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.