From UMBC's Women Involved in Learning and Leadership

There is an AMAZING opportunity to attend a leadership conference specifically designed for dynamic college women with incredible skill-building workshops, empowering speakers, a graduate school fair

 http://www.nccwsl.org/students/graduate-school-fair/

and networking opportunities!

The National Conference for College Women Student Leaders

 (NCCWSL <http://www.nccwsl.org/>) is that opportunity. 

Deadline to apply for a full scholarship : March 15th

Apply at : https://svc.aauw.org/nccwsl/reg/index.cfm

Full Scholarship Covers: Housing, Food, and Registration Fees

When registering : Select the "NCCWSL National Scholarship" option. 

You will be sent further instructions for the remaining part of the scholarship application via email.

Empowering speakers, the ability to share real-life experiences, and learning opportunities around the country. The deadline is fast approaching; don't let this wonderful opportunity pass. Apply soon!

From: Jan Neumann <Sorry, you need javascript to view this email address. >
    Date: Wed, Feb 20, 2013 at 4:59 PM
    Subject: 2-3 summer intern positions - Comcast Research Washington, DC
    To: Sorry, you need javascript to view this email address.  
    
    Are you interested in Large-scale Machine Learning? Information
    Retrieval? Working with truly Big Usage Data? Do you currently do
    research in at least one or more of the following areas – Big Data
    Processing, Recommendation Systems, Social Media, Computer Vision,
    Information Retrieval or NLP? Do you want to conduct industry-leading
    research in audio/video information retrieval and content discovery
    technologies, and help millions of households discover video and music
    content on their TV, PC, Phone, and Mobile devices?
    
    Comcast's Washington DC research lab is looking to fill 2-3 graduate
    student intern positions for this summer (minimum of 12 weeks, May
    through September) . Projects can focus on using Social Networks for
    Recommendations and Click-through Prediction, NLP for Voice-based
    Interfaces, and/or Video Search/Segmentation of premium video.
    
    We are an innovative research group within Comcast's Metadata
    Processing and Search Services unit that does groundbreaking research
    to develop the video and TV search & discovery technologies that
    support Comcast’s approximately 40 Million subscriber units. Comcast
    is the largest provider of TV and Broadband Services in North America,
    the largest provider of TV search and discovery applications in North
    America, & the 6th largest provider of search on the web.
    
    The ideal applicant will be currently enrolled in a university PhD
    program and has 2+ years of research experience in one of the relevant
    areas. Applicants should also have good programming and software
    development skills, and be comfortable working in an
    interdisciplinary, team-oriented, applied research environment.
    
    Internships will be on-site in our Washington, DC office. We feature
    an informal, open atmosphere, and a location in downtown Washington
    convenient to several public transit lines and many of the city's
    museums, monuments, and other attractions.  The salary is competitive
    and commensurate with experience.
    
    To apply, please send a CV or resume, along with a brief statement
    explaining why you are interested in the position, to
    Sorry, you need javascript to view this email address.   While there is no fixed deadline for
    applying, we anticipate filling these positions by the end of April.
    
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From: Shengbo Guo <Sorry, you need javascript to view this email address. >
    Date: Wed, Feb 20, 2013 at 2:07 PM
    Subject: Research Internship for Machine Learning and its Application in
    Recommender Systems at Samsung Media Solution Center America
    
    Samsung Media Solution Center America (MSCA) in San Jose, USA is
    looking for a motivated research intern in the area of machine
    learning and its application in recommender systems. This intern
    position is located in San Jose, and it is between 3 and 6 months. The
    responsibility of the intern is on (1) analyzing the rich mobile data,
    (2) developing/implementing machine learning algorithms, and (3)
    applying these algorithms to personalize services for users of smart
    phones and smart TVs. More specifically, the intern will be working on
    developing learning algorithms, matrix/tensor factorization, topic
    modeling, and recommender systems. Detailed responsibilities include:
    
      * Develop novel machine learning algorithms for personalizing
        services (e.g., recommendations of music, video, social media) in
        the mobile context (e.g., smart phone users).
      * Implement these algorithms and the state-of-the-art methods
        efficiently.
      * Document the work for scientific publication and patenting.
    
    Requirements:
    
      * PhD-level education in Computer Science, particularly in machine
        learning, recommender systems, or social computing.
      * Strong background in machine learning, particularly in
        probabilistic graphical models, matrix/tensor factorization, topic
        modeling, and recommender systems.
      * Strong implementation skills in C++/Java.
    
    Application and deadline:
    
    Please email your CV to Sorry, you need javascript to view this email address.  and
    Sorry, you need javascript to view this email address.  and mention Research Internship for the
    subject of the email. Applications will be considered until the
    position is filled.
    
    -- 
    Shengbo Guo, PhD.
    Research Scientist, Media Solution Center America
    Samsung Information Systems America
    2665 North 1st Street, 3F Suite 300, San Jose 95134, USA
    Tel: (408)944-5140
    Fax: (408)944-5214
    E-mail: Sorry, you need javascript to view this email address.  
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UMBC CSEE Colloquium

Integration of HBase and Lucene for real-time big data analysis

Yin Huang
CSEE Department, UMBC

1:00 pm Friday, 22 February 22 2013, ITE 227, UMBC

The increasing size of data sets have posed several challenges on real-time big data analysis, Business Intelligence for example, in terms of system scalability and data availability. Business Intelligence focuses on mining the big data, providing multidimensional visualization and thus supporting business decision making, ideally in a real-time fashion. Traditional relational database management systems fail to provide a flexible and stable solution. Several NoSQL database systems have been proposed to tackle these challenges, such as Cassandra and HBase. HBase, however, does not support full-text searching; current implementation of HBase only offers the row-key based indexing. In this talk, we introduce building Lucene index on top of HBase to support multidimensional queries for data mart under MapReduce framework, serving as the corner stone for future data analysis and business report.

Yin Huang obtained his B.S. in Computer Science from Nanchang University in 2009, and studied in Chongqing University for two years for his M.S. He started his Ph.D. program in Computer Science at the University of Maryland, Baltimore County in 2011. In 2012, he interned in IBM Ottawa lab for four months with the focus of using Multicore-Enhanced Hadoop System for Buisness Intelligence. His current research area is database, data mining, and parallel computing.

Jewish Museum of Maryland 2013 Summer Internships

JMM ARCHIVES INTERN

The Jewish Museum of Maryland seeks a qualified intern to assist in the museum archives. The Archives Intern will be responsible for cataloging archival documents, processing manuscript collections, and assisting with the triennial archives inventory.  Processing collections involves organizing archival collections and writing documents that help researchers locate materials within the collection.  Duties may also include digitizing parts of archival collections as well as research.

Interested students should be working toward a degree in history, art history, material culture, Jewish studies, museum studies, or library science. Previous museum or library experience is not required. This internship is full time for ten weeks and includes a modest stipend.

COLLECTIONS INTERN

The Jewish Museum of Maryland seeks a qualified intern to assist in the Collections Department to work on general collections management projects. Tasks include, but are not limited to: cataloging new donations and loans, collections inventory, object photography, data entry, digitizing photographic collections, artifact handling, and indexing and/or transcribing oral histories.

Interested students should be working toward a degree in museum studies, archival science, history, art history, material culture, or Jewish studies. Previous museum experience not required. Attention to detail required. This internship is full time for ten weeks and includes a modest stipend.

EDUCATION AND PROGRAM INTERN

Responsibilities include: leading tours for school and adult groups (training to be provided); developing special programs for schools and teacher training workshops; assisting with preparation for public and family programs; and providing marketing assistance.

Time expectation: 30 hours per week

College undergrad or grad preferred.

Please send resume, cover letter and availability to the following:

EXHIITION RESEARCH INTERN

The Jewish Museum of Maryland seeks a qualified intern to assist in research for upcoming Jews, Health, and Healing exhibition, projected to open at the JMM in spring 2015. Tasks include, but are not limited to: research in JMM archival holdings, oral history transcription, assisting in collection of materials from community members.

Interested students should be working toward a degree in history, medical history, museum studies, or curatorial studies. Experience and/or interest in conducting oral histories a plus, but previous museum or gallery experience is not required. Internship will run 10 weeks and includes a modest stipend. This internship can be used for academic credit.

Please send a cover letter, dates of availability, resume, and list of three references to Karen Falk Curator, Jewish Museum of Maryland, 15 Lloyd Street, Baltimore MD 21202 or to kfalk@jewishmuseummd.org. Please include “Exhibition Intern” in your subject line. Applications reviewed as received.

PHOTO ARCHIVE INTERN

The Jewish Museum of Maryland seeks qualified candidates for an interdisciplinary internship. Photo archive interns will be responsible for processing, cataloging and digitizing the JMM photograph collection as well as assisting with image research for a variety of publications and exhibitions. 

Interested students should be working toward a degree in history, art history, material culture, Jewish studies, museum studies, library science, or photography. Previous museum or library experience is not required. This internship is full time for ten weeks and includes a modest stipend.

URBAN ARCHAEOLOGY INTERN

The Jewish Museum of Maryland seeks a qualified intern to assist in the Collections Department to work on the Lloyd Street Synagogue and urban archaeology collection. Tasks include, but are not limited to: artifact handling, cataloguing archaeology specimens, reconciling object numbers, assisting in LSS collections inventory, object photography, and data entry.

Interested students should be working toward a degree in museum studies, archaeology, history, art history, material culture, or Jewish studies. Attention to detail required. Experience with numbering systems is preferred. Experience with object photography preferred. This internship is full time for ten weeks and includes a modest stipend.

The following full-time positions have been posted within the past week to UMBCworks. Login to your account (via the link in the Jobs & Internships topic in myUMBC) and find details and application instructions as well as hundreds of other job postings! 

9256535 - PSC Representative - T. Rowe Price
9256500 - Embedded Software Engineer - iVeia, LLC
9256477 - IT Specialist - Johns Hopkins University Amstrong Institute for PatientSafety
9256414 - Computer Technician - D. Miller Associates