ZipRecruiter

Log In

1

Mathematical Optimization Postdoc Jobs in New York

New York University

Post Doctoral Associate

New York, NY · On-site

$78K - $85K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering Department of ... and optimization of electrochemical reactions and reactor architectures. Responsibilities ...

All JobsMathematical Optimization Postdoc JobsMathematical Optimization Postdoc Jobs in New York

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 New York? For Mathematical Optimization Postdoc jobs in New York, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Postdoc jobs in New York look for? The top searched job categories for Mathematical Optimization Postdoc jobs in New York are:
What cities in New York are hiring for Mathematical Optimization Postdoc jobs? Cities in New York with the most Mathematical Optimization Postdoc job openings:
Mathematical Optimization Postdoc jobs near you
Infographic showing various Mathematical Optimization Postdoc job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution.

Post Doctoral Research Associate

New Jersey Institute of Technology

Newark, NJ • On-site

$70K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title:
Post Doctoral Research Associate
Department:
Mathematical Sciences
Reports To:
Associate Professor
Position Type:
Staff
Position Summary:
We are seeking a postdoctoral research associate to work on problems in the intersection of inverse problems, analysis, and computational mathematics. The position is initially for one year, with the option to renew for 1-2 additional years, subject to satisfactory performance. The start date is negotiable, preferably Fall 2025. The successful candidate will work on the ONR Project "Optimal Transport-based Strategies in Waves and Dynamics" led by Prof. Christina Frederick at NJIT.
Essential Functions:
-The project will harness and advance the power of optimal transport theory to capture the intrinsic characteristics of complex physical processes arising in a wide range of important scientific applications, e.g., ocean electromagnetics, inverse scattering, time series modeling.
-The postdoctoral associate will integrate and develop optimal transport theories and computational methods for the forward and inverse modeling in these applications.
Prerequisite Qualifications:
-Recent PhD in Mathematics or related field with a research background in computational mathematics, optimization, and inverse problems; a track record of publications and presentations in high-quality journals and conferences.
-At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Preferred Qualifications:
-Knowledge of optimal transport theory, programming skills and experience with physical modeling (e.g., computational fluid dynamics, wave propagation). Proven ability and interest in interdisciplinary work.
Bargaining Unit:
AFT-UCAN
Salary Information:
In compliance with the NJ Pay Transparency Law, the negotiated starting annual salary for this position is $70,000 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: https://hr.njit.edu/health-benefits.
FLSA:
Exempt
Full-Time

Apply Now
Share
Save Job

Apply