Both the Washington Post and New York Times report that the Pentagon has approved a five-fold expansion of the US DoD Cyber Command (USCYBERCOM) over the next several years to enhance its ability to defend critical computer systems and conduct offensive computer operations against foreign adversaries.

The expansion is in response to concerns about threats of potential attacks by "malicious actors" on US computer infrastructure, networks, computer systems. The Post article says that

"The gravity of that threat … has been highlighted by a string of sabotage attacks, including one in which a virus was used to wipe data a from more than 30,000 computers at a Saudi Arabian state oil company last summer."

The Cyber Command will have three different forces: national mission forces to protect computer systems that support the nation’s critical infrastructures, such as the electrical power grid, combat mission forces to plan and execute attacks on adversaries and cyber protection forces to secure DoD networks and computer systems.

The current Cyber command comprises about 900 personnel and is expected to grow to include 4,900 troops and civilians.

Duration/Hours per week

·         12 weeks

·         1 full-time intern: 40 hours per week  OR  

·         2 part-time interns: 20 hours per week

Compensation

$15 – $20 per hour (based on experience)

Duties:

·         Identify the current literature in English language arts (reading and writing), math, and study skills that can be used to update the current research validation reports to include most recent relevant developments in technology, teaching, and learning.

Suggested Research Topics

Language Arts

Mathematics

·         After a briefing by Sylvan’s Mathematics Program Director on current instructional technology project, develop a research review that supports the use of specific technologies/technology supported strategies in the teaching of supplemental mathematics. In particular we are interested in understanding:

·         Work with the program manager for mathematics to demonstrate how the research findings are relevant to Sylvan’s programs.

Study Skills

·         After a briefing by the Sylvan’s Study Skills Program Manager on the current instructional technology project, develop a research review that supports the use of specific technologies and technology supported strategies in teaching supplemental study skills. In particular we are interested in understanding:

·         Work with the program manager for study skills to demonstrate how the research findings are relevant to Sylvan’s programs.

APPLY VIA UMBCworks today via position 9255970
Don't have an approved resume on UMBCworks, call the Shriver Center at 410-455-2493 for an appointment.
Directions on how to add your resume on UMBCworks can be found at: 
http://www.shrivercenter.org/students/internco-opresearch/how-do-i-get-started/

Duration/Hours per week- 8 weeks, 20 hours per week

Compensation - $10 – $15 per hour

Qualifications

·         Computer Science or Information Science Major

·         Onsite work at Sylvan HQ

·         Network engineering (if available)

Duties:

·          QC tester – help in the execution of test scripts for soon-to-be-release software products under the direction of QC management

·         Desktop Support – help in the support of corporate machines for corporate employees and introduction to engineering duties

Both of these potential roles will allow the intern to observe how the software development lifecycle and support for a technology-enabled company works in the real world.

If interested in this research internship (unpaid), please apply via UMBCworks position 9255973

Maryland and Baltimore are top places for cybersecurity jobs according to the Cyber Jobs Report released earlier in January. The report includes a snapshot of the industry, its job openings and educational opportunities, and a proposed standardized cyber security nomenclature for this emerging industry.

The study searched approximately 340,000 cybersecurity jobs offered by more than 18,000 companies across the country and found that Maryland had 19,413 job openings in the industry. With more than 13,000 of these job openings located in Baltimore City, the city placed third among major cyber hot beds, behind only Palo Alto and San Francisco in the number of available cybersecurity positions.

Legg Mason in downtown Baltimore JUST POSTED an internship that is PAIDto work part-time this spring and full-time this summer

If interested, please apply via UMBCworks ASAP- position 9255889
APPLY TODAY via UMBCworks!

Don't have an approved resume on UMBCworks, call the Shriver Center at 410-455-2493 for an appointment.
Directions on how to add your resume on UMBCworks can be found at: 
http://www.shrivercenter.org/students/internco-opresearch/how-do-i-get-started/

Questions, contact Christine Routzahn at The Shriver Center at routzahn@umbc.edu

As a leading global asset management firm, Legg Mason offers rewarding career opportunities for individuals who share our passion for investing, and our commitment to putting clients first in everything we do. Whether you have industry experience and are seeking new challenges or are just beginning your career, we invite you to explore the many advantages of joining our global team.

With a presence in every major financial center across the globe, we are always looking for exceptional professionals who want to shape a rewarding career through intellectual curiosity, leadership and collaboration. If you're passionate about the investment business and about building your future with one of the industry's premier firms, consider the many opportunities at Legg Mason today.

Our Human Resources Team is currently seeking a part-time, paid spring Intern. This position is based in our World Headquarters in Baltimore, MD.

• Coordinate two newly launched leadership training programs while developing tools and processes
• Create survey tools and administer and analyze results
• Recommend and coordinate supplemental curriculum process
• Compile and analyze training data
• Participate in the process of selecting talent for the class of 2014
• Final deliverable is a summary document of suggested changes/enhancements to the programs for 2014
• Other duties as assigned

Ideal Qualifications and Experience:

·         Junior, Senior, or Grad Student majoring in Human Resources or Organizational Development (OD)

·         Highly organized and professional

·         Excellent computer skills with MS Office proficiency

·         Superior verbal and written communication skills

·         Must be able to commute to the Downtown Baltimore office several times per week

International Organization of Masters, Mates & Pilots in Linthicum, Maryland 

Letting the data speak — from blind to semi-blind source separation

Dr. Ronald Phlypo
Research Associate, MLSP lab, UMBC

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

Blind source separation has known a vivid and rapid expansion during the nineties. Alleviating the need for prior physical knowledge—such as the geometry of the antenna array—allowed for data-driven exploration of the data, based on the sole, but natural assumption of independence. In this talk, I will focus on blind source separation, with specific applications in biomedical signal processing. Since independence allows to have an identifiable model under very few assumptions on the data, it is indeed widely praised as a candidate objective for source separation. However, it will be shown that independence alone is not always sufficient to permit for a physically or physiologically interpretable signal. During this talk, I will show some proposed solutions that add minimal extra assumptions on the data, allowing to identify physiological "sources" from electroencephalography, electrocardiography, and functional magnetic resonance imaging. I will also shortly demonstrate why the linear mixture model is indeed an appropriate model for these biophysical signals.

Ronald Phlypo obtained a degree in industrial engineering at the KHBO, Ostend, Belgium ('03) and a master in artificial intelligence at the KULeuven, Leuven, Belgium ('04) where he completed his master's thesis under the supervision of prof. S. Van Huffel. While pursuing his PhD degree at the University of Ghent, Ghent, Belgium, he visited the I3S lab and worked with P. Comon, M. Antonini and V. Zarzoso. From Jan'10 to Feb.'12 he was a research associate at GIPSA lab, Grenoble, France and since April'12 a research associate at the UMBC -MLSP lab, Baltimore, USA. His research interests are in blind source separation, statistical signal processing, and machine learning.