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Phd Optimization Research Jobs in Ohio (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Dayton, OH · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

micro1 AI

AI Training Specialist - Chemistry

Columbus, OH · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

micro1 AI

AI Training Specialist - Chemistry

Akron, OH · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

micro1 AI

AI Training Specialist - Chemistry

Toledo, OH · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

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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 Ohio?

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

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

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

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

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

Phd Optimization Research jobs near you
Infographic showing various Phd Optimization Research job openings in Ohio 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.

Analytical Chemist

Emery Oleochemicals LLC

Cincinnati, OH • On-site

$75K - $95K/yr

Full-time

Re-posted 12 hours ago

Job description

Analytical Chemist

Location: Cincinnati, OH

Department: Product & Application Development 

Employment Type: Full-Time


Position Summary

The Product & Application Development (P&AD) Laboratory at Emery Oleochemicals is seeking an experienced Analytical Chemist to support research, development, and customer-facing technical support for fatty acids, specialty esters, and related oleochemical products. This role is hands-on and laboratory-intensive, requiring deep expertise in analytical techniques, method development, and problem-solving in a chemical manufacturing environment.

The successful candidate will play a key role in new product development, product performance troubleshooting, and analytical support for both internal stakeholders and external customers. This position requires strong technical ownership, independent execution, and regular collaboration with R&D, Manufacturing, Sales, and customers.


Key Responsibilities
  • Perform advanced analytical testing in support of R&D, product development, and manufacturing for fatty acids, specialty esters, and related oleochemicals.
  • Independently operate and interpret data from analytical instrumentation including GC-MS, HPLC, NMR, titration methods, and thermal analysis techniques.
  • Develop, validate, and optimize analytical methods for routine analysis, trace impurity detection, and performance characterization.
  • Lead analytical investigations to resolve product performance issues, nonconformances, and customer technical inquiries.
  • Provide technical and analytical support for new product launches, scale-up activities, and formulation optimization.
  • Interpret analytical data to understand structure–property relationships and their impact on product performance.
  • Interface directly with internal teams (Manufacturing, Quality, Sales, Regulatory) and external customers to communicate results and technical recommendations.
  • Maintain laboratory documentation, calibration/maintenance of analytical equipment, and compliance with internal quality, safety, and regulatory requirements.
  • Support continuous improvement initiatives related to analytical methods, laboratory efficiency, and product understanding.


Required Technical Skills & Expertise
  • Hands-on experience with GC-MS, HPLC, NMR, titration techniques, and thermal analysis.
  • Strong background in analytical method development, validation, and trace analysis.
  • Demonstrated ability to troubleshoot complex analytical and product performance challenges independently.
  • Excellent problem-solving skills with the ability to translate analytical data into actionable conclusions.
  • Ability to work effectively both independently and in a collaborative, cross-functional team environment.


Preferred Technical Background
  • Experience with ICP-OES method development in difficult matrices
  • Familiarity with oleochemicals, fatty acids, esters, surfactants, or related specialty chemical products.
  • Experience supporting chemical manufacturing or pilot-scale operations.
  • Prior experience providing customer-facing technical or analytical support.


Education & Experience Requirements
  • Degree in Analytical Chemistry strongly preferred.
  • MS or PhD in Chemistry preferred.
  • BS in Chemistry with 5–10 years of relevant industrial experience, or
  • MS or PhD with 3–5 years of industrial or applied research experience.


Work Environment
  • Laboratory-based role within a chemical manufacturing and R&D environment.
  • Regular interaction with pilot plants, manufacturing teams, and commercial stakeholders.
  • Requires adherence to laboratory safety practices and use of appropriate PPE.