2026 Phd Residency - Operations Research And Optimization (early Stage Project)
X9
Mountain View, CA, United States
Base: $109,000 - $157,000; bonus/equity: not speci...
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Phd enrollment in stem field
Strong python or c/c++ programming
Deep understanding of stochastic modeling
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X9 is seeking a PhD candidate for a residency focused on Operations Research and Optimization, aimed at leveraging machine learning for industrial systems. The position, located in Mountain View, CA, offers a collaborative environment where residents can engage in cutting-edge projects while developing their skills.
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Job Summary
The role involves collaborating with the X Project team to design and develop operations research approaches to support the project's mission.
Candidates will be embedded into confidential or public X projects while receiving competitive pay and benefits.
The program offers a flexible duration of 4 months to 1 year based on project needs and availability.
Matching Summary
Match Score: 75
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X9 is seeking a PhD candidate for a residency focused on Operations Research and Optimization, aimed at leveraging machine learning for industrial systems. The position, located in Mountain View, CA, offers a collaborative environment where residents can engage in cutting-edge projects while developing their skills.
**
Salary
Base: $109,000 - $157,000; Bonus/Equity: Not specified; Benefits: Competitive benefits included
Skills & Requirements
Must-have
PhD enrollment in STEM field
Strong Python or C/C++ programming
Deep understanding of stochastic modeling
Experience with combinatorial optimization
Nice-to-have
Open-source projects demonstrating skills
Proficiency in high-performance computing frameworks
Familiarity with Bayesian optimization methods
Publications in relevant conferences
Key Requirements
Currently enrolled in PhD program
STEM background in operations research or applied mathematics