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Mathematical Optimization Postdoc Jobs in Texas (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 ...

Mathematical Optimization Postdoc information

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.
What are popular job titles related to Mathematical Optimization Postdoc jobs in Texas? For Mathematical Optimization Postdoc jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Postdoc jobs in Texas look for? The top searched job categories for Mathematical Optimization Postdoc jobs in Texas are:
Infographic showing various Mathematical Optimization Postdoc job openings in Texas as of July 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Nights. Highlights an 94% Physical, and 6% Remote job distribution.
#53680 Postdoctoral Researcher in Computational Stochastic Programming

#53680 Postdoctoral Researcher in Computational Stochastic Programming

Southern Methodist University

Dallas, TX • On-site

$55K/yr

Full-time

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Job description

Description
Description: The Department of Operations Research and Engineering Management within the Lyle School of Engineering at the Southern Methodist University seeks candidates for a Postdoctoral Research Associate in computational stochastic programming. The primary duties will include (i) active research involving modeling, optimization, simulation, and computer implementation of stochastic programming algorithms, (ii) manuscript development for peer-reviewed publications, and (iii) assistance with additional sponsored research activity.
Qualifications
Position Requirements:
  • Successful completion of a Ph. D. (by the time of joining) in Operations Research, Applied Mathematics, Computer Science, or other related engineering fields.
  • Must have experience in stochastic and/or discrete optimization. Additionally, exposure to modeling of infrastructure planning and operations problems will be beneficial.
  • Highly motivated to pursue computational aspects of optimization research.
  • Candidate must have excellent written and verbal communication skills with the ability to communicate effectively with a wide range of constituencies

Salary and term: The anticipated start date is August 1, 2025. The position is for one year with a renumeration of $55,000 and benefits.
Application Instructions
Review of applications will begin immediately. To ensure full consideration for the position, the application must be received by June 15, 2025. However, the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
Contact: For more information regarding the research project and the open position, interested candidates can contact Harsha Gangammanavar (harsha@smu.edu).
SMU Nondiscrimination Statement: SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

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