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Mathematical Optimization Postdoc Jobs in Pennsylvania

  • Medical

Design and analyze quantum algorithms for optimization, combinatorial search, differential ... mathematics, and the physical sciences. * AI for Quantum Systems: Apply machine learning and ...

$48K - $65K/yr

... a Postdoctoral Scholar to participate in a multi-disciplinary, multi-investigator NSF-funded ... PhD degree in mathematics, science, engineering, or a related field by the start date. * Extensive ...

Postdoctoral Scientist (AI/ML) J&J Innovative Medicine - Productivity AI/ML team is recruiting a ... Leverage operational data sources and optimization techniques to create tools for developing ...

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 Pennsylvania? For Mathematical Optimization Postdoc jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Mathematical Optimization Postdoc jobs? Cities in Pennsylvania with the most Mathematical Optimization Postdoc job openings:
Infographic showing various Mathematical Optimization Postdoc job openings in Pennsylvania 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.

Postdoctoral Scholar - Public Health Sciences

Penn State University

Hershey, PA • On-site

Full-time

Re-posted 5 days ago


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Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Postdoctoral Scholar in Biostatistics: Novel Adaptive Clinical Trial Design Methodology
The Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, at Penn State College of Medicine in Hershey, PA invites applications for a Postdoctoral Scholar position in biostatistics, statistics, or a closely related quantitative field. The position will focus on the development of next-generation statistical methods and software for adaptive clinical trial designs, with an emphasis on early-phase oncology trials.
The Postdoctoral Scholar will work under the mentorship of Dr. Shouhao Zhou at Penn State University, in collaboration with Dr. J. Jack Lee at MD Anderson Cancer Center and other clinical and methodological collaborators. The position provides an excellent opportunity for a highly motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer research.
The successful candidate will contribute to methodological innovation, computational implementation, simulation studies, software development, manuscript preparation, and grant-related research activities. The work will support ongoing and planned projects on Bayesian adaptive designs, globally optimal dose-finding and phase I/II designs, pediatric and adult oncology trials, and efficient optimization algorithms for complex trial design spaces.
Required qualifications:
A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science, engineering, or a closely related quantitative field.
Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language.
Ability to conduct independent research, communicate clearly, and work effectively in a multidisciplinary research environment.
Strong written communication skills and interest in publishing methodological and collaborative research.
Preferred qualifications:
Strong methodological training in statistical inference, computational statistics, reinforcement learning, or optimization.
Experience with Bayesian statistics, adaptive clinical trial design, dose-finding methods, phase I/II trial designs, model-assisted or model-based trial designs, or oncology clinical trials.
Prior publications or preprints in biostatistics, statistics, clinical trials, machine learning, optimization, or related methodological areas.
Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged.
Research environment and career development:
The Postdoctoral Scholar will join an active and growing biostatistics research environment at Penn State University College of Medicine, with opportunities to collaborate across Penn State, MD Anderson Cancer Center, and multidisciplinary cancer research teams. The position is designed to support the candidate's development as an independent methodological researcher through high-impact publications, software dissemination, conference presentations, grant involvement, and collaborative clinical trial design experience.
Application materials:
Applicants should submit a curriculum vitae, a brief statement of research interests, contact information for three references, and representative publications or writing samples if available. Review of applications will begin immediately and continue until the position is filled.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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