Los Alamos National Laboratory · 2 hours ago
Post-Master Position in Computer Science and Data Science for Materials Characterization
Los Alamos, NM
Full-time
Onsite
New Grad, Entry LevelLos Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a highly motivated post-master researcher to develop advanced analysis software and automated workflows for next-generation materials characterization.
Security
No H1B
U.S. Citizen Only
Responsibilities
Design, implement, and optimize automated data analysis pipelines for complex, high-dimensional, and multimodal experimental datasets
Develop 3D microstructural analysis tools, computer vision algorithms, and data-driven methods that enable scalable and reproducible materials analysis
Contribute to the development and extension of METIS3D, a graph-based microstructural analysis platform, by implementing new microstructural descriptors, improving scalability and memory efficiency, and enabling automated, graph-based and data-driven analyses
Develop novel digital image correlation (DIC) and computer vision methods to detect microstructural discontinuities (e.g., slip, twinning) and accurately quantify local strain evolution during deformation experiments
Collaborate within a highly interdisciplinary team spanning materials science, applied mathematics, and computer science
Qualification
Required
Degree in Computer Science or Computer Science and Electrical Engineering
Strong background in data science, algorithms, and software engineering
Proficiency in C++, Python, and Matlab
Solid foundation in computer vision, numerical methods, and mathematical analysis
Experience developing automated analysis workflows and research-grade software
Master's degree in computer science, Electrical Engineering, Completed within the last two years
Must have earned a Master's degree from an accredited institution (or international equivalent) within the last 3 years in an appropriate field
Must have graduated with a cumulative GPA of 3.2 on a 4.0 scale (or equivalent)
Preferred
Experience handling multimodal and high-dimensional datasets
Familiarity with workflow automation, scripting, and pipeline development
Experience with graph algorithms and complex data structures
Experience working with large C++ codebases and performance optimization
Background in signal processing and optimization methods
Experience with digital image correlation or image-based deformation analysis
Exposure to 3D microstructural analysis (e.g., EBSD or tomography data) is a plus
Self-motivated and able to work independently
Strong communication skills
Comfortable working in an interdisciplinary research environment
Benefits
PPO or High Deductible medical insurance with the same large nationwide network
Dental and vision insurance
Free basic life and disability insurance
Paid childbirth and parental leave
Award-winning 401(k) (6% matching plus 3.5% annually)
Learning opportunities and tuition assistance
Flexible schedules and time off (PTO and holidays)
Onsite gyms and wellness programs
Extensive relocation packages (outside a 50 mile radius)
Company
Los Alamos National Laboratory
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is
Founded in 1943
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of EnergyU.S. Department of Homeland Security
2023-08-16Grant
2023-05-19Grant
2023-01-17Grant
Leadership Team
Alex Delaney
R&D Engineer, Detonation Science and Technology
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