Computer, Computational, and Statistical Sciences Postbac

at  Los Alamos National Laboratory

MINIMUM JOB REQUIREMENTS:

Education or experience in one of the following areas relevant to CCS Division:
o Computational earth science
o Numerical analysis
o Plasma physics
o Astrophysics
o Computational physics
o Computational material science
o Computational radiation or particle transport
o Machine Learning
o Statistics
o Computer Science
Education/Experience: BS/BA Degree from an accredited program in engineering, mathematics, computer science, physics, or related field completed within the past 3 years with a cumulative GPA of at least a 3.2 on a 4.0 scale.

DESIRED QUALIFICATIONS:

• Strong leadership skills
  Location: This position will be physically located in Los Alamos, NM. in the Telework Pilot may be shortened or extended at the manager’s discretion.

Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computer, Computational and Statistical Sciences (CCS) Division is seeking recent graduates looking for a challenging postgraduate internship at the post-baccalaureate level. As a CCS postbac, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues. The projects will vary depending on your skills and interests and the Laboratory’s current needs.

Computer, Computational and Statistical Sciences (CCS) Division is a problem-solving organization that works in four principal LANL mission areas:

• Nuclear Weapons Program
• Threat Reduction and Department of Homeland Security programs
• Basic science and technology research programs
• Institutional Computing Program

You will work closely with one of four groups within CCS Division.
1. Computational Physics and Methods conducts research in numerical methods and algorithms, physical model development, and software engineering.
2. Information Sciences engages in a wide variety of basic and applied research activities that are directly applicable to core needs.
3. Statistical Sciences provides statistical reasoning and rigor to multidisciplinary scientific investigations and the development, application, and communication of cutting-edge statistical sciences research.
4. Applied Computer Science is to be the vanguard for scientific simulations at extreme scale through the co-design of applications, algorithms, and architectures.