimization information

See Raleigh, NC salary details

$49.1K

$126.5K

$169.1K

How much do research scientist optimization jobs pay per year?

As of Jul 18, 2026, the average yearly pay for research scientist optimization in Raleigh, NC is $126,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $168,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist in Optimization, and why are they important?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What does a Research Scientist in Optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What types of projects and collaborations can a Research Scientist in Optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

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

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Research Scientist Optimization jobs in Raleigh, NC? For Research Scientist Optimization jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Research Scientist Optimization jobs in Raleigh, NC look for? The top searched job categories for Research Scientist Optimization jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Research Scientist Optimization jobs? Cities near Raleigh, NC with the most Research Scientist Optimization job openings:
Research Scientist Optimization jobs near you
Infographic showing various Research Scientist Optimization job openings in Raleigh, NC as of July 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $126,484 per year, or $60.8 per hour.
Research Scientist - Theoretical Physics

Research Scientist - Theoretical Physics

Hitachi, Ltd.

Raleigh, NC • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

Location:
Raleigh, North Carolina, United States
Job ID:
R0136799
Date Posted:
2026-07-10
Company Name:
HITACHI ENERGY USA INC
Profession (Job Category):
Engineering & Science
Job Schedule:
Full time
Remote:
No
Job Description:
Research Scientist - Theoretical Physics
The Opportunity
As a Research Scientist focused on theoretical physics applications for power system simulation, you will develop and advance numerical simulation approaches that support future power system technologies. The role involves collaborating with researchers, engineers, business units, universities, national laboratories, startups, and vendors to create software applications, mathematical and physical models, and simulation algorithms that address challenges associated with the energy transition and the future grid. You will propose research projects, develop and validate prototypes, explore optimization-based methods, and implement simulation techniques for large-scale systems. The work includes sharing results through publications, patent applications, and technical reports while supporting the execution of research projects across a global organization. By improving simulation capabilities and advancing modeling approaches for power systems, this role contributes to power grid reliability and continued innovation in energy technologies. This opportunity will be based at our research center in Raleigh, North Carolina.
How You'll Make an Impact
  • Collaborate with global researchers and engineers to develop software applications for power systems.
  • Propose and develop new approaches for creating, running, and using numerical simulations with business impact.
  • Build prototypes and verify new simulation concepts and methods.
  • Develop approaches that combine mathematical and physical power system models with mathematical optimization technologies.
  • Implement novel simulation algorithms and work across multiple simulation software tools.
  • Support business units and contribute to the successful execution of research projects.
  • Share knowledge across the organization and collaborate with external research and industry partners.
  • Publish results through scientific publications, patent applications, and technical reports.
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

Your Background
  • Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
  • Ph.D. degree in Theoretical Physics, Mathematics, Engineering or any related field. Highly qualified candidates with a master's degree may also be considered.
  • Interest in and willingness to learn about power systems engineering, energy transition and operations research.
  • Experience in designing, developing, and executing numerical simulation algorithms for large-scale systems.
  • Willingness to take an interdisciplinary approach, working with experts from domains different from their own area of expertise.
  • Experience in the following topics is highly valued: Numerical Methods for Ordinary and Partial Differential Equations, Convex and Nonconvex Optimization, Fourier Analysis.
  • Experience with mathematical modeling languages for optimization problems.
  • Experience using automatic differentiation.
  • Experience using algorithmic performance optimization for running large scale mathematical solvers.
  • Strong programming experience (e.g. C, C++, CUDA, Python, Fortran)
  • Solid theoretical background with publications in renowned journals and conferences.
  • Excellent innovation capability and competence in application-oriented research.
  • Self-motivated, high curiosity and ability to learn new technologies.
  • Attention to detail and the ability to work independently and as part of a team.
  • Excellent written and verbal communication and presentation skills in English.

More About Us
You will gain exposure to multidisciplinary research, collaboration across global teams, and opportunities to expand your technical knowledge.
  • Work on innovative energy technologies related to power systems, simulation methods, and the energy transition.
  • Collaborate with experienced professionals across research teams, engineering groups, and business units.
  • Access learning and development opportunities through research projects, knowledge sharing, and external collaborations.
  • Receive health and retirement benefits.
  • Benefit from paid leave and workplace flexibility.

Equal Employment Opportunity (EEO)-Females/Minorities/Protected Veterans/Individuals with Disabilities
Equal Employment Opportunity
Hitachi is an Equal Employment Opportunity (EEO) employer. We welcome applications from all qualified individuals, including females, minorities, protected veterans, and individuals
with disabilities.
Accessibility and reasonable accommodation
Protected veterans and qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
This accommodation channel is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Use of Al and automated tools in recruitment
As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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