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Mathematical Optimization Postdoc Jobs in Ohio (NOW HIRING)

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Mathematical Optimization Postdoc information

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 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 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 popular job titles related to Mathematical Optimization Postdoc jobs in Ohio?

For Mathematical Optimization Postdoc jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization Postdoc jobs in Ohio look for?

The top searched job categories for Mathematical Optimization Postdoc jobs in Ohio are:

Mathematical Optimization Postdoc jobs near you
Infographic showing various Mathematical Optimization Postdoc job openings in Ohio as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Abbott Lab: Post Doctoral Scholar

Case Western Reserve University

Cleveland, OH • On-site

$55 - $65.65/hr

Other

Medical, Life

Posted 5 days ago

Case Western Reserve University rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

102nd of 630 rated colleges and universities

Job description

Case Western Reserve University: POSTDOCTORAL: College of Arts and Sciences (PD): Department of Biology (PD) Location

Karen Abbott Lab: Department of Biology: Case Western Reserve University

Open Date

Mar 27, 2026

Description

Karen Abbott, Alan Hastings, Jon Machta, and Yufang Jin are seeking a postdoc to work on problems at the interface between statistical physics and theoretical spatial ecology. This position will be supported by our NSF grant, eMB: New mathematical approaches for understanding spatial synchrony in ecology. The project will involve developing extensions of foundational theories from statistical physics, mechanistic spatial modeling of ecological dynamics, machine learning from remotely sensed data, and understanding the limits of prediction. The position will be based in the Abbott lab at Case Western Reserve University and there will be opportunities to spend time both at the University of Massachusetts Amherst (Machta) and the University of California Davis (Hastings & Jin).

Under the guidance of the PIs, the postdoc will develop and analyze models inspired by statistical physics to describe the dynamics of spatially coupled oscillating ecological systems.

The start date is July 1, 2026 for an initial term will be 1 year. The annual starting base salary range for this position is $55,000-$65,652. CWRU considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. Postdocs receive individual and family healthcare benefits, life insurance, and employee assistance.

Qualifications

Ph.D. in ecology or a related field. Research experience and expertise in spatial ecology, statistical physics, or both. Experience writing, optimizing, running, and analyzing complex computational models. Excellent communication and collaboration skills.

In compliance with the City of Cleveland’s Pay Transparency Ordinance (effective October 27, 2025), the annual starting base salary range for this position is $55,000 - $62,652. Postdocs receive individual and family healthcare benefits, life insurance, and employee assistance.

Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.

Reasonable Accommodation Statement: Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity by phone at 216.368.3066 or by email atequity@case.edu . Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.

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