Lawrence Livermore National Laboratory High-Energy-Density-Physics Summer Internship Program

By | SC2 jobs

Lawrence Livermore National Laboratory HEDP Summer Internship Program

This is an opportunity for student interns to conduct research in fields such as nuclear physics, radiation transport, hydrodynamics, astrophysics, plasma dynamics, numerical methods, and computer science supporting national security for the Weapons and Complex Integration Directorate. Research projects combine theory with computation and are geared to further the students’ educational goals. During the summer, students work directly with laboratory mentors in their fields of research. Internship opportunities are available for highly qualified candidates at all levels of undergraduate or graduate education. Internships are for 3 months during the summer academic break. Students must arrive in May or June, work for three months and depart in August or September.

Application deadline: January 20, 2020
https://wci.llnl.gov/careers/students
Apply to job #106049

This program is a good opportunity for students to work on interesting summer projects across the breadth of high energy density physics (including computational transport) and to experience LLNL and California.

Lawrence Livermore National Laboratory LLNL (www.llnl.gov) applies science and technology to important problems related to national security including nuclear weapons stockpile stewardship, nonproliferation, and homeland security. In support of this mission, the laboratory has a history of and continues to pioneer technical innovations in many areas including high-energy-density physics, high-performance scientific computing, and inertial confinement fusion. LLNL is one of this country’s largest and finest research and engineering laboratories, and is located in beautiful Northern California.

The NSF Computational Mechanics Vision Workshop

By | Events, Research

Over October 31 and November 1, 2019 MICDE hosted the 2019 Computational Mechanics Vision workshop that aimed to gather and synthesize future directions for computational mechanics research in the United States. Attended by more than 50 experts in various sub-disciplines of computational mechanics from across the country, including five National Science Foundation Program Directors, the group spent a day and a half brainstorming about the future of computational mechanics and defining new paradigms, methodologies and trends in this exciting and vast field. The workshop focused on four emerging areas in Computational Mechanics: Machine Learning, Additive Manufacturing, Computational Medicine, and Risk and Uncertainty Quantification. Operating through open discussions on talks by experts from within and beyond Computational Mechanics, and breakout sessions on the above four topics, the workshop participants arrived at a series of recommendations that could drive NSF’s investments in this field for the next decade and beyond.

To learn more about the event please visit micde.umich.edu/nsf-compmech-workshop-2019/.