COLABORATORY Summer Internship Program

COLABORATORY is a very unique internship experience as each intern is given the chance to work with Portland area agencies as well as collaborate as a team for a client pitch

We're looking for talented collaborators with skills in:

• Writing
• Design
• Interactive
• Public Relations
• Account Management
• Video/Multimedia
• Strategy

About The Program:
COLABORATORY takes place over six weeks in Portland, Oregon. Eight participants will be selected and individually paired with three agencies based on their strengths and interests in the areas of account management, design, interactive, public relations, video/multimedia, and strategy. Interns spend two intensely focused weeks at each agency learning from all disciplines.

During the six weeks working at agencies across Portland, interns will also form two competing teams to develop a campaign pitch for a local client.

Timeline

• Application period 02/15/2011 — 04/21/2011
• Accepted Interns notified 05/02/2011
• Program duration 07/1/2011 — 08/17/2011

Details

• Housing is NOT provided, see housing information on website for suggestions
• You will be compensated for a 37.5 hr. week @ Oregon minimum wage
• You must bring your own laptop.

Applications are now available online at www.pafcolaboratory.com. 

Co-Op Opportunity with Great Pay

Programmer/ Software Engineer

Flexible hours - part time during school, full/part time in summer and semester breaks.

Local Company: Fairchild Semiconductor in West Jordan, UT

• We are looking for individuals with good programming skills and some experience with databases, SQL.
• Experience with HTML dynamic Web Design.
• Familiarity with ColdFusion a plus, but not required.
• Sophomore, junior, or senior continuing to graduate school.

Contact Howie Lam (801) 562-7759
Email: Hao.Lam@Fairchildsemi.com
Or Apply at www.fairchildsemi.com/careers

Full-Time Junior and Senior Level Video Game Programmers

Wahoo Studios, located in Orem, UT, is a growing video game company that develops independent titles and works with major software publishers. Under the NinjaBee label, we have been especially active creating Xbox Live Arcade titles, as well as Wii, PC and PS3 games. We are in need of both junior and senior level programmers to fill out a new video game project team.

Requirements:

1. Strong C/C++ programming ability
2. Must love to play video games
3. Excellent written and verbal communication skills
4. Strong interpersonal and teamwork skills

If you are interested, please send cover letter and resume to jobs@wahoo.com.

GUI Programmer Wanted

Needed Immediately: 

The National Center for Voice and Speech at the University of Utah needs a GUI Programmer.

Wage/Salary: 

Based on experience, No Benefits

Job Description: 

The candidate will be involved in creating a simple graphic user interface for a small USB device. The software communicating with the device has been completed. The GUI must be written in C++.

Upon completion of this task, we have other GUI's we will need as well but they could be done in the applicants language of choice.

Estimated hours per weeks: 

10-20 for several months. Full-time summer and future long-term employment is possible.

Qualifications: 

Proficient in C++. Other programming languages are a plus. A degree not necessary.

Application Instructions: 

Interested applicants should send a cover letter and resume to jobs@ncvs2.org, subject line: Programmer. The subject line as such is required. Otherwise your email may be filtered. For more information about the NCVS, go to http://www.ncvs.org/

2011 Discover Financial Services Business Technology (BT) Intern Program

If you’re in your Junior or Senior year, graduating after June 1^st  but before May 31^st 2012 and are seeking real-world challenges in a technology-rich environment, Discover Financial Services offers the perfect internship program for you!  Ranked in the Top 100 for eight consecutive year in IDG’s Computerworld “Best Places to Work” in IT, and recognized by InformationWeek 500 as a top innovative organization that effectively uses information technology to create measurable business results, you can be confident that an internship with Discover will provide you with a great foundation in knowledge and relationships to begin a successful career in IT.

Our 12-16 week paid summer internship is located at our Lake Park, Utah center where we will expose you to real business challenges.  You’ll be assigned to a team to solve a business problem, applying your classroom knowledge and programming background.

Each position is unique but all internship positions offer real world experience developing and supporting business solutions with technology.  Throughout our program, internship opportunities will focus on true development work as well as technical and business analysis.

You will also develop important relationships.  As our goal is to hire the majority of our interns as full-time Business Technology employees at graduation, we look for individuals who are prepared to live the Discover Values of Doing the Right Thing, Innovation, Simplicity, Collaboration, Volunteerism, Enthusiasm, and Respect.

Ideal Candidates for the Business Technology Internship Program:

We seek individuals in a Computer Science or similar curriculum and will complete their Junior year course study in June 2011. 

The ideal candidate would have both a technical and business mindset gained through class room and life experiences.

Knowledge of the following would be helpful in making the most of your internship

Platforms: Windows XP and UNIX

Databases: Oracle, DB2, My SQL

Programming languages/application software: Java, OO, Java Beans, JSP, JCL, SQL, HTML, Websphere and Eclipse. 

Principles: Object Oriented Design, Project Development Life Cycle and Database Design

HOW TO APPLY
Please click on the link below or copy it to your web browser and follow the prompts to formally apply.

http://www.mydiscovercareer.com/JobDescriptionDiscover.aspx?Identifier=34226

NSF Summer Program at Texas Tech

NSF Research Experiences for Undergraduates (REU) - SUMMER 2011

View Online: www.cs.ttu.edu/reu/11summer/project.php
Program Flier: www.cs.ttu.edu/~smohan/Papers/TTU_REU2011x.pdf

Research projects and three-year plan

Each project will begin with an in-depth study of the scientific concepts that underlie each project. Students will also have the opportunity to observe the more theoretical activities of their graduate mentors and to see the results of their work in the broader context of the research objectives. Each student will also be required to work with graduate students in publication activities on the results of their work.

1. Construction of a self-managed embedded software system using software specifications

This project is directed by Dr.M. Shin to construct a self-managed embedded system that is flexible to design faults or unanticipated events. Embedded software systems need to be more reliable against design faults or unanticipated events (referred to as anomalies) so that the systems become more resilient to system failures. Embedded software systems are getting more complicated because of the nature of those applications. In the components of embedded software systems, the ordering of events is often not predictable and the communication between components needs to be synchronized. In addition, embedded software systems are necessary to be reconfigured in different ways in response to the number of given instances of components of the applications in each node.

The proposed self-managed embedded software system monitors anomalies in the system using the specifications that define the system behavior at runtime. The behavior of each component constituting a self-managed embedded software system is modeled using the UML statechart so that the system autonomously detects anomalies in the system at runtime. To do this, each component has its own monitor encapsulating the UML statechart, and the objects within a component communicate messages with the monitor to notify the status of the objects. Each component in a self-managed embedded software system reconfigures itself against anomalies detected at runtime so that the system has minimal impact from the anomalies. The scenarios for reconfiguring a software system against anomalies are described in the specifications of the software system using formal or informal notations. Some functions or services of the system may not be provided or degraded after reconfiguration against anomalies. The reconfiguration of the software system is carried out at the software system level. For this, each component may encapsulate its own reconfiguration plans, or a global component may encapsulate reconfiguration plans to manage the reconfiguration of the system.

The output of this project is a self-managed embedded software system that is developed through this project. We will select an embedded software system, which may be open source or developed for this project. The embedded software system will contain additional capabilities for self-management, monitoring anomalies and reconfiguring the system against the anomalies.This project will be deployed for three years. In the first year, we will implement a self-managed embedded software system that monitors anomalies in the system. In the second year, the system will be extended to the reconfigurable system against the anomalies detected. In the third year, the system will be refined based upon the experience on the first and second years, and the final version of system will be tested via a test bed.

2. Dynamic techniques for service composition and recovery in service-oriented environments

Service-oriented computing poses new challenges for failure recovery and semantic correctness of concurrent processes due to the autonomous nature of service execution. This research project, funded as Grant No. CCF-0820152, with Dr. S. Urban as the principal investigator, is investigating flexible, event and rule-driven techniques for service composition. The research includes the investigation of user-defined approaches to the specification of correctness for concurrent execution as well as the recovery of failed processes that execute in a loosely-coupled, service-oriented environment without isolation guarantees. By building on foundational concepts of recoverability from past work with transaction processing, the approach involves monitoring the externalized data changes of individual service executions to discover data dependencies.

The research project has developed the concept of Process Execution Agents (PEXAs) and the manner in which multiple PEXAs communicate to discover data dependencies that can be used to support recovery activities. PEXAs are responsible for controlling the execution of processes that are composed of web services. PEXAs are associated with specific distributed sites and are also responsible for capturing and exchanging information with other PEXAs about the data changes that occur at those sites in the context of service executions. The data dependencies that are dynamically discovered identify processes that may be affected by the recovery procedures of a failed process.

In addition to defining PEXAs, the research includes the development of methodologies for using events and rules to define more flexible approaches to the specification of process execution and recovery techniques. Assurance points are defined as a logical and physical form of checkpointing that can be used for storing state variables, checking user-defined correctness constraints, and using rules to alter the execution path under different conditions. Assurance points also provide logical points for rollback and recovery. In addition, assurance points are used together with events and rules to respond to application exceptions in different ways depending on the assurance point status of a process. When failures occur, assurance points also support the invocation of process interference rules that check critical data conditions when a process is determined to be data dependent on a failed process by the decentralized data dependency analysis algorithms supported by PEXAs.

The focus of the research is on demonstrating the correctness of the decentralized approach to data dependency analysis as well as the correctness of recovery procedures for a service composition model enhanced with user-defined correctness conditions. The research also involves the development of a methodology for the use of assurance points together with events, rules, and recovery procedures. The formal and methodological aspects of the work are being supported by the development of algorithms for the efficient implementation of decentralized data dependency analysis, condition evaluation for process interference rules, and rule-triggered recovery procedures.

Student projects will be coordinated with the current state of the research during each summer session, where students will work closely with the graduate research assistants. Students will be introduced to service-oriented computing and will be involved in the design of software services, data services, and service-oriented process execution scenarios that can be used to support testing and simulation of flexible service compositon and decentralized data dependency analysis. Students will be exposed to advanced transaction management issues for service-oriented environments, as well as the use of decentralized, peer-to-peer computing concepts.

 

3. Creating Software for Autonomous Robots and Adaptive Agents

 

Although mobile robots are increasingly being used in the real-world, the ability to robustly sense and interact with the environment is still missing. Real-world application domains are characterized by partial observability, non-determinism and dynamic changes. Widespread deployment of mobile robots in the real-world therefore requires the ability to autonomously learn environmental models based on sensory
inputs, adapt to unpredictable changes, tailor sensing and processing to the task at hand, and learn from minimal and unreliable feedback to collaborate robustly with other robots and humans.

The proposed research framework directed by Dr. M. Sridharan addresses the above-mentioned challenges by exploiting the fact that real-world domains are characterized by a significant amount of structure. Objects with unique characteristics (e.g., color and shape) are located at specific locations, though these characteristics and locations may not be known in advance and may change over time. This structure is exploited to develop bootstrap learning algorithms that incorporate local, global and temporal visual cues for the unsupervised learning of object models. The learned models are used by the robot to adapt to a wide range of environmental changes in dynamic domains.

A mobile robot equipped with multiple sensors still cannot observe the entire domain or process all the data from different sensors. However, only a fraction of the domain or input data is relevant to any specific task. In addition, though human feedback is a rich source of information, such feedback is not readily available and is often unreliable. The proposed framework develops probabilistic planning algorithms to enable a mobile robot to automatically tailor sensing and information processing to the task at hand. In addition, each
robot learns to effectively utilize the information communicated by its teammates, and the sparse feedback provided by humans, in order to collaborate robustly.

The proposed algorithms are evaluated in simulated domains, and on humanoid and wheeled robot platforms. Application scenarios include surveillance tasks and the robot soccer domain, where a team of humanoid robots play a competitive game of soccer on an indoor soccer field. Interested students will hence have the opportunity to work with graduate students on cutting-edge research projects, and participate in RoboCup, the international robot soccer competitions. More information on the robotics research projects can be found
online: http://www.cs.ttu.edu/~smohan/Research.html

C++ Tutor Needed

I am a grad student in the physics department and i am having a rather difficult time learning the ins & outs of C++ classes/structures/pointers and how these blend with functions and such from just books/net. I am looking for someone who can help to explain how to better integrate these into programming. I have a lot of data analysis and i would like to program more efficently than i currently am.

Ahron Barber

barber@physics.utah.edu

office: 801.585.5999