Alcatel-Lucent Research Scientist in Cambridge, United Kingdom
Nokia is a global leader in the technologies that connect people and things. Powered by the pioneering work of Bell Labs, our research and innovation division, and Nokia Technologies, we are at the forefront of creating and licensing the technologies that are increasingly at the heart of our connected lives. Nokia Bell Labs is internationally renowned as the birthplace of modern information theory, the transistor, the laser and the UNIX operating system.
Bell Labs' research facility in Cambridge is a leading lab working in the areas of Mobile Sensing and Systems, Applied Machine Learning, Social Computing and Internet of Things research. We have openings for inspired innovators in our Pervasive Sensing and Systems Department of the Application Platforms and Software Systems (A&S) research Program. The department's research agendas are:
Embedded OS-level software enabling resource-efficient high-precision sensor processing, modeling and analytics.
Multi-modal edge-device-based deep learning models of human behavior and context reasoning in the wild.
Exploration and understanding of new sensor modalities.
Disruptive end-to-end applications in the areas of digital health, smart home and quantified enterprise.
Main duties and responsibilities
Carry out groundbreaking research in the areas of Mobile Systems, Ubiquitous Computing and Applied Machine learning with focus on above mentioned research agendas for creating both theoretical innovations and novel practical implementations.
Contribute to the technical definition of research objectives and programs.
Propose and publish research for the major research publications worldwide.
Create and maintain strong collaborative associations with university-based researchers, other leading research bodies, and product business units.
Keep an active and visible role in the research community through conference committees and reviewing panels.
Expected qualifications, skills and experience required for this job
A Ph.D. in Computer Science with a strong focus on topics within UbiComp, Mobile Computing or Applied Machine Learning. PostDoc experience is a plus.
Comprehensive understanding of Mobile and Embedded Operating Systems and Mobile Application Frameworks (e.g., Android / iOS).
Extensive experience in Machine Learning and Data Mining techniques (especially deep learning methods) for processing sensory signals (vision, speech, motion, etc.)
A proven track record in research, with publications in prestigious journals and conferences.
Strong written and spoken communications skills.
Ability to conduct independent research while also contributing to team oriented project.
Closing date 11th of January 2017
Job: fALU Research and Development
Primary Location: Europe, Middle East, Africa-United Kingdom-Cambridge
Req ID: 160000067V