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Mathematical Optimization Postdoc Jobs in California

... optimization and modeling on the National Ignition Facility (NIF). NIF is the world's most ... PhD in Applied Physics, Applied Mathematics, Computer Science, or related technical field or ...

... optimization and modeling on the National Ignition Facility (NIF). NIF is the world's most ... PhD in Applied Physics, Applied Mathematics, Computer Science, or related technical field or ...

... optimization and modeling on the National Ignition Facility (NIF). NIF is the world's most ... PhD in Applied Physics, Applied Mathematics, Computer Science, or related technical field or ...

... optimization, risk analysis, and derivative pricing. This leadership role offers a unique ... mathematics, engineering, physics or equivalent field. • 5+ years of postdoctoral research ...

... optimization, risk analysis, and derivative pricing. This leadership role offers a unique ... engineering, mathematics, engineering, physics or equivalent field. 5+ years of postdoctoral ...

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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 California? For Mathematical Optimization Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Postdoc jobs in California look for? The top searched job categories for Mathematical Optimization Postdoc jobs in California are:
What cities in California are hiring for Mathematical Optimization Postdoc jobs? Cities in California with the most Mathematical Optimization Postdoc job openings:
Infographic showing various Mathematical Optimization Postdoc job openings in California as of July 2026, with employment types broken down into 68% Full Time, 29% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution.
Quantum Engineering Postdoctoral Fellow

Quantum Engineering Postdoctoral Fellow

Lawrence Berkeley National Laboratory

Berkeley, CA • On-site

$60K - $81K/yr

Other

Medical, Retirement, PTO

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


Job description

Berkeley Lab's Applied Mathematics Computational Research Division (AMCR) has an immediate opening in the Quantum Information Science and Technology Group (QuIST) for a Quantum Engineering Postdoctoral Fellow under the programs of Advanced Quantum Testbed (AQT) and Quantum System Accelerator (QSA). The primary goal of the position will focus on materials and circuit electric field engineering to understand the material-performance causality of superconducting qubits, including the optimization of electromagnetic design and development of new metrology and fabrication techniques. The position will have access to the state-of-the-art superconducting circuit fabrication facility, quantum measurement lab, and advanced material characterization tools at Lawrence Berkeley National Laboratory. The position will also be on the team for development and fabrication of multiqubit, multilayer quantum processor unit (QPU), where the candidate will work with all teams at Berkeley Lab to build up full-stack superconducting QPU for scientific research.

You will:

  • Performing electromagnetic simulation of qubit circuits with novel designs to achieve high coherence qubits.

  • Developing cleanroom metrology for superconducting qubit devices, especially CMOS in-line metrology, in lab as well as in collaboration with industrial partners.

  • Fabrication process development and optimization to improve device materials and characterize the performance of superconducting qubit devices.

  • Fabrication of multiqubit, multilayer quantum processor developed at Berkeley Lab.

  • Present and publish experiment results in internal and external meetings and journals.

  • Support and lead the collaboration projects with quantum computing industrial partners.

Desired Duties:

  • Mentoring graduate students.

  • Support or lead writing including but not limited to program reports, grants, and papers.

We are looking for:

  • Ph.D. degree in Physics, Applied Physics, Electrical Engineering, Material Science, or a related field.

  • Experience in cleanroom/nanofabrication processes, with an emphasis on the hands-on experience and knowledge on cleanroom metrology for device performance/yield characterization.

  • Experience in one or more of the responsibilities/research areas in the following:

    • Solid state quantum computing platform, including but not limited to: superconducting qubits, spin qubit, semiconductor nanowire/topological qubits, rare-earth qubit, nanophotonic.

    • Microwave circuit design and simulation (e.g. EM solvers, network analysis)

    • Complex structure device fabrication, including CMOS multilayer devices, flip-chip devices, microwave airbridges, and/or RF circuit devices.

  • Relevant publication record and demonstration of proficient written and verbal presentation of scientific results.

  • Ability to work effectively in a collaborative environment.

  • Ability to mentor and direct the work of students.

  • Willingness to occasional traveling to collaborators' sites and conferences.

Desired skills/knowledge:

  • Experience in superconducting qubits design, fabrication, and measurement. Especially in surface participation simulation and material loss tangent.

  • Familiarity with material - device causality, i.e., connecting film microstructure, surface chemistry, to device physics and performance.

  • Experience with surface treatment and surface metrology/measurement.

We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Why join Berkeley Lab?

We invest in our employees by offering a total rewards package you can count on:

  • Exceptional health and retirement benefits, including pension or 401K-style plans

  • Opportunities to grow in your career - check out our Tuition Assistance Program

  • A culture where you'll belong - we are invested in our teams!

  • In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.

  • Parental bonding leave (for both mothers and fathers)

  • Pet insurance

Additional information:

  • Application date: Candidate consideration will start on June 15, 2026, but applications will be accepted until the job posting is removed in a rolling basis.

  • Appointment type: This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Po