Open Ph.D. position at Auto-ID Labs, ETH Zurich

A Ph.D. position is available at the Auto-ID Lab as part of the research group Information Management (IM) of the Department for Management,

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Technology, and Economics (Prof. Fleisch) at ETH Zurich.

This offered position should investigate disclosed needs on social media in order to match local and regional services.

We provide an environment that combines academic excellence with practical relevance at ETH Zurich.

The integration of information with physical products is progressing both in home and industrial environments. The Auto-ID Lab is investigating the Internet of Things as a means to generate new business applications out of integrating digital services with physical products and things. Throughout the past years the group has also published various research articles on the data analytics of Facebook brand pages in order to listen to and learn from a brand’s clients. As part of this offered position social media comments of users should be analyzed for user needs in order to match local and regional services accordingly: disclosed needs on social digital media shall be investigated regarding their potential of generating leads for local businesses.

We offer an inspiring environment at ETH Zurich, one of the world’s leading universities for technology and the natural sciences. As part of the Auto-ID Labs network we share close links with MIT, Univ. of Cambridge, Keio University, Fudan University, Univ. of Adelaide and KAIST. Furthermore, we provide an environment that combines academic excellence with practical relevance. Within the research team students are coached and guided towards publishing scientific results, in collaboration with the various industry

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partners research results are being continuously reviewed and grounded in practice. Thus, a Ph.D. in our group not only introduces to the research community but also provides project experiences and diversified business contacts.

You are holding an excellent university degree, you are creative, ambitious and are interested in both scientific research as well as projects from practice. Internships and studies abroad are highly appreciated. Social competence and enjoying working in a team is required. We are specifically looking for students with backgrounds in at least one

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area of social networks, pattern recognition, and mobile applications. Does this trigger your thoughts about compelling research projects that you could pursue here? Please send your application including your CV, transcripts/certificates, list of publications and research statement to Dr. Florian Michahelles ( Please do not hesitate to contact us if you should have further questions.

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