Candidate Requirements for Software Quality Assurance Engineer Opening

Qualcomm's Research & Development team in San Diego has a number of cutting edge projects lined up for next summer and will hire 20+ interns on their team during Summer 2013. The opportunities below are just a section. See the complete list here.

Intern Context Analysis and Reasoning (Qualcomm Research San Diego)

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Job Function

Mobile phones have transformed from being a communication device to smart and powerful personal computing platforms. Over recent years, with a wide variety of sensors available on smart phones, there has been an exploding interest in context aware applications that use sensor information to infer user situation and interest. These applications utilize different types of hard sensor data (such as GPS, WiFi, accelerometer, gyro, Bluetooth, pressure sensor, etc.) and soft sensor data (such as user calendar, user profile, data from social networks such as Facebook posts and Twitter feeds) to infer user situations and provide a useful service.

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Responsibilities

Positions are available in the following areas: Situation Inference on Mobile Devices

The goal of this intern project is to research algorithms for inferring user situations from smartphone sensor data. This involves developing machine learning and probabilistic graphical models to fuse low-level inferences from multiple sensor streams. The intern will work on developing techniques and on-device algorithms.

Always-On Context Awareness

Since context is fundamentally 24/7, one of the key challenges is to enable situation inference that is always-on, or “in the background,” and to do this within the power requirements for background tasks. The goal of this intern task is to analyze context aware algorithms and smartly optimize them for execution on QUALCOMM smartphone platforms.

Privacy

The goal of this internship task is to develop a framework for privacy in smartphones that provides a good tradeoff between the amount of private data collected and utility of the application. The intern will look into different aspects of privacy in smart phone and examine approaches to: (1) include privacy aspects into sensor data collection and inferences made from different types of data, (2) incorporate privacy in data models and ontologies, and (3) automatically learn user preferences and user privacy settings for different context aware applications.

Skills/Experience

Seeking candidates with strong background in one or more of the following areas:

• Machine learning, statistics, and signal processing
• Hands on experience with probabilistic inference techniques, Bayesian networks, graphical models, Hidden Markov models
• Working knowledge on semantics, reasoning, ontology definitions
• Experience working with rule based systems
• Privacy aspects of data acquisition
• Sensor data analysis and modeling
• System design and analytical reasoning
• Strong coding skills on C++, Java, and Android is a plus.

Qualcomm's Research & Development team in San Diego has a number of cutting edge projects lined up for next summer and will hire 20+ interns on their team during Summer 2013. The opportunities below are just a section. See the complete list here.

Intern Context Analysis and Reasoning (Qualcomm Research San Diego)

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Job Function

Mobile phones have transformed from being a communication device to smart and powerful personal computing platforms. Over recent years, with a wide variety of sensors available on smart phones, there has been an exploding interest in context aware applications that use sensor information to infer user situation and interest. These applications utilize different types of hard sensor data (such as GPS, WiFi, accelerometer, gyro, Bluetooth, pressure sensor, etc.) and soft sensor data (such as user calendar, user profile, data from social networks such as Facebook posts and Twitter feeds) to infer user situations and provide a useful service.

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Responsibilities

Positions are available in the following areas: Situation Inference on Mobile Devices

The goal of this intern project is to research algorithms for inferring user situations from smartphone sensor data. This involves developing machine learning and probabilistic graphical models to fuse low-level inferences from multiple sensor streams. The intern will work on developing techniques and on-device algorithms.

Always-On Context Awareness

Since context is fundamentally 24/7, one of the key challenges is to enable situation inference that is always-on, or “in the background,” and to do this within the power requirements for background tasks. The goal of this intern task is to analyze context aware algorithms and smartly optimize them for execution on QUALCOMM smartphone platforms.

Privacy

The goal of this internship task is to develop a framework for privacy in smartphones that provides a good tradeoff between the amount of private data collected and utility of the application. The intern will look into different aspects of privacy in smart phone and examine approaches to: (1) include privacy aspects into sensor data collection and inferences made from different types of data, (2) incorporate privacy in data models and ontologies, and (3) automatically learn user preferences and user privacy settings for different context aware applications.

Skills/Experience

Seeking candidates with strong background in one or more of the following areas:

• Machine learning, statistics, and signal processing
• Hands on experience with probabilistic inference techniques, Bayesian networks, graphical models, Hidden Markov models
• Working knowledge on semantics, reasoning, ontology definitions
• Experience working with rule based systems
• Privacy aspects of data acquisition
• Sensor data analysis and modeling
• System design and analytical reasoning
• Strong coding skills on C++, Java, and Android is a plus.

Qualcomm's Research & Development team in San Diego has a number of cutting edge projects lined up for next summer and will hire 20+ interns on their team during Summer 2013. The opportunities below are just a section. See the complete list here.

Intern Context Analysis and Reasoning (Qualcomm Research San Diego)

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Job Function

Mobile phones have transformed from being a communication device to smart and powerful personal computing platforms. Over recent years, with a wide variety of sensors available on smart phones, there has been an exploding interest in context aware applications that use sensor information to infer user situation and interest. These applications utilize different types of hard sensor data (such as GPS, WiFi, accelerometer, gyro, Bluetooth, pressure sensor, etc.) and soft sensor data (such as user calendar, user profile, data from social networks such as Facebook posts and Twitter feeds) to infer user situations and provide a useful service.

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Responsibilities

Positions are available in the following areas: Situation Inference on Mobile Devices

The goal of this intern project is to research algorithms for inferring user situations from smartphone sensor data. This involves developing machine learning and probabilistic graphical models to fuse low-level inferences from multiple sensor streams. The intern will work on developing techniques and on-device algorithms.

Always-On Context Awareness

Since context is fundamentally 24/7, one of the key challenges is to enable situation inference that is always-on, or “in the background,” and to do this within the power requirements for background tasks. The goal of this intern task is to analyze context aware algorithms and smartly optimize them for execution on QUALCOMM smartphone platforms.

Privacy

The goal of this internship task is to develop a framework for privacy in smartphones that provides a good tradeoff between the amount of private data collected and utility of the application. The intern will look into different aspects of privacy in smart phone and examine approaches to: (1) include privacy aspects into sensor data collection and inferences made from different types of data, (2) incorporate privacy in data models and ontologies, and (3) automatically learn user preferences and user privacy settings for different context aware applications.

Skills/Experience

Seeking candidates with strong background in one or more of the following areas:

• Machine learning, statistics, and signal processing
• Hands on experience with probabilistic inference techniques, Bayesian networks, graphical models, Hidden Markov models
• Working knowledge on semantics, reasoning, ontology definitions
• Experience working with rule based systems
• Privacy aspects of data acquisition
• Sensor data analysis and modeling
• System design and analytical reasoning
• Strong coding skills on C++, Java, and Android is a plus.

Qualcomm's Research & Development team in San Diego has a number of cutting edge projects lined up for next summer and will hire 20+ interns on their team during Summer 2013. The opportunities below are just a section. See the complete list here.

Intern Context Analysis and Reasoning (Qualcomm Research San Diego)

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Job Function

Mobile phones have transformed from being a communication device to smart and powerful personal computing platforms. Over recent years, with a wide variety of sensors available on smart phones, there has been an exploding interest in context aware applications that use sensor information to infer user situation and interest. These applications utilize different types of hard sensor data (such as GPS, WiFi, accelerometer, gyro, Bluetooth, pressure sensor, etc.) and soft sensor data (such as user calendar, user profile, data from social networks such as Facebook posts and Twitter feeds) to infer user situations and provide a useful service.

QUALCOMM Research is looking for highly motivated and self-driven systems engineering interns to work on challenging problems related to context awareness on mobile platforms.

Responsibilities

Positions are available in the following areas: Situation Inference on Mobile Devices

The goal of this intern project is to research algorithms for inferring user situations from smartphone sensor data. This involves developing machine learning and probabilistic graphical models to fuse low-level inferences from multiple sensor streams. The intern will work on developing techniques and on-device algorithms.

Always-On Context Awareness

Since context is fundamentally 24/7, one of the key challenges is to enable situation inference that is always-on, or “in the background,” and to do this within the power requirements for background tasks. The goal of this intern task is to analyze context aware algorithms and smartly optimize them for execution on QUALCOMM smartphone platforms.

Privacy

The goal of this internship task is to develop a framework for privacy in smartphones that provides a good tradeoff between the amount of private data collected and utility of the application. The intern will look into different aspects of privacy in smart phone and examine approaches to: (1) include privacy aspects into sensor data collection and inferences made from different types of data, (2) incorporate privacy in data models and ontologies, and (3) automatically learn user preferences and user privacy settings for different context aware applications.

Skills/Experience

Seeking candidates with strong background in one or more of the following areas:

• Machine learning, statistics, and signal processing
• Hands on experience with probabilistic inference techniques, Bayesian networks, graphical models, Hidden Markov models
• Working knowledge on semantics, reasoning, ontology definitions
• Experience working with rule based systems
• Privacy aspects of data acquisition
• Sensor data analysis and modeling
• System design and analytical reasoning
• Strong coding skills on C++, Java, and Android is a plus.

The National Institute on Aging (NIA)is looking to bring in extremely motivated, highly qualified students from diverse backgrounds who are passionate about conducting biomedical research.  The NIA would like to encourage your students to apply to the SIP.  In the past, we have had students from your institution apply, be selected for the program and have had extremely successful summers with us. 

The deadline for applying is March 1, 2013!

The personal statement is one of the key elements to a successful application to NIST (National Institute of Standards and Technology).  Get some tips on how to write one at our workshop on Monday, December 10.  Details below:

Monday, December 10, 2012

12:00 - 12:50 p.m.

ACAD IV Rm. 207

SURF Personal Statement Workshops

The United States Secret Service, Baltimore Field Office  is currently accepting applications for Summer 2013 Student Volunteer Service Program (Internship) through January 4, 2013.

Our Student Volunteer Service Program (Internship) offers many advantages, including career exploration early in a student’s academic studies, exposure to new and emerging occupations/technologies,  and offers academic credit for the work performed, as well as  work experience that may be considered relevant if the student later applies for permanent employment.  The program, however, is not intended to provide the intern with investigative or protective experience.

To be considered, a student must:

1.       Be a U.S. Citizen

2.       Be at least 16 years of age at the time of appointment

3.       Be enrolled or accepted for enrollment during the upcoming semester or quarter as a diploma/certificate/degree seeking student in high school,  or in an educational institution not above the baccalaureate level that is accredited by a recognized body

4.       Obtain an agreement from the institution to participate

5.       Maintain a satisfactory academic record of a 2.5 or better cumulative grade point average

6.       Not be a son or daughter of a current Secret Service employee

7.       Be able to obtain a Top Secret clearance

To apply, student should complete the attached PDF Forms consisting of:

1.       Student Volunteer Service Program Application

2.       OF 306 – Declaration for Federal Employment

In addition, students should submit  the following with the above Forms:

3.       Resume

4.       Unofficial transcript (official transcript required at time of interview)

Completed application may be submitted to: BAL.Recruitment@usss.dhs.gov with attachments  or may be faxed to:  443-263-1100, ATTN:  RECRUITMENT no later than JANUARY 4, 2013.  No application will be accepted for Summer 2013 Program after close of business (cob) January 4, 2013.         

Let the Quests Begin!

The Industrial Internet. The Internet of Things. What
does it all mean? In a nutshell, it’s internet-connected devices collecting data and communicating to make industries smarter. This data is then used to anticipate and avoid problems, instead of fixing things after
the fact.

 As we continue to look for different ways to analyze
data we need, we’re looking for people who know how
to analyze and interpret data. Like finding an algorithm
that can reduce air travel delays, or a solution to streamline a patient’s experience in the hospital.

 To get started, choose your quest. Or, to learn more, watch the intro videos for the Flight Quest and the Hospital Quest. Go to www.gequest.com

 GE Flight Quest Challenge

 http://www.youtube.com/watch?v=sFZ4hWzsunc&feature=player_embedded

 GE Hospital Quest Challenge

 https://www.youtube.com/watch?feature=player_embedded&v=-HBZkBLcEdY

New Industrial Internet Service Technologies From GE Could Eliminate $150 Billion in Waste,http://www.gereports.com/new_industrial_internet_service_technologies_from_ge_could_eliminate_150_billion_in_waste/