San Diego Supercomputer Center High School Volunteer Summer 2011
Internship Opportunities
For the second year, SDSC launches an exciting volunteer internship
program for high school students entitled Research Experience for High
School Students (REHS). As part of this program, students will be paired
with an SDSC mentor and will work as part of a research team dedicated
to a particular area of computational research.
Please review the research opportunities listed below and submit a
separate application for each opportunity that may interest you.
Students may apply for up to three opportunities. All applications must
be submitted via US Mail no later than April 6, 2011.
Please note that students applying for this opportunity must be 16 years
of age on or before June 26, 2011 per UCSD volunteer and employee
requirements.
San Diego Supercomputer Center, UC San Diego
June 27- August 12, 2011 (seven weeks). Internship hours will be
coordinated with your mentor and can range from 10 to 25 hours per week.
High School Volunteer Summer Research Opportunities
Project Title: Generation of multimedia scientific educational content
in PDF documents
Project Overview
The Protein Data Bank (PDB) archive contains information about
experimentally-determined structures of proteins, nucleic acids, and
complex assemblies, and is a foremost data and information resource for
the scientific community. Part of the PDB's remit is to provide
K12-appropriate educational materials regarding our data repository and
molecular structure determination. To this end, we would like to develop
advanced multimedia content covering several important and
representative PDB entries. PDF format documents are capable of
containing both textual and multimedia content, such as images, movies
and interactive 3D objects. In collaboration with the PDB mentor, the
student will be involved in selecting representative PDB entries,
generating multimedia content using desktop computer software such as
Jmol and MeshLab, and then embedding this content into a PDF file. The
student will gain experience in advanced PDF file creation using Adobe
Acrobat, generating multimedia content using the Jmol application and
other open source applications.
Internship Hours Per Week: Flexible up to 25 hours
Project Title: StudentTECH Portal Facilitation and Analysis
Project Overview
The SDSC StudentTECH Program is a new program of workshops, seminars,
and outreach events intended to make science and technology fun and easy
for students of all ages. To help facilitate and nurture an
every-growing community of actively-engaged learners we are creating the
StudentTECH Portal. Developed with the Joomla content management system,
the StudentTECH portal will serve as a central repository for active
learning tools, resources, news, and events. Since, by definition, the
REHS Student Intern will be a model of the prototypical portal user,
they will serve in a central role providing insights and feedback on all
things of current interest to STEM learners. The REHS Student Intern
will be introduced to all aspects of the StudentTECH Community Portal,
including administration, maintenance, design, development, and
upgrading. A survey of student interest in specific areas of science,
technology, engineering, and math will be administered with the
assistance of the intern to provide additional important feedback for
SDSC StudentTECH workshops and seminars. A database of reference
material will be assembled with the intern’s assistance as well. The
student will also have the opportunity to help with development and
evaluation of interactive educational models and simulations. Internship Hours Per Week: Flexible up to 25 hours
Project Title: Refinement of Data Mining Software and Application to
Space Plasmas for Data Analysis and Visualization
Project Overview
The overall summer student research project will include implementation
of a novel data mining algorithm within an existing machine learning
environment, testing of the tool, and the application of the simple data
analysis and visualization techniques to the space plasmas data. The
student will gain a valuable research experience in learning about data
mining, data preparation, visualization and modeling in the space
sciences data, as well as preparation, visualization and modeling of
general scientific data. Furthermore, the student will have the ability
to gain extensive experience and perfect his/hers JAVA implementation
skills ranging from the planning stage to the coding and testing stages.
Major activities will include (a) porting of MineTool, a novel data
mining method, into weka and (b) implementation and evaluation of use of
GPUs in data mining. Some of the subtasks will include adding a filter
for variable expansion and a filter for conversion of time series data
into static data to the preprocessing tab in weka, as well as
implementing the MineTool algorithm in the Classify tab as a data mining
method. Furthermore, the activities will include extensive testing of
the newly added data mining method.
Internship Hours Per Week: 25 hours
Project Title: iDASH: integrating Data for analysis, Anonymization, and
SHaring
Project Overview
The iDASH project will create a national center for biomedical computing
that develops new algorithms, open-source tools, and computational
infrastructure and services that enable biomedical and behavioral
researchers to integrate Data for analysis, Anonymization, and Sharing.
A multitude of research questions exist that cannot be addressed
adequately by viewing data from a single healthcare institution, and
concerns about privacy when sharing data add a significant barrier to
research progress. iDASH will address this fundamental challenge by
providing a secure, privacy-preserving environment in which researchers
can analyze genomic, transcriptomic, and highly annotated phenotypic
data. iDASH will focus on privacy protection through anonymization, data
simulation, and an informed consent management system. It will
concentrate on data analysis through the development of new tools for
data annotation and integration across temporal and spatial dimensions
and develop algorithms for rare event detection and risk adjustment.
This project is a starting point for the development of new tools that
will advance three biologically-based projects which span the
molecular-individual-population spectrum: (1) molecular phenotyping of
Kawasaki Disease, (2) surveillance of anticoagulation agents, and (3)
individualized intervention to enhance physical activity. Students will
be involved in the design and implementation of a mechanism that allows
participating centers to submit data anonymously. Students will help
devise a cryptographic protocol where participating centers form a cloud
to which queries can be submitted and from where results can be
obtained.
Internship Hours Per Week: 20 hours
Project Title: SCAlable National Network for Effectiveness Research
(SCANNER)
Project Overview
The SCANNER project will develop a distributed network infrastructure
for comparative effectiveness research that provides participating sites
the means for flexibility in data sharing. This flexibility will be
implemented by allowing codification of data sharing policies, where
each institution will specify its own policies. SCANNER will connect
diverse healthcare delivery settings with secure infrastructure that
utilizes data collected at the point of care. Policies for data sharing
will range from sharing of de-identified records to sharing aggregate
results. The network will have a main node that manages policies,
distributes queries, aggregates results, and maintains trust and
security (authentication, authorization, auditing, etc). Each site will
maintain a node that contains data from that site. The network will
support retrospective analyses, prospective observational studies,
clinical trials, and feedback to point-of-care users. Near real-time
collection, analysis, and dissemination of results and feedback to the
clinician will be enabled by an infrastructure that allows data to be
exchanged according to policies specified by individuals and
institutions.
Internship Hours Per Week: 20 hours
Project Title: HPWREN – High Performance Wireless Research Education
Network – Smartphone Sensor Research Project
Project Overview
The High Performance Wireless Research and Education Network (HPWREN) is
interested in involving one or undergraduate students in applications
development for Smartphones (basically "wearable computers"). Of most
interest is the open Android platform (e.g., a Motorola Droid). Examples
are graphical displays of sensor data, such as from deployed
meteorological stations.
Internship Hours Per Week: 10- 15 hours
Project Title: User Behavior Study for Schedulers
Project Overview
Understanding the behavior of user base will allow the design of better
job schedulers. In previous studies, it has been shown that the user
behavior correlates best with the response time of their jobs. However
the decision was based on examining traces containing raw data on jobs
that were submitted to real, production-use parallel systems. We plan to
explore a different angle by using data mining tools to understand the
pattern behind user behavior. Work involved for the student may include
data gathering, working with data mining tools to analyze data and help
with the simulations. The student participant will also be mentioned in
any publication based on the outcome of the research. We encourage
students working in the field of computer science or engineering to
apply to work in this research.
Internship Hours Per Week: 10- 15 hours
Project Title: Provoke: Researching the use of shared databases on the
web for public recommendation and brainstorming systems
Project Overview
CREL's mission is to promote cross-over art-science research on
participatory media for education and entertainment
(http://crel.calit2.net). In conjunction with Calit2, CREL has developed
technologies for public participation in thematic environments, such as
performances and online videos and lectures. By combining semantic
database technologies with natural language processing and user
interaction design, CREL has been successful in creating a system where
users of the online event are presented with artificial intelligence
driven related information and are able to post questions and obtain
answers throughout the event. CREL's system, titled Provoke, emphasizes
natural modes of communication among users, or between users and content
creators, using tools such as micro-blogs or chats that take place in
parallel with a lecture. The system also incorporates other widgets such
a moderator driven polls, tag clouds, and image manipulation, to provoke
reactions in order to more thoroughly engage users.
Internship Hours Per Week: 10- 15 hours
Project Title: Narrative and Emotional Structure Discovery through
Machine Learning Applied to a Large Film and Television Script Database
Project Overview
Very large humanities data sets and high performance computing create
unique opportunities for multimedia data analytics. Film scripts are a
semi-formalized way of representing a story. Recently the importance of
story in organization communication and learning has been largely
celebrated and many methods are used to introduce more sophisticated
structures and additional information into traditional stories. Access
to temporal information raises the need to model and associate complex
information over time in a manner that is both intuitive, succinct to
visualization, and at the same time precise enough to capture structures
that are meaningful for a specific domain, genre, style, or expertise.
Moreover, contents originating in one medium—cinema, television, game,
online—film and drama series are increasingly migrated to another, with
audio and video clips being reused, remixed and recombined to create
alternative meanings. Analysis of narrative in text and media requires
establishing a web of inter-relations between multi-varied and mixed
numeric and symbolic data whose evolution need to be traced over time.
Promising direction in this respect is one of modeling semantics via
geometry and topology of information. The starting point is embedding
media objects, such as words in a scene of a film script or features in
a segment of video or audio stream, in a metric space.
Internship Hours Per Week: 10- 15 hours
Project Title: Renewable Energy / Microgrid System Analysis Project
Project Overview
UCSD is an owner-operator of a 45 MW peak load microgrid with multiple
renewable and non-renewable energy generation resources, significant
energy storage, and a sophisticated monitoring for controlling
flex-demand loads. UCSD seeks to elevate its Smart Grid to a level of
global excellence as a holistic, planned community that balances energy
infrastructure with that of biodiversity, transportation, water
efficiency, waste stream management, Green House Gas (GHG) reduction,
telecommunications, security and disaster preparedness. The fundamental
goal is to advance the understanding of the complex dynamics that drive
community-scale, end-use energy demand, and associated local and global
air emissions; to apply this knowledge to generate planning methods and
community design models and municipal processes enabling practitioners
to build energy-efficient, low- carbon development projects; and to
resolve market barriers and risks impeding integration of energy-
efficient technologies into development projects through
energy-development industry collaboration.
Internship Hours Per Week: 20 hours
Project Title: Developing an Informed Consent Ontology for the iDASH
(integrating Data for analysis, Anonymization, and SHaring) Project
Project Overview
The iDASH project will create a National Center for Biomedical Computing
that develops new algorithms, open-source tools, and computational
infrastructure and services that enable biomedical and behavioral
researchers to integrate Data for analysis, Anonymization, and Sharing.
A multitude of research questions exist that cannot be addressed
adequately by viewing data from a single healthcare institution, and
concerns about privacy when sharing data add a significant barrier to
research progress. iDASH will address this fundamental challenge by
providing a secure, privacy-preserving environment in which researchers
can analyze genomic, transcriptomic, and highly annotated phenotypic
data. iDASH will focus on privacy protection through anonymization, data
simulation, and an informed consent management system. It will
concentrate on data analysis through the development of new tools for
data annotation and integration across temporal and spatial dimensions
and develop algorithms for rare event detection and risk adjustment.
This project is a starting point for the development of new tools that
will advance three biologically-based projects which span the
molecular-individual-population spectrum: (1) molecular phenotyping of
Kawasaki Disease, (2) surveillance of anticoagulation agents, and (3)
individualized intervention to enhance physical activity.
Internship Hours Per Week: 20 hours
Project Title: New QM/MM Approaches for High Performance Molecular
Dynamics Simulations of Condensed Phase Biological Systems
Project Overview
This REHS opportunity is set up to be an integral part of our ongoing
effort to develop an extensible interface for mixed quantum
mechanical/molecular mechanical (QM/MM) molecular dynamics (MD)
simulations that combines the AMBER (http://www.ambermd.org) MD software
engine with quantum chemistry programs like ADF (http://www.scm.com),
GAMESS () and TeraChem
(http://www.petachem.com). The availability of such an interface
improves the accuracy and range of applicability of MD simulations that
are available to researchers that are using the AMBER MD software
package. This will support research into the reaction paths of condensed
phase enzymes having benefits across multiple fields including drug
design, protein engineering and biofuel research. The REHS intern will
contribute at various stages during the project including software
development, testing of the implementation and validation calculations
on local compute resources including GPU clusters, the Triton compute
resource (http://tritonresource.sdsc.edu/) and a variety of TeraGrid
(http://www.teragrid.org) supercomputing platforms.
Internship Hours Per Week: 10- 15 hours
Project Title: Exploring the Uncanny Valley
Project Overview
Artificial agents such as humanoid robots and animated 3D characters are
actively being developed for use in various domains such as
entertainment, retail, education, and healthcare. But how should
artificial agents be designed? It may seem like a good idea to make
artificial agents look as human-like as possible, especially if they
will be used in social settings. However, we soon encounter a phenomenon
called the "uncanny valley": As an agent's appearance is made more
human-like, people's reactions to it becomes more positive and
empathetic, until a point at which the increasing human-likeness leads
to the agent being considered repulsive, disturbing, or "zombie-like".
For example, many viewers found the film Polar Express creepy, whereas
Avatar received more positive evaluations.
Despite significant anecdotal evidence, there is little scientific data
to characterize the uncanny valley. In our lab we are exploring the
uncanny valley using various different methods such as perceptual
experiments, physiological recording (GSR, heart rate), and
neuroimaging.
Internship Hours Per Week: 15- 20 hours
3D Modeling Intern for the Drama in the Delta Game
Project Overview
This project seeks to recreate the segregated society and cultural
activities at two Japanese American internment camps during World War II
in an interactive gaming environment. The interdisciplinary research
will involve students from Computer Science, Communication and Theatre
and Dance. The study will develop the Jerome and Rohwer camp sites in
southeast Arkansas. This study would consist of game level and game play
design using Torque game engine as well as 3D modeling using Maya
software. The students will learn and apply game development and 3D
modeling in this project. The intern will create and modify 3D models
and avatars to be used in the game.
Internship Hours Per Week: 15 – 20 hours
Game Development Intern for the Drama in the Delta Game
Project Overview
This project seeks to recreate the segregated society and cultural
activities at two Japanese American internment camps during World War II
in an interactive gaming environment. The interdisciplinary research
will involve students from Computer Science, Communication and Theatre
and Dance. The study will develop the Jerome and Rohwer camp sites in
southeast Arkansas. This study would consist of game level and game play
design using Torque game engine as well as 3D modeling using Maya
software. The students will learn and apply game development and 3D
modeling in this project. The intern will work on developing a game in
coordination with a 3D modeler using the Torque 3d Game Engine.
Internship Hours Per Week: 15 – 20 hours
Video Editing for the Web Deployment of Scientific Visualizations
Project Overview
Visservices at SDSC produces high quality visualizations for various
projects around the nation. These visualizations are often delivered in
form of movies to the scientists and also used for education and
outreach purposes. This project will enable the student to engage in
transcoding of existing videos using modern codecs for web deployment.
Key aspect of this work will be to determine adequate video resolution,
codec choice and detailed configuration settings for use with scientific
visualization content.
Internship Hours Per Week: 15 – 20 hours
The Application Process - How to Apply
For detailed internship opportunity descriptions and to download an
application, please visit:
http://education.sdsc.edu/teachertech
Questions?
If you have any questions about the application process, please contact
Ange Mason, SDSC Education and Outreach, via phone at 858 534-5064 or
email at amason@ucsd.edu.
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