Basic Advice On Issues For Online Training For Curriculum Vitae

online training for curriculum vitae

The position is further expected to complement on existing strategic initiatives in Data Science at ETH Zurich and within Switzerland. Candidates should have an excellent record of internationally recognized research, which demonstrates a strong link to other areas of computer science (machine learning, artificial intelligence, data science, visual computing) with applications in media and publishing. Examples for the computer science expertise of the successful candidate include, but are not limited to social media analytics, profiling and sentiment analysis, text and natural language understanding, semantic analysis, story understanding, metadata extraction, virtual and augmented realities, and video processing. The new professor is expected to supervise graduate students, to teach undergraduate level courses (German or English) as well as graduate level courses (English) in Computer and Data Science. The expectation is to fill the position with a tenured full professor, but excellent applications at the (tenure track) assistant professor level will also be considered. Please apply online at: Applications should include a curriculum vitae, a list of publications, a statement of future research and teaching interests, the contact details of five referees, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 15 March 2017. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples.

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online training for curriculum vitae

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