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JOB DESCRIPTION

The Institute of Telecommunications (Institute of Telecommunications) at TU Wien (Vienna, Austria) has two openings for full-time Ph.D. positions to conduct cutting-edge research in the general area of big data analytics in close collaboration with the Machine Learning for Big Data Group (https://research.cs.aalto.fi/MLBigDat) at Aalto University (Finland).

In the context of the WWTF project Co3-iGraB, we develop foundations for extracting useful information from massive data sets. The key idea is to tackle big data problems by a combination of graph signal processing and distributed optimization techniques. Distributed optimization can cope with high volume and high acquisition speed, whereas graph signal processing provides a universal language for modeling and managing diverse and decentralized data. The project is anticipated to lead to novel and versatile inference tools that are applicable to numerous real-world problems.

DESIRED SKILLS AND EXPERIENCE

We look for talented and passionate researchers to work on problems in statistical/sparse graph signal processing, graph learning, and distributed/non-convex optimization. Interested candidates should hold a master degree (or equivalent) in Electrical Engineering, Mathematics, Computer Science, or a related discipline, and show a strong background in mathematics and analytical thinking. Expertise in signal processing, statistics, optimization, information theory, or distributed computing is advantageous. Excellent written and oral communication skills in English are a must.

Applications including a cover letter, a detailed curriculum vitae, course transcripts, and the names of two referees should be sent by email to Prof. Gerald Matz via the "Apply for the job" button with cc to Prof. Alex Jung (alexander.jung@aalto.fi) no later than Sept. 30, 2016.

ABOUT THE EMPLOYER

The selected candidates will be offered a three-year Ph.D. contract with competitive salary and will have the opportunity to be part of a dynamic and internationally recognized team in an inspiring research environment. Multiple long-term stays with our collaboration partner at Aalto University (Finland) are envisaged. TU Wien is a leading academic institution, located in Austria's capital Vienna, offering superior quality of living in the heart of Europe 返回小木虫查看更多