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Posted: April 11 2016
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InterDigital is seeking an intern to be a part of a highly skilled team of engineers/researchers developing advanced networking protocols for Machine-to-Machine (M2M) / Internet of Things (IoT) systems. The ideal candidate will have experience or knowledge in Internet applications and wireless networking; specifically in big data analytics and related applications, network services, and cloud computing.
Essential Duties and Responsibilities:
•The candidate will work as a member of the Machine-to-Machine Communications (M2M) team defining, developing and validating concepts for next generation M2M / Internet of Things (IoT) end-to-end solutions such as big data analytics for IoT.
•Identify needs of next generation of M2M/IoT systems and devices and propose innovative architectural and protocol-based solutions.
•Evaluate and assess candidate solutions, validate solutions via analysis and modeling
•Communicate results to the senior management team and to the rest of the organization (reports, white papers, presentations)
RequirementsQualifications: This is a 6 month internship.
•Ph.D students with experience on Network Services, Cloud Computing and Big Data related applications.
•Data Mining and Analytics: protocols, collecting, processing, modeling, and implementation frameworks such as Hadoop-related (MapReduce. Spark, etc.) and experience/background on stream analytics.
•Semantics: modeling such as RDF/RDFS, OWL, SPARQL; implementation frameworks such as Triplestore, Sesame and Jena.
•Next Generation Web such as Semantic Web and cloud-based IoT platforms and services
•Internet of Things (IoT) Protocols: such as CoAP/HTTP, DTLS/TLS and UDP/TCP
•Good communication skills and teamwork spirit
•Available for six months Ph.D study in Computer Science or Information Eng., with research focused on Cloud Computing, IoT and data mining, distributed computing, etc.
•Proven publication record in prestigious conferences and journals
•Excellent ability for conducting cross-disciplinary research (both networking and data analytics areas)
•Strong analytical and research skills
•Strong written and verbal communication skills
•Hands on experience with mainstream platforms for big data related applications (e.g., Hadoop ecosystem) is a plus.