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Additive Manufacturing Scientist 3

Full Time 1 days ago
USA
Los Alamos, New Mexico
Los Alamos National Laboratory

Organization

Los Alamos National Laboratory is one of the world’s most innovative multidisciplinary research institutions. We’re engaged in strategic science on behalf of national security to ensure the safety and reliability of the U.S. nuclear stockpile. Our workforce specializes in a wide range of progressive science, technology and engineering across many exciting fields, including space exploration, geophysics, renewable energy, supercomputing, medicine and nanotechnology.

Mission

Sigma Division focuses on manufacturing science emphasizing metallurgical processes and research in support of the experimental testing program at Los Alamos. Sigma division supports a broad customer base, both internal and external to LANL, with high quality prototype and research and development capabilities. The work covers all materials from hydrogen to uranium on the periodic table. The Additive Manufacturing (AM) team encompasses many types of metal and ceramic AM, including laser powder bed fusion, electron beam additive manufacturing, cold spray, and associated processing. The team also supports computational efforts, both internal to the team and in collaboration with other LANL experts, to investigate compensation, residual stresses, material composition, and microstructure development. The AM team works with the other teams in Sigma and beyond to solve manufacturing challenges, develop prototypes, provide metallurgical guidance, and lead the way in cutting edge additive manufacturing processes.

If you are passionate about pushing the boundaries of additive manufacturing and have the technical expertise to make a real impact, we encourage you to apply. This is an exciting opportunity to join a dynamic, innovative team and contribute to the development of cutting-edge manufacturing solutions.

Profile

Minimum Job Requirements:

  • Be an expert in one or more metal additive manufacturing technologies, including powder bed fusion, directed energy deposition, wire arc additive, and electron beam additive manufacturing.
  • Have proven expertise in metallurgy, with a deep understanding of solidification science and microstructural evolution; including but not limited to the properties and behavior of metals used in additive manufacturing, such as titanium, aluminum, stainless steel, and nickel-based alloys.
  • Have expert level understanding of computer-aided design (CAD) software.
  • Design, lead and execute projects to validate new additive manufacturing approaches.
  • Collaborate cross-functionally with scientists, engineers, technicians, and business stakeholders.
  • Demonstrate exceptional technical writing and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical audiences.
  • Lead proposal writing efforts for both internal and external R&D funding opportunities to acquire funding for self and others.
  • Have extensive hands-on experience with a wide range of metal additive manufacturing hardware, energy sources, and processes.
  • Have demonstrated leadership experience, including the ability to mentor and guide junior team members.
  • Have demonstrated experience developing new ideas and acquiring internal/external funding to support themselves and a small team.
  • Have excellent problem-solving skills and the ability to independently drive research and develop projects.

Education/Experience: Position requires a Master’s degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.

Desired Qualifications:

  • Advanced skills in computational modeling and simulation, including the ability to develop and validate physics-based models.
  • Strong data analysis skills, including the ability to extract insights from large, complex datasets.
  • Proficiency in data analysis and the application of advanced statistical and machine learning techniques and artificial intelligence (AI).
  • Experience with non-destructive testing or characterization of metal microstructures.
  • Experience with in-situ diagnostics.
  • Experience developing scientific vision and goals related to R&D applications, novel processes, or existing team capabilities.
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