Materials/Machine Learning Postdoctoral Researcher
1 week ago
We are seeking a highly motivated postdoctoral researcher to join our team at Los Alamos National Laboratory. The successful candidate will have a strong background in materials science and machine learning, with experience in processing and characterizing materials using advanced techniques.
Key Responsibilities- Develop and implement machine learning algorithms to analyze and predict material properties
- Conduct experiments to collect data on material properties and behavior
- Collaborate with researchers to integrate machine learning tools into laboratory workflows
- Design and develop automated laboratory systems to accelerate data collection
- Ph.D. in Materials Science and Engineering, Mechanical Engineering, or related field
- Experience with machine learning techniques and programming languages (e.g. Python, Fortran, C++)
- Hands-on experience with materials processing and characterization techniques (e.g. arc-melter, EOS, EBSD)
- Strong problem-solving and communication skills
- Experience with robotics and automation
- Knowledge of transmission electron microscopy (TEM) and other advanced characterization techniques
- Publication record in reputable, peer-reviewed journals
Los Alamos National Laboratory offers a competitive salary and benefits package, including health insurance, retirement savings, and paid time off. We also provide opportunities for professional development and collaboration with a diverse team of researchers.
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Los Alamos, New Mexico, United States MPA-CINTCenter For Integrated Nanotechnologies Full timeJob TitleMaterials/Machine Learning Postdoctoral ResearcherLocationLos Alamos, NM, USOrganizationMPA-CINT/Center For Integrated NanotechnologiesJob SummaryWe are seeking a highly motivated postdoctoral researcher in the area of materials science and machine learning. The successful candidate will have a strong background in materials science and engineering,...
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