Undergraduate Internships Opportunities
LSU REU Programs in Computational Sciences and Material Science
June 3 - August 2, 2013
Application Deadline - March 1, 2013
The Center for Computation & Technology (CCT) hosts a nine week Research Experiences for Undergraduates (REU) program where students work collaboratively on a wide variety of computational science projects. Interested in a major that is within the computational sciences umbrella (leaves out few majors as it includes all sciences, mathematics, engineering, finance, statistics, etc.) with at least a 2.75 GPA, considering a career in research and/or graduate school in your major, being a US citizen or permanent resident, and graduating at least one semester after completion of the REU.
For more information and to apply, please visit http://reu.cct.lsu.edu/.
NASA-Sponsored Computing School for EnviSci Students
Application Deadline – March 13, 2013This summer and for the two following summers, the University of Virginia
will be hosting a NASA-sponsored Summer School in programming, basic software engineering, and HPC for students in environmental sciences. Twenty students will be accepted of whom 10 will get to spend the rest of the summer as interns at NASA centers. The Summer School portion will provide room and partial board (with a stipend for other expenses) and the internships will pay the standard NASA stipend. The program is focusing on graduate students who are early in their careers but will also accept senior-level undergraduates who plan to go on to graduate school. This is especially appropriate for students who are interested in large-scale modeling or other computing-intensive areas. Fields might include atmospheric, oceanic, climatological, and geophysical sciences, remote sensing, and possibly even ecology. For more information and to apply, please visit http://www.uvacse.virginia.edu/isscens/ and send an email of interest.
Search for Summer 2013 Undergraduate Internship Opportunities
If you an undergraduate interested in pursuing research this summer, you can find out about paid summer 2013 undergrad research placements at http://www.pathwaystoscience.org/Undergrads.asp. This site offers over 800 research placements.
NCAR Offers Summer 2013 Opportunities for Undergraduate and Graduate Students
The SIParCS Program at the National Center for Atmospheric Research (NCAR) offers graduate students and undergraduate students, who have completed their sophomore year by summer, significant hands-on R&D opportunities in high performance computing (HPC) and related fields that use HPC for scientific discovery and modeling. For more information, please visit http://www2.cisl.ucar.edu/siparcs.
Tuition and Stipend Support for Graduate Students
For those who plan to apply to graduate school, please visit http://www.pathwaystoscience.org/Grad.asp to find out more about financial support for graduate studies. This link includes information about Bridge to the Doctorate, IGERT and NSF Grad Research Fellowship programs that provide generous stipend and tuition support for students through the National Science Foundation.
NASA Opportunities for Undergraduate and Graduate Students
Find out information about NASA-supported internships, fellowships, and scholarships at intern.nasa.gov/<http://intern.nasa.gov/.
Graduate and Postdoctoral Fellowsjops
Image Analysis Postdoctoral Fellow
Lawrence Berkeley National Laboratory - Req #75328 =
As part of the Integrated Bioimaging Initiative and in collaboration with Oregon Health Sciences University (OHSU) in Portland OR, we have an immediate opening for a post-doctoral researcher to work on microscopic imaging, image analysis, and visualization methods to integrate image data from breast cancer-related signaling networks in cells at both electron microscopy (EM) and fluorescence microscopy (FM) spatial scales. The broad project goal is to allow architectural analysis of the nanoscale molecular assemblies that regulate information flow in cells while the postdoc will specifically focus on algorithm development to register information from the different scale and modality microscopies, automatically detect and segment signaling assemblies, detect and segment ultrastructural features, and use advanced visualization techniques to represent the analysis data to biologists on the project. In this multi-disciplinary project, the postdoc will work closely with biologists, chemists working on the labeling methods, microscopy experts from academia and industry, and computational scientists on the analysis methods. For more information and to apply, please visit
Computational Science Postdoctoral Fellowship
Lawrence Berkeley National Laboratory - Req #75275
The successful candidate will participate in research activities focused on development and applications of novel algorithms, approaches and software in the area of material informatics. Of particular interest is the development of capabilities 1) enabling enumeration, generation and characterization of defects in crystals, as well as 2) enabling automatic structure analysis and structural descriptor generation for efficient materials screening as well as data mining. The successful candidate will help to integrate the developed software into the Materials Project (http://www.materialsproject.org/), enabling users worldwide to efficiently discover and characterize diverse electronic materials. For more information and to apply, please visit https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75275.
Computational Science Postdoctoral Fellow
Lawrence Berkeley National Laboratory - Req #75040
The Center for Computational Sciences and Engineering has openings for two postdoctoral researchers to work at the interface between the development of combustion methodology for exascale architectures and computer science research aimed at developing the software stack needed to support exascale computing. For more information and to apply, please visit https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75040.
Molecular & Cell Biologist Postdoctoral Fellow
SCOP/ASTRAL at Lawrence Berkeley National Laboratory - Req #74849
This position is a postdoctoral research appointment responsible for several computational projects related to the SCOP and ASTRAL databases. The incumbent will help design and build the next generation of SCOP and ASTRAL. These resources provide carefully curated standards that are widely used by biologists to explore remote homologs of proteins of interest, and by computational biologists as a “gold standard” for benchmarking prediction algorithms. SCOP and ASTRAL are a critical resource for such studies: together, they have thousands of citations and tens of thousands of users. For more information and to apply, please visit http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&discussionID=190134243&gid=1775643&trk=eml-anet_dig-b_jb-ttl-cn&ut=2eLgQyl6aNnBw1.
Computational Science Postdoctoral Fellows
Lawrence Berkeley National Laboratory - Req # 75276
The Applied Numerical Algorithms Group in the Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) has immediate postdoctoral fellow openings in the area of development of computational algorithms and their application to scientific areas that are of interest to DOE and LBNL. For more information and to apply, please visit
Computational Science Postdoctoral Fellow (Computational Chemistry & Materials Science)
Lawrence Berkeley National Laboratory - Req # 75368
The Scientific Computing Group in the Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) has a postdoctoral fellow opening in the area of Computational Chemistry and Materials Science.
The successful candidates will participate in research activities related to computational mathematics for chemistry and materials science that are relevant to DOE and LBNL missions. Of particular interest are the development of numerical algorithms for constructing adaptive local basis functions suitable for discretizing the Kohn-Sham problem, the development of efficient dimension reduction algorithms for coupled-cluster calculations, and other numerical linear algebra problems that arise in the solution of the quantum many-body problem. The research activities will include the analysis of the performance profile and algorithmic complexity of existing computational approaches; the improvement of the efficiency and reliability of existing algorithms; and the development of novel computational algorithms on high performance computers for quantum chemistry and materials science. For more information and to apply, please visit