... Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many ... Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics ...
... Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many ... Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics ...
... Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many ... Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics ...
... Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many ... Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics ...
Berkeley Lab's Applied math and Computational Sciences Division has an opening for a Beyond Moore ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
Berkeley Lab's Applied math and Computational Sciences Division has an opening for a Beyond Moore ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
... logic that drives Block's top-line growth. Our credit products are material drivers of the company ... A degree in a technical field (e.g., Computer Science, Mathematics, Statistics, Physics, or ...
... logic that drives Block's top-line growth. Our credit products are material drivers of the company ... A degree in a technical field (e.g., Computer Science, Mathematics, Statistics, Physics, or ...
Motion Sensing Hardware Engineer
$175K - $308K/yr
Preferred Qualifications PhD in physics or engineering related fields/MS with 2+ years of hands-on ... Excellent critical analysis, statistical analysis, and logic/problem solving skills. Competency in ...
Motion Sensing Hardware Engineer
$175K - $308K/yr
Preferred Qualifications PhD in physics or engineering related fields/MS with 2+ years of hands-on ... Excellent critical analysis, statistical analysis, and logic/problem solving skills. Competency in ...
Motion Sensing Hardware Engineer
$175K - $308K/yr
Preferred Qualifications PhD in physics or engineering related fields/MS with 2+ years of hands-on ... Excellent critical analysis, statistical analysis, and logic/problem solving skills. Competency in ...
Motion Sensing Hardware Engineer
$175K - $308K/yr
Preferred Qualifications PhD in physics or engineering related fields/MS with 2+ years of hands-on ... Excellent critical analysis, statistical analysis, and logic/problem solving skills. Competency in ...
Mathematical Logic Phd information
See Rohnert Park, CA salary details
$19.17 - $21.81
2% of jobs
$21.81 - $24.45
7% of jobs
$24.45 - $27.09
15% of jobs
$27.16 is the 25th percentile. Wages below this are outliers.
$27.09 - $29.73
19% of jobs
The median wage is $30.66 / hr.
$29.73 - $32.37
18% of jobs
$32.37 - $35
9% of jobs
$36.32 is the 75th percentile. Wages above this are outliers.
$35 - $37.64
10% of jobs
$37.64 - $40.28
7% of jobs
$40.28 - $42.92
5% of jobs
$42.92 - $45.56
4% of jobs
$45.56 - $48.20
3% of jobs
$19
$32
$48
How much do mathematical logic phd jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for mathematical logic phd in Rohnert Park, CA is $32.80, according to ZipRecruiter salary data. Most workers in this role earn between $26.88 and $37.26 per hour, depending on experience, location, and employer.
What is a Mathematical Logic PhD?
A Mathematical Logic PhD is a doctoral degree focused on the study of formal systems, reasoning, and the foundations of mathematics. Students in this program research topics such as set theory, model theory, recursion theory, and proof theory. Graduates often pursue careers in academia, research, or industry roles that require advanced logical reasoning and mathematical skills. The program typically involves coursework, comprehensive exams, and original research culminating in a dissertation.
What are the key skills and qualifications needed to thrive as a Mathematical Logic PhD, and why are they important?
To thrive as a Mathematical Logic PhD, you need advanced knowledge of mathematical logic, formal systems, set theory, and proof techniques, typically supported by a doctoral degree in mathematics or a related field. Proficiency with mathematical software (such as LaTeX, Coq, or Mathematica) and experience with academic research tools are highly valuable. Strong analytical thinking, perseverance, and clear written and verbal communication skills help you excel in both independent research and collaborative academic environments. These competencies are crucial for advancing theoretical understanding, producing publishable research, and contributing to the broader mathematical community.
What are the typical research and collaboration opportunities available to someone with a PhD in Mathematical Logic?
A PhD in Mathematical Logic opens doors to research positions in academia, technology companies, and research institutes, where collaboration is key. You may work as part of interdisciplinary teams with computer scientists, mathematicians, and philosophers on projects like formal verification, artificial intelligence, or foundations of mathematics. Challenges often include communicating complex ideas to those outside your specialty and balancing independent research with collaborative projects. These roles frequently provide opportunities to publish, attend conferences, and mentor students, fostering both personal growth and professional networking.
What is the difference between Mathematical Logic Phd vs Data Scientist?
| Aspect | Mathematical Logic Phd | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Mathematics or Logic, strong analytical skills | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Academic, research institutions, or specialized think tanks | Corporate, tech companies, or consulting firms |
| Industry Usage | Research, academia, theoretical development | Data analysis, machine learning, business insights |
| Common Search/Comparison | Mathematical Logic Phd vs Data Scientist |
The Mathematical Logic Phd typically focuses on theoretical research and academic roles requiring advanced mathematical and logical expertise. In contrast, a Data Scientist applies statistical and computational skills to analyze data and solve practical business problems. While both roles require strong analytical skills, their work environments and industry applications differ significantly.
What cities near Rohnert Park, CA are hiring for Mathematical Logic Phd jobs?
Cities near Rohnert Park, CA with the most Mathematical Logic Phd job openings:
Other
Posted 17 days ago
Job description
About Company::
Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other
About the Role
We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.
You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.
Location: - This is US based role, should be open to travel on needed basis
🎯 Key Responsibilities
- Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
- Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
- Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
- Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
- Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.
Required Qualifications
- Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
- Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
- Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
- Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
- Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.
📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!