Argonne National Laboratory (Lemont, IL)
Researchers in applied mathematics, a core capability at Argonne since the late 1970s, focus on optimization, partial differential equations, and computational differentiation. Argonne's optimization group has earned international renown for devising key concepts in optimization and for developing the MINPACK, NEOS, and TAO toolkits. Leaders of Argonne's partial differential equations group develop R&D 100 Award-winning software such as PETSc, the Portable Extensible Toolkit for Scientific Computation, and Nek5000, for high-order simulations of complex fluid flows on massively parallel architectures. Computational differentiation, which originated at Argonne, has been cited as one of the top ten developments in scientific computing for 1970-2000.The applied mathematics program has expanded into new areas such as statistical and mathematical analysis of large data sets generated by U.S. Department of Energy's experimental facilities and machine learning for science and engineering applications.
Argonne is home to an exceptional computational environment and hosts a world-class supercomputer facility, the Argonne Leadership Computing Facility (ALCF). The computing resources at the ALCF are 10 to 100 times more powerful than systems typically used for scientific research and are open to researchers in academia, industry, and government laboratories. These powerful systems provide petascale computing capabilities that enable the computational science and engineering community to run large and complex applications.
Non-technical Contact: Lisa Reed, Undergraduate and Graduate Lead, at 630-252-3366 or email@example.com
Technical Contact: Dr. Stefan Wild, at 630-252-9948 or firstname.lastname@example.org
Fermi National Accelerator Laboratory (Batavia, IL)
Fermilab is America’s laboratory for particle physics and accelerators. Inspired by a mission to explore the fundamental mysteries of matter, energy, space, and time, Fermilab seeks to drive discovery by performing pioneering research with national and international partners
We are early leaders in the world of quantum-information science where mathematical models, simulation, and analysis are guiding decisions about computing beyond Moore’s Law. Long-time students of neural networks and Bayesian statistical techniques, Fermilab is advancing developments in artificial intelligence and deep learning to substantially improve the effectiveness of its physics data. In one case, application of deep learning to a neutrino-physics analysis improved the science reach of the detector by 30%. Other opportunities include formal aspects of machine learning such as stability of generative models, bayesian treatments of uncertainty in deep learning utilizing complex priors, and so on.
Driven by a global science that shares data and processing effort with hundreds of institutions, Fermilab is a leader in grid computing, high-speed networking, and on-demand network-provisioned resources. These tools are the basis of a collaboration with Google and Amazon known as HEPcloud. Big-data challenges abound in particle physics and progress is being made at Fermilab, from optimizing resource sharing and interconnects using a mediated-market model to hunting for dark-matter needles in the Large Hadron Collider haystacks of data.
In addition to quantum science and computational prowess, Fermilab pursues precision science that challenges the forefronts of probability and statistics as well as cosmology that uses field-theoretic tools to develop mathematical models of space-time, gravitational waves, and the early Universe.
For more inquiries, contract Roni Harnik at email@example.com.
Lawrence Berkeley National Laboratory (Berkeley, CA)
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with “excellence.” Thirteen Nobel prizes are associated with Berkeley Lab. Seventy Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation’s highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world.
Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy (DOE) through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Much of our mathematical sciences research is conducted in the Computational Research Division. Our work is mostly computational. The areas we focus on include, but are not limited to, discretization, numerical solution of partial differential equations, numerical linear algebra, numerical optimization, and graph algorithms. Our projects are often motivated by scientific problems that are relevant to the mission of DOE, such as combustion simulation, materials science, chemical sciences, accelerator physics, nuclear physics, astrophysics and cosmology, environmental sciences, climate modeling, genome sequencing. Please visit crd.lbl.gov for detailed information about the Computational Research Division and our research activities in mathematical sciences.
Contact: Esmond Ng, at 510-495-2851 or firstname.lastname@example.org
Lawrence Livermore National Laboratory (Livermore, CA)
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place. LLNL’s defining responsibility is ensuring the safety, security, and reliability of the nation's nuclear deterrent. Yet LLNL's mission is broader than stockpile stewardship, as dangers ranging from nuclear proliferation and terrorism to energy shortages and climate change threaten national security and global stability. The Laboratory's science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security.
Computing is in the DNA of LLNL, which has been a leader in scientific computing since the Lab’s inception. The Center for Applied Scientific Computing within LLNL is a premier computational science research center that advances the applied mathematics, computational physics, computer science, and data science needed to fulfill the Department of Energy’s national security mission, advance scientific discovery through basic research, and gain insight through large-scale data analytics. LLNL’s mission-driven applications demand efficient solution technologies for complex multiscale, multiphysics systems. CASC researchers meet this need through the development of algorithms and software for solving linear and nonlinear systems, high-order and adaptive discretization technologies for complex computational domains, reduced order modeling techniques, and uncertainty quantification. Our methods are applied to numerous areas of science and engineering, including fluid dynamics, solid mechanics, combustion, elasticity, electromagnetics, large-scale data mining, and cyber security.
LLNL missions, now and in the future, also demand innovation in data science. Simulations are producing ever‐larger data sets, and sensors from diverse sources such as the energy grid, satellites, and laser experiments generate data that requires rapid analysis. We are creating signature applications to specifically address cyber security, electric grid optimization, biodefense, and climate change.
LLNL is home to a world-class HPC environment with constantly evolving hardware and a wealth of expertise in porting, running, and tuning large-scale applications. In 2017, LLNL will introduce a 150-petaflop computer called Sierra. The system will offer unprecedented and challenging parallelism, containing millions of heterogeneous cores. Effectively utilizing this machine, and the exascale systems that will follow, will require fully rethinking the computational mathematics, multiscale and multiphysics methods, uncertainty quantification, and data analysis methods that are the foundation of LLNL’s sophisticated scientific simulations. CASC will be among the leaders in the research that reinvents scientific computing.
Contact: Jeffrey A. F. Hittinger, Center for Applied Scientific Computing, at 925-422-0993 or email@example.com
Los Alamos National Laboratory (Los Alamos, NM)
Located in historic Los Alamos, New Mexico, against the backdrop of the Jemez Mountains, Los Alamos National Laboratory (LANL) offers a wide variety of internship opportunities to support student academic and professional achievement. Student interns at LANL are provided with the chance to apply their knowledge while learning from some of the brightest scientists and technical experts in the nation. Every year, LANL hosts close to 1,800 students in a variety of programs and sponsorships ranging from high school cooperatives, technical training and apprenticeships, undergraduate internships, graduate research assistantships, and postdoctoral appointments. The Laboratory’s educational programs are diverse and include partnerships with governmental sponsors, national and local foundations, and research universities.
We have a compelling mission of national importance and successfully bring the full breadth of LANL’s scientific and engineering communities together to conquer homeland security challenges. Our competitive strength lies in our ability to be aggressive and agile. We bring experts in our program focus areas together with those in Information and Infrastructure Modeling and Simulation to provide integrated solutions.
During the summer students are able to take advantage of a wide range of opportunities to learn more about subjects of immediate national security concern and scientific interest. Three afternoons each week the Summer Lecture Series features talks by LANL experts on a wide range of subjects across the broad spectrum of LANL Research. Examples from last summer included talks on climate modeling, hydraulic fracturing, earthquakes, HIV vaccine development, and material science innovations. Weekly tours are also arranged by the LANL Students’ Association providing students with the chance to visit several world class research facilities operating at the Lab. Professional development workshops for students include resume development, presentation skills, professional communications, and other topics related to career development and navigation.
For additional information regarding LANL Student Programs you can visit our web page at: http://www.lanl.gov/careers/career-options/student-internships/index.php
Contact: Scott Robbins, Ph.D., LANL Student Programs Manager, at 505-667-3639 or firstname.lastname@example.org
National Center for Atmospheric Research (Boulder, CO)
The National Center for Atmospheric Research (NCAR) was established by the National Science Foundation in 1960 to provide the university community with facilities and services that were beyond the reach of any individual institution. Its research focus is on understanding the complicated relationships between our atmosphere and the rest of the Earth system, including the oceans, the ice, the land surface, and the Sun. NCAR provides the atmospheric and related Earth system science community with state-of-the-art resources, including supercomputers, research aircraft, sophisticated computer models, and extensive data sets. NCAR's in-house staff of preeminent researchers and engineers works with community collaborators to ensure that these resources are capable of meeting the demands of today's greatest scientific challenges that face our planet.
NCAR is home to a rich and vibrant computational environment, hosting world-class supercomputing resources through the NCAR-Wyoming Supercomputing Center. Much of our mathematical sciences research is conducted in the Computational Information Systems Lab. Mathematical models and data analysis tools, such as the latest innovations in virtual reality to create 3D visualizations, are brought to bear on fundamental problems in understanding our Earth System. With the fields of meteorology and climate science having some of the largest data sets and complex multiscale, multiphysics systems, NCAR has delved into the realm of machine learning for identifying physical patterns and accelerating parameterizations whose performance has stagnated on conventional architectures. To be at the forefront of today’s fast evolving HPC environment, the next generation of weather and climate models will require advances in computational/applied mathematics integrated with the latest machine learning technologies.
Contact: Dr. Rich Loft, NCAR Computational Information Systems Lab, at email@example.com.
National Institute of Standards and Technology (Gaithersburg, MD)
The National Institute of Standards and Technology (NIST), founded in 1901, is one of the nation's oldest Federal physical science laboratories. Now part of the Department of Commerce, NIST serves as the National Metrology Institute (NMI) for the United States, working with other NMI's around the globe to maintain and assure the accuracy of the International System of Units (SI). NIST also engages in a wide range of technological research to help enhance the competitiveness of U.S. industry. NIST has a permanent staff of about 3500 with academic-like campuses in Gaithersburg, MD (just outside of Washington, DC), Boulder, CO, and several other locations.
The NIST Statistical Engineering Division (SED) collaborates with scientists and engineers from NIST, other NMI's, industry, and government on applied research in metrology, the science of measurement. Opportunities include projects on the design of experiments and analysis of data to improve existing measurement methods or to develop new measurement methods. Research areas include chemical and biological measurements, fire research, forensic science, basic and applied physics, materials science, manufacturing, environmental measurements, networks and communications, electronics and electrical engineering, civil engineering, and nanotechnology. Statistical areas of interest include nonparametric or computer-intensive methods, machine learning, artificial intelligence, uncertainty analysis (including model uncertainty), Bayesian analysis, linear models, time series, probabilistic modeling, and robust statistical methods.
The NIST Applied and Computational Mathematics Division (ACMD) focuses on the use of mathematics to solve problems arising in measurement science and related applications. In that role ACMD staff members perform research and development in applied mathematics and computational science and engineering, develop and disseminate mathematical reference data, software, and related tools, and collaborate with NIST scientists to apply such technologies to NIST problems. The technical work of the Division is organized into two broad areas: Mathematics of Metrology and High-Performance Computing and Visualization. Special focus areas include Advanced Materials, Quantum Information, Foundations of Measurement Science for Information Systems, and Mathematical Knowledge Management.
National Renewable Energy Laboratory (Golden, CO)
At NREL, we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.
Researching energy systems and technologies—and the science behind them—for a future powered by clean energy.
Contact: Ray Grout, Workforce Development and Education Programs, at 303-384-6447 or Ray.Grout@nrel.gov
Nevada National Security Site (Las Vegas, NV)
The Nevada National Security Site (NNSS) is a research laboratory complex larger than the state of Rhode Island, and includes additional sites located across four different states, that serves as the nation’s premier facility for high-hazard experimentation in support of the National Nuclear Security Administration’s Stockpile Stewardship and Global Security missions. Complementing our extensive experimental program are mathematical and computational efforts in support of experimentation and emergency response capabilities, including multiphysics and radiation transport modeling and simulation, modeling of radiation detectors and other instrumentation, and algorithms development for data analysis and uncertainty quantification.
Algorithms Development for Uncertainty Quantification in Large-scale Data Analysis
One of the core experimental programs at the NNSS is the subcritical experiments program (SCE), which provides data characterizing the implosion hydrodynamic behavior of plutonium and surrogate materials. A wide range of data are collected, including interferometric velocimetry, interferometric position measurements, and X-ray radiography, among others. Each of these measurements requires mathematical models to characterize the physics of the detection systems, as well as statistical algorithms for inferring information from the data and quantifying the associated uncertainties. The same need to characterize detection systems is required in emergency response when personnel are deployed to detect and locate radiological sources. The NNSS data analysis team is active in the research and development of hierarchical Bayesian models for inverse problems associated with large-scale data, Markov Chain Monte Carlo methods for sampling from Bayesian posteriors, image segmentation methods for detecting material boundaries, and methods for effectively extracting information from multiple data sources simultaneously. Projects in this focus area will include collaborations with diagnosticians who are developing the latest measurement systems for material studies in extreme temperatures and pressures, and will require the development of entirely new computer codes.
U.S. Citizenship is required.
Contact: Aaron Luttman, Ph.D, at 702-295-0303 or firstname.lastname@example.org.
Oak Ridge National Laboratory (Oak Ridge, TN)
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. ORNL’s diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace. ORNL supports DOE’s national missions of:
- Scientific discovery—We assemble teams of experts from diverse backgrounds, equip them with powerful instruments and research facilities, and address compelling national problems;
- Clean energy—We deliver energy technology solutions for energy-efficient buildings, transportation, and manufacturing, and we study biological, environmental, and climate systems in order to develop new biofuels and bioproducts and to explore the impacts of climate change;
- Security—We develop and deploy “first-of-a-kind” science-based security technologies to make the world a safer place.
Contact: Robert A. Bridges, PhD, at 865-574-5438 or email@example.com
Pacific Northwest National Laboratory (Richland, WA)
Discovery in action. These words describe what we do at PNNL, which has been operated by Battelle and its predecessors since our inception in 1965. For more than 50 years, we've advanced the frontiers of science and engineering in the service of our nation and the world. We make fundamental scientific discoveries that illuminate the mysteries of our planet and the universe. We apply our scientific expertise to tackle some of the most challenging problems in energy, the environment, and national security technology and leadership our customers need to succeed.
Contact: Nancy Roe, at 509-375-4530 or firstname.lastname@example.org.
Renewable and Sustainable Energy Institute (Boulder, CO)
RASEI is a joint institute between the University of Colorado Boulder (CU-Boulder) and the National Renewable Energy Laboratory (NREL) addressing important, complex problems in energy that require a multidisciplinary, multi-institutional approach.
Its mission is to expedite solutions that transform energy by advancing renewable energy science, engineering, and analysis through research, education, and industry partnerships.
RASEI benefits from the strengths of its partner institutions. CU-Boulder is a premier institution for research and education, and its broad spectrum of capabilities and disciplines contributed to its placement of eight in research citation output among U.S. institutions of higher learning. NREL is the only national laboratory solely dedicated to advancing renewable energy and energy efficiency technologies from concept to commercial application.
Contact: Jeffrey C. Cameron, at 303-492-9312 or email@example.com.
Sandia National Laboratories (Albuquerque, NM and Livermore, CA)
National security is our business. We apply science to help detect, repel, defeat, or mitigate threats.
For more than 60 years, Sandia has delivered essential science and technology to resolve the nation's most challenging security issues.
Sandia National Laboratories is operated and managed by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc. Sandia Corporation operates Sandia National Laboratories as a contractor for the U.S. Department of Energy’s National Nuclear Security Administration (NNSA) and supports numerous federal, state, and local government agencies, companies, and organizations.
As a Federally Funded Research and Development Center (FFRDC), Sandia may perform work for industry responding to certain types of federal government solicitations. The solicitation must allow FFRDC participation and meet the requirements of Sandia's management and operating contract with DOE/NNSA.
A strong science, technology, and engineering foundation enables Sandia's mission through a capable research staff working at the forefront of innovation, collaborative research with universities and companies, and discretionary research projects with significant potential impact.
In keeping with our vision to be the nation's premier science and engineering laboratory for national security and technology innovation, we recruit the best and the brightest, equip them with world-class research tools and facilities, and provide opportunities to collaborate with technical experts from many different scientific disciplines.
The excitement and importance of our work; an exemplary work environment; partnerships with academia, industry, and government; and our record of historic contributions help us attract exceptional staff. Our employees are recognized by their professional peers for their outstanding contributions.
Although most of Sandia's approximately 10,000 employees work at Sandia's headquarters in Albuquerque, New Mexico, or at its second principal laboratory in Livermore, California, others are working at various sites in the U.S. and abroad to deliver innovative and reliable solutions in a changing world.
Please visit the Center for Computing Research at Sandia Laboratories for more information on our research activities in the mathematical sciences.
Contact: Dr. Michael Parks, at 505-845-0512 or firstname.lastname@example.org
Scripps Institution of Oceanography (San Diego, CA)
A department of UC San Diego, Scripps Institution of Oceanography is one of the oldest, largest, and most important centers for ocean, earth and atmospheric science research, education, and public service in the world.
Research at Scripps encompasses physical, chemical, biological, geological, and geophysical studies of the oceans, Earth, and planets. Scripps undergraduate and graduate programs provide transformative educational and research opportunities in ocean, earth, and atmospheric sciences, as well as degrees in climate science and policy and marine biodiversity and conservation.
Contact: Dr. George Sugihara, at 858-534-5582 or email@example.com.
U.S. Army Corps of Engineers, Engineer Research and Development Center (Alexandria, VA/Hanover, NH/Vicksburg, MS)The U.S. Army Corps of Engineers' (USACE) Engineer Research and Development Center (ERDC) helps solve our Nation’s most challenging problems in civil and military engineering, geospatial sciences, water resources, and environmental sciences for the Army, Department of Defense, civilian agencies, and our Nation’s public good.
ERDC conducts research and development in five major areas:
- Military Engineering
- Environmental Quality and Installations
- Water Resources
- Geospatial Research and Engineering
- Engineered Resilient Systems
US Citizenship may be required.