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Phd Optimization Research Jobs (NOW HIRING)

Prior Labs

Research Scientist Intern (PhD)

New York, NY · On-site

The next phase of growth is here which makes this an optimal time to join. Core Areas of Impact You ... Researching causal understanding in foundation models * Designing novel approaches for handling ...

Children's Mercy KC

Research Scientist PhD

Kansas City, MO · On-site

$34.51/hr

... and optimization of therapeutic screening strategies. At Children's Mercy, we are committed to ... PHD or MD and 3-5 years of experience Benefits at Children's Mercy The benefits plans at Children ...

Children's Mercy KC

Research Scientist PhD

Kansas City, MO · On-site

$34.51/hr

... and optimization of therapeutic screening strategies. At Children's Mercy, we are committed to ... PHD or MD and 3-5 years of experience Benefits at Children's Mercy The benefits plans at Children ...

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Phd Optimization Research information

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$29.5K

$95.3K

$155K

How much do phd optimization research jobs pay per year?

As of Jun 21, 2026, the average yearly pay for phd optimization research in the United States is $95,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $109,000.00 per year, depending on experience, location, and employer.

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 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 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 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.
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What cities are hiring for Phd Optimization Research jobs? Cities with the most Phd Optimization Research job openings:
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What job categories do people searching Phd Optimization Research jobs look for? The top searched job categories for Phd Optimization Research jobs are:
Phd Optimization Research jobs near you
Infographic showing various Phd Optimization Research job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $95,315 per year, or $45.8 per hour.
Research Intern - Machine Learning and Optimization - Redmond

Research Intern - Machine Learning and Optimization - Redmond

Microsoft

Redmond, WA • On-site

$8.7K - $14K/mo

Internship

Posted 2 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

49th of 191 rated software companies

Job description

Overview
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
The Machine Learning and Optimization (MLO) group in MSR-Redmond performs research in the intersection of optimization, machine learning and systems. Our focus right now is in combining Large Language Model (LLM) technology with optimization for efficient decision making. Example projects include training LLMs for algorithm design (e.g., natural language to integer programming, heuristic design), accelerating optimization algorithms for interactive decision dialogues and using LLMs for sequential and distributed decision-making settings. More broadly, our research leverages theoretical insights for designing algorithms and Machine Learning (ML)-based solutions that run efficiently at scale.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Additional Responsibilities
Research Interns are expected to design algorithms/models and prototype them, conduct experiments, and analyze results. They are encouraged to show initiative throughout the Research Internship and suggest further directions for research. They are expected to document their ideas, and given suitable results, contribute to a paper.
Qualifications
Required Qualifications
  • Currently enrolled in a PhD program in Computer Science, Operations Research or a related STEM field.
  • At least 3 years of experience in C# or C++ or Python (or similar language).

Other Requirements
  • Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications
  • Experience in optimization/algorithm design.
  • Experience in machine learning and LLMs (e.g., data curation, post-training, agentic frameworks).
  • Demonstrated ability to run simulations and analyze results.
  • Some knowledge of distributed systems.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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