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Mathematical Optimization Postdoc Jobs (NOW HIRING)

Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Engineering Technology ... Proficiency in mathematical modeling (Game Theory, Optimization, or Control Theory). * Advanced ...

Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Engineering Technology ... Proficiency in mathematical modeling (Game Theory, Optimization, or Control Theory). * Advanced ...

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Mathematical Optimization Postdoc information

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How much do mathematical optimization postdoc jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for mathematical optimization postdoc in the United States is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mathematical Optimization Postdoc, and why are they important?

To thrive as a Mathematical Optimization Postdoc, you need an advanced degree (typically a PhD) in mathematics, operations research, or a related field, with a deep understanding of optimization theory and algorithms. Familiarity with programming languages such as Python, MATLAB, or C++, and experience with optimization software like Gurobi or CPLEX, are commonly required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills set outstanding candidates apart. These skills are crucial for conducting innovative research, publishing results, and contributing to interdisciplinary projects in academic or industry settings.

What is the difference between Mathematical Optimization Postdoc vs Operations Research Analyst?

AspectMathematical Optimization PostdocOperations Research Analyst
Required credentialsPhD in mathematics, operations research, or related fieldBachelor's or master's degree in operations research, mathematics, or engineering
Work environmentAcademic research, university labs, research institutesCorporate, government agencies, consulting firms
Employer and industry usageUniversities, research institutionsBusinesses, government, consulting
Common search intentResearch, academic positions, postdoctoral opportunitiesApplying optimization techniques in industry, problem-solving roles

The Mathematical Optimization Postdoc primarily focuses on academic research and advancing theoretical methods in optimization, often within universities or research institutions. In contrast, Operations Research Analysts apply these techniques in practical industry settings to solve real-world problems. While both roles require strong analytical skills, the postdoc emphasizes research and publication, whereas the analyst role centers on implementation and operational decision-making.

What are some common challenges faced by Mathematical Optimization Postdocs when transitioning from academic research to industry projects?

Mathematical Optimization Postdocs often find the transition to industry projects challenging due to differences in project timelines, the need for practical and scalable solutions, and collaboration with interdisciplinary teams. In industry, optimization problems may be less theoretically defined and require rapid prototyping, frequent communication with stakeholders, and adaptability to changing business needs. Developing strong communication skills and learning to balance rigorous research with practical constraints are key to succeeding in this environment.

What is a Mathematical Optimization Postdoc?

A Mathematical Optimization Postdoc is a researcher who has completed their PhD and is engaged in advanced research focused on mathematical optimization. This field involves developing and analyzing algorithms and mathematical models to find the best solutions to complex problems, often under constraints. Postdocs in this area typically work at universities, research institutes, or in industry, collaborating with other scientists and publishing their findings. Their work may be applied to areas such as logistics, machine learning, finance, or engineering. The position is usually temporary, lasting from one to three years, and serves as a stepping stone to permanent academic or industry roles.
More about Mathematical Optimization Postdoc jobs
What cities are hiring for Mathematical Optimization Postdoc jobs? Cities with the most Mathematical Optimization Postdoc job openings:
What states have the most Mathematical Optimization Postdoc jobs? States with the most job openings for Mathematical Optimization Postdoc jobs include:
Infographic showing various Mathematical Optimization Postdoc job openings in the United States as of July 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $46,417 per year, or $22.3 per hour.
Nuclear Power Applications Postdoctoral Data Science Researcher

Nuclear Power Applications Postdoctoral Data Science Researcher

Idaho National Laboratory

Idaho Falls, ID • On-site

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

11th of 103 rated laboratories


Job description

The Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Research Associate in Data Science for the Department of Plant Optimization. The ideal candidate should possess a robust technical background and practical experience with large language models (LLMs). 
 

The Postdoctoral Researcher will have the following key responsibilities:

  • Develop, fine-tune, and optimize LLMs.
  • Design and implement efficient retrieval-augmented generation systems.
  • Create advanced prompt engineering strategies to enhance model performance and utility.
  • Demonstrate expertise in embedding techniques, with a clear understanding of their strengths, weaknesses, and applicability to various use cases.
  • Perform comprehensive data preprocessing, including cleaning, normalization, and integration of diverse data types such as text, images, and tabular data.
  • Analyze and structure complex datasets, including unstructured data types such as images and tables.
  • Apply advanced AI model optimization techniques to improve the efficiency and performance of large and frontier models for specific applications.
  • Understand the principles and trade-offs associated with large-scale machine learning systems.
  • Develop agentic AI systems including multi-modal models.
  • Communicate effectively, both verbally and in writing, with management, co-workers, and customers.
  • Publish research results in a mix of journal publications and conference proceedings.
  • Write or contribute to the writing of technical reports.
  • Prepare competitive proposals for the DOE or internal INL funding opportunities.
  • Give technical presentations to internal and external audiences.

Our team works a 9x80 schedule located out of our Research and Education Campus in Idaho Falls, ID, with every other Friday off.

You are expected to be a strong asset to our interdisciplinary R&D team and work effectively both alone and as a team member. You must be self-motivated but also take directions from other team members and peers
 

Required:

  • PhD in Data Science, Engineering, Mathematics, Computer Science, Artificial Intelligence or comparable disciplines. 
  • PhD requirements must be completed by commencement of appointment and within the previous 5 years.
  • Experience developing and optimizing large language models (LLMs).
  • Experience in data science, data analysis, and software development using Python, C#, Java or C++. 
  • Demonstrated oral and written communication in English.
  • This position is subject to export control restrictions per the Department of Energy. For this reason, you must be either a US Citizen or a US Green Card holder to qualify for the job. 


 

The ideal candidate will possess:

  • Experience in distributed processing frameworks and high-performance computing resources to build and deploy scalable AI solutions.
  • Experience in model optimization and deployment on NVIDIA and AMD GPUs, ensuring efficient utilization of computational resources.
  • Experience in computer vision or time-series data analytics, including practical applications in real-world scenarios.
  • Experience with vision language models and large behavioral models.
  • Knowledge of data architecture, data structuring, and best practices for managing large-scale data pipelines.
  • Familiarity with nuclear engineering concepts, including nuclear reactors and associated data, is a significant advantage.
  • Ability to work independently and collaboratively in a multidisciplinary team environment.
     


 

Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend. The job requires hand/finger dexterity to keyboard or type, handle materials, manipulate tools, and reach with hands and arms. The job requires operation of job-related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Information:

  • The pay for this position is $105,144 Annually. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.

Benefits and Relocation

  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements:

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

Equal Employment Opportunity:

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information:

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

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Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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