Associate Tensorflow Jobs in New Mexico (NOW HIRING)

Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking an Undergraduate Research Associate to support research projects in computational materials science and data-driven experimental design, focusing on nuclear fuel systems and advanced computational methods for experimental design.
Responsibilities:
• Identify spatial and compositional patterns in multi-element mapping datasets (e.g., gradients, segregation, inclusions, clustering, interfaces, and anomalous regions);
• Recommend follow-on measurement actions to maximize information gain, including:
• Identifying regions where additional raster scans should be performed,
• Suggesting locations for higher-resolution or higher-statistics scans,
• Proposing targeted point analyses to refine compositional estimates;
• Optimize acquisition parameters (e.g., dwell time, step size, spatial resolution, and count-statistics proxies) to enhance data quality while respecting operational and instrument constraints;
• Detect and manage out-of-bounds or invalid parameter selections by incorporating safe operating limits into the decision-making framework;
• Integrate uncertainty quantification and data-quality metrics to prioritize measurements and avoid low-value or unreliable regions.
• The student will implement the developed methods in Python-based, open-source software with emphasis on reproducibility, modular architecture, and transparency. The resulting codebase will be structured as a generalizable, community-accessible framework suitable for peer-reviewed publication and broad dissemination.
Qualifications:
Required:
• Strong programming experience in Python, including scientific computing libraries (NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, etc.)
• Experience with machine learning, AI methods, or data-driven modeling
• Familiarity with uncertainty quantification, statistical inference, or Bayesian experimental design
• Experience analyzing spatially resolved or imaging datasets
• Demonstrated ability to design and implement modular, reproducible scientific software
• Demonstrated ability to conduct independent and collaborative research
• Strong written and oral communication skills
• Enrolled in a Ph.D. program in materials science, computer engineering, or a closely related discipline
• Documentation of acceptance into a graduate program
• Successfully completed a minimum of 6 graduate credit hours per semester (or the equivalent of full-time enrollment)
• Have and maintain a minimum cumulative GPA of 3.5 on 4.0 scale
• Pass a new employment drug test
Preferred:
• Experience working with scientific instrumentation data or experimental workflows
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.