Undergraduate Research Associate

** What You Will Do*
* Staff in the Materials Science in Radiation and Dynamics Extremes Group (MST-8) in the Materials Science and Technology Division at Los Alamos National Laboratory (LANL) are seeking a candidate for the Graduate Research Assistant Program in computational materials science and data-driven experimental design. The position is in support of several research projects that address multi-scale problems relating to nuclear fuel systems, including oxide, metallic, and other non-oxide ceramics fuels as well as steel, zirconium, and silicon carbide cladding, as well as their performance in reactor systems.

This position supports academic research focused on the development of advanced computational methods for adaptive experimental design in quantitative elemental imaging workflows. The research will involve the design, implementation, and evaluation of advanced computational algorithms that:

+ 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.

The ideal candidate will be pursuing the above topic for their own research in their University.

For general information to the Student Program go to https://(Use the "Apply for this Job" box below)..

** What You Need*
* ** Minimum

Job Requirements:

*
* + Strong programming experience in Python, including scientific computing libraries (Num Py, Sci Py, scikit-learn, PyTorch/Tensor Flow, 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;

+ Experience working with scientific instrumentation data or experimental workflows (preferred);

+ Demonstrated ability to conduct independent and collaborative research;

+ Strong written and oral communication skills.

*
* Education:

*
* Enrolled in a Ph.D. program in materials science, computer engineering, or a closely related discipline.

** Notes to Applicants:*
* + The cover letter should address the relevant job requirements and desired skills of this position, with specific examples from your academic and research experience. Expected degree completion dates and relevant coursework should also be included.

+ Evaluation of applications will commence immediately and continue until the position is filled.

** Requirements for acceptance:*
* + 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). All students MUST remain enrolled at their university while working at the Lab during the academic year.

+ Have and maintain a minimum cumulative GPA of 3.5 on 4.0 scale.

+ Pass a new employment drug test:
The Laboratory requires successful applicants to complete a new employment drug test and maintains a substance abuse policy that includes random drug testing.

+ No

Clearance Required:

Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

*
* Work Location:

** The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

** Note to Applicants:*
* Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the…