Photo Courtesy midlife-opportunity.com

The end of the semester is upon us, and for many that means the job search has begun. Below you’ll find a list of local job opportunities for computer savvy graduates. Hopefully you’ll find something that sparks your interest. If not, don’t forget to check back regularly for updates.

Key Tech
What they do: Develops high-tech products with a focus on medical, industrial, and consumer devices.
Positions: Firmware/ Software Designer, Circuit Board Designer
Location: Baltimore, MD
Apply

CyberPoint
What they do: provides cybersecurity products and services.
Positions: Senior Systems Engineer, Senior Software Developer, Software Developer, Reverse Engineer
Location: Inner Harbor, Baltimore
Apply

Agnik
What they do: a data analytics company for distributed, mobile, and embedded environments.
Position: Software Developer I/II – Intern
Location: Columbia, MD
Apply

Agora, Inc.
What they do: A holding company for various publishers of financial, health, travel and special interest books, and newsletters.
Position: Software Engineers
Location: Mt. Vernon, Baltimore
Apply

*Jobs posted May 15.

Parking Panda
What they do: A rapidly expanding startup that thought up a creative solution for scarce parking in Baltimore and D.C.: A web-based app that lets you rent out your personal parking pad.
Position: Front End Engineer
Location: Federal Hill, Baltimore
Apply

The Hilltop Institute
What they do: Located in UMBC’s Sondheim building, The Hilltop Institute is a health research organization that conducts research, analysis, and evaluations on behalf of government agencies, foundations, and nonprofit organizations at the national, state, and local levels.
Position: Web Developer/ Programmer
Location: UMBC
Apply

OptiMetrics, Inc.
What they do: A company that provides research and engineering services to government and industry, specifically applying science and technology to protect soldiers on the battlefield.
Positions: Mid-Level Software Engineers, Software Engineer
Location: Abingdon, MD
Apply

Information Management Services, Inc.
What they do: A biomedical computing firm.
Position: Software Developer
Location: Silver Spring, MD
Apply

Praxis Engineering
What they do: A consulting, products, and solutions firm dedicated to the practical application of software and system engineering technologies to solve complex problems.
Positions: Software Engineer, Reverse Software Engineer, Application Developer, and more
Location: Aberdeen, MD, Annapolis Junction, MD
Apply

*Jobs posted May 7.

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MS Thesis Defense

Numerical Integration Techniques for Volume Rendering

Preeti Bindu

10:00am Monday, 7 May 2012, ITE 352, UMBC

Medical image visualization often relies on 3D volume rendering. To enable interaction with 3D rendering of medical scans, improvements in the performance of Volume Rendering Algorithms need significant attention. Real-time visualization of 3D image data set is one of the key tasks of Augmented Reality Systems required by many medical imaging applications. Over past five years the development of the Graphics Processing Unit (GPU) has proved beneficial when it comes to Real Time Volume Rendering. We propose a GPU based volume rendering system for medical images using adaptive integration to improve performance. Our system is able to read and render DICOM images, implementing adaptive integration techniques that increase frame rate for volume rendering with the same quality of output images.

Committee: Dr. Marc Olano (advisor), Dr. Penny Rheingans and Dr. Samir Chettri

Congratulations to the three winners of the poster competition at the Computer Science and Electrical Engineering Department's annual Research Review, which took place in the UMBC Technology Center's business incubator and accelerator building last Friday. Winners were chosen by UMBC faculty who scored their top five choices with [-9, +9] range voting.

1st place (26 points): 
Varish Mulwad (CS, Ph.D.) "A Probabilistic Model for Generating Linked Data from Tables"
Advisor: Tim Finin

Vast amount of information is encoded in tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning and making it explicit in a semantic representation language like RDF. Most current approaches to generating Semantic Web representations from tables requires human input to create schemas and often results in graphs that do not follow best practices for linked data. Evidence for a table's meaning can be found in its column headers, cell values, implicit relations between columns, caption and surrounding text but also requires general and domain-specific background knowledge. Approaches that work well for one domain, may not necessarily work well for others. We describe a domain independent framework for interpreting the intended meaning of tables and representing it as Linked Data. At the core of the framework are techniques grounded in graphical models and probabilistic reasoning to infer meaning associated with a table. Using background knowledge from resources in the Linked Open Data cloud, we jointly infer the semantics of column headers, table cell values (e.g., strings and numbers) and relations between columns and represent the inferred meaning as graph of RDF triples. A table's meaning is thus captured by mapping columns to classes in an appropriate ontology, linking cell values to literal constants, implied measurements, or entities in the linked data cloud (existing or new) and discovering or and identifying relations between columns.

2nd place (18 points): 
Richard Van Tassel  (CS, M.S.)  "Visual Obstruction Resistance for Emotion Detection"
Advisor: Marie desJardins

There is an increasing interest in developing systems that can determine a user's emotion by analyzing a video feed of the user's face. However, it cannot always be assumed that the user's face will be completely unobstructed by facial hair or apparel. If the system is a recreational or consumer good, it could be considered too restrictive to require a perfect view of the face at all times. Obstructions can prevent the system from identifying all of the facial expression components, called action units, present in the input face. It is therefore important that such emotion detection systems are capable of coping with partially obstructed faces. I propose a technique for reducing the effect of face obstructions. The technique will learn association rules between sets of action units from a set of unobstructed faces. Then, for a given input obstructed face, the technique will infer what action units are likely to be obstructed based on the visible ones, and will use this hypothetical set of action units to infer the emotion. This technique is tested on real face data, with simulated face obstructions. It will provide a statistically significant improvement in emotion detection accuracy over the same process without the technique applied.

3rd place (16 points): 
Patricia Ordonez (CS, Ph.D) (pictured) "Multivariate Time Series Analysis of Physiological and Clinical Data"
Advisor: Marie desJardins, Tim Oates

The complexity and volume of collected medical data is greater now than at any point in the history of medicine. Providers are expected to examine large volumes of data and identify correlations between parameters based on their own clinical experience to detect significant medical events. The information overload that providers face may hinder the diagnostic process. Existing visualizations to assist the provider in analyzing information consist mainly of tables or plots of values for a particular parameter over time. Multivariate Time Series Amalgams (MTSAs) provide an integrated, multivariate approach to represent clinical and physiological data. The hybrid representation automates the personalization of baselines and threshold values based on a patient’s medical history, while also incorporating traditional baselines and thresholds. MTSA visualizations capture the rate of change of provider-selected parameters and the relationships among them.

The second half of my research consists of developing automated techniques for discovering correlations among parameters over time to assist providers in making a diagnosis. The underlying premise of my research is that the complexity of a highly integrated system such as a human being is better captured by examining patterns as multivariate temporal abstractions as opposed to conjunctions of univariate ones — the more common approach for multivariate time series analysis and in medicine. The objective of such an approach is to assist in the identification of latent patterns within the data associated with specific medical conditions or significant medical events. Thus, in addition to the MTSA visualizations, I will present two novel multivariate time series representations, Stacked Bags-of-Patterns and Multivariate Bag-of-Patterns, which have been effective at classifying medical data. These representations are more compact than the raw multivariate time series and would facilitate the retrieval of patients from large medical databases based on physiological similarity and ideally on the presence of similar medically significant events or medical conditions. These techniques been compared to two other multivariate versions of univariate time series representations, Piecewise Dynamic Time Warping and Ensemble Voting using Bag-of-Patterns. Results demonstrate the potential of using these representations for multivariate time series analysis.

About Yahoo!

Yahoo is the premier digital media company. We deliver your world, your way by creating deeply personal digital experiences that keep more than half a billion people connected to what matters the most- across devices and around the globe. And it`s the Yahoos behind the scenes who make this possible. We are energetic, idea-driven people whoa are passionate about shaping the future of the digital world. So if this sounds like you, come show us what you`ve got.

The Yahoo! News politics desk intern is a hands-on journalism internship based in our D.C. bureau. You will be involved in the daily workings of putting together the world's most-read news site. The ideal candidate is a digital savvy newshound who is willing to work on all aspects of putting our political coverage together. It's an especially exciting role during this election year--and the right candidate will leave prepared to land a great job at any news organization. 

Responsibilities:

--Write for The Ticket

--Research articles and topics for Yahoo! News reporters

--Post to Y! News social media accounts

--Various editorial publishing tasks as needed

Basic/Minimum Job Qualifications:

We are looking for students for this position. 

--Must have previous blogging experience and working knowledge of the social web

--Should passionately follow politics

--Detail-oriented and willing to work on a range of tasks need to get Y! News stories up

--Must be HTML literate and comfortable with web publishing standards

--Enjoy working in a fast-paced, newsroom environment

Yahoo! Inc. is an equal opportunity employer.

APPLY AT:

https://tas-yahoo.taleo.net/careersection/yahoo_global_cs/jobdetail.ftl?job=1243738

Under Armour is the chosen brand of this generation of athletes... and the athletes of tomorrow. We're about performance - in training and on game day, in blistering heat and bitter cold. Whatever the conditions, whatever the sport, Under Armour delivers the advantage athletes have come to demand.

That demand has created an environment of growth. An environment where building a great team is vital. An environment where doing whatever it takes is the baseline and going above and beyond to protect the Brand is commonplace.

The world's hungriest athletes live by a code, a pledge to themselves and everyone else: Protect This House... I Will.  Our goal is to Build A Great Team!  Will YOU…Protect This House?!

Under Armour Archives Intern

INTERESTED?  APPLY by CLICKING HERE

This is a PAID Full-time Summer Internship that turns Part-time during the Academic Year.  This position pays $12 per hour.

What you’ll do as our Under Armour Archives Intern:
 
•Research companies who have existing archives
•Collect materials for the collection
•Research potential information and archive tracking systems
•Research, update, and maintain Under Armour’s Archive management software, the UA Vault
•Collect, organize, and catalog all Under Armour archive items into the UA Vault for future locating of these items for use both internally and externally
•Partner with the Brand Team to develop a written history of Under Armour from 1996 through its’ present and into its’ future using all available resources to make sure all information is factual and supported
•Preserve all archive items (written, digital, fabric, prototype, sample, etc.) with proper equipment and safety regulations in keeping the Brand’s history safe and secure at all times
•Identify executives and senior leaders that are longstanding teammates in the company to support the UA Archive initiative and champion the retrieval of the items and the information to work for the greater good of telling the Under Armour story
•Develop a centralized company & brand history capturing our company’s history since its’ beginnings in 1996
•Coordinate archive and museum space for use both internally and externally, constantly identifying best practices and new exhibits for museum to stay on-top-of its’ game in the area of corporate archive spaces
•Continue to identify best in class companies with both corporate archives and museums to share research, design, exhibits, best practices, and continue to learn what is important in archiving our company’s history and what the latest and greatest technology in doing so is, so Under Armour stays ahead of the game
•Coordinate all museum activities and rotating exhibits capturing all departments and big events on Campus and globally
•Assists in Campus events, Teammate activities, and hospitality events across the Campus and supports the needs of the Campus Events and Hospitality Team where and when needed
•Coordinate all hospitality events when needed and as directed to ensure Under Armour is a unrivaled experience for all guests

What UA is looking for in the Under Armour Archives Intern:

•Completed one or more academic years at a university or college with related degree; i.e. museum studies
•Previous internship or work related experience in a similar environment
•Exceptional written and oral communication skills
•Participation and Leadership with campus organizations, clubs, athletics teams, groups is a plus
•Strong organizational skills with an attention to detail
•High level of proficiency in MS Word, Excel, and PowerPoint
•Excellent interpersonal skills
•Exhibit knowledge and know-how of library and cataloging systems and research experience with long term projects.
•Display familiarity with managing and formulating unique spatial capacities and capabilities and be able to coordinate the needs of a large and diverse group.
•Detail oriented, extremely organized, and able to manage large volumes of diverse items and information at once.
•Sharp problem-solving and logical reasoning skills as well as the ability to create complex yet easily accessible organizational structures.
•An ideal candidate is trustworthy and able to handle sensitive and confidential information.

• Backup Administrator
• Change Management
• IT Systems Technician
• IT / Enterprise Resource Planning (ERP)

MS Thesis Defense

A Modular, Power-Intelligent Wireless Sensor Node Architecture

David Riley

10:30am Monday, 7 May 2012, ITE 346

The current state of the art in wireless sensor nodes, both in academia and the commercial world, is a fractured landscape of designs which mostly address individual problems. The most common commercial design derives directly from a mote developed at the University of California, Berkeley around 1999, and presents only moderate, incremental improvements over the original design. No designs yet present a comprehensive, intelligent design befitting a modern system.

By using dynamic power management, deep system configurability, autonomous peripheral modules, and multiple CPU architectures, this thesis presents a flexible and efficient node architecture. Modules in a system communicate between each other to coordinate their activities and power levels. Special attention is given to power sourcing and distribution. Individual peripheral boards supply their own drivers to the CPU using architecture-independent code. The platform may be configured to work with most networks, sensor types and power sources due to its improved connectivity and hierarchical design.

The resulting Configurable Sensor Node (CoSeN) architecture is competitive with existing designs on price, size and power while greatly exceeding most of them on performance, configurability and application potential. The CoSeN architecture is validated through a prototype implementation.

Committee: Professors Mohammed Younis, Tim Oates and Gymama Slaughter