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Archive for October, 2015

Dependable Internet of Things

Graz University of Technology (TU Graz) recently established an Excellence Research Center entitled “Dependable Internet of Things in Adverse Environments”. The mission of this long-term center is to foster a highly interdisciplinary research team spanning the computer science and electrical engineering faculties to lay the scientific foundations for an Internet of Things that is highly reliable, safe, and secure in order to enable critical applications that require guaranteed performance even in adverse environments.

The center is seeking to fill 10 PhD positions with excellent candidates, who will work closely together in four subprojects that focus on the following topics:

1. Dependable Wireless Communication and Localization (three positions in wireless networking, physical layer signal processing, and tunable microwave frontends)
2. Dependable Embedded Computing (two positions in embedded hardware and software with a focus on security and real-time operating systems)
3. Dependable Composition of Smart Things (three positions in model checking, model-based testing, and machine learning)
4. Dependable Networked Control (two positions in control theory and information theory)

Applicants must hold a Master degree (or equivalent) in computer engineering, computer science, or electrical engineering before they can take on the position. Proficiency in the English language (spoken and written) is required. Applicants should be highly motivated, have initiative and responsibility, be able to work independently and in an interdisciplinary team, should have interest in scientific research, should have commitment to publish research results and to obtain a doctoral degree.

The positions are to be filled from January 1, 2016 with an initial appointment for three years. The position is remunerated according to the collective contract (Kollektivvertrag) for Austrian Universities, i.e., the salary amounts to at least 37.280€/year before taxes and may increase depending on prior experience.

TU Graz aims to increase the number of female employees and therefore specifically invites qualified women to apply.

TU Graz is a leading technical university in Austria (ranking 151-200 in the world in engineering in the Shanghai Ranking) in a medium-sized city with a very high quality of life, located at the south-eastern foot of the Alps, offering plentiful recreation opportunities.

Applicants should fill in the application form available here and upload it together with a transcript of records, a copy of the master’s degree, a recent certificate of the level of proficiency of the English language, and a copy of the master’s thesis at the Easychair conference management system using this link.
For further information please contact the center coordinator Prof. Kay Römer (roemer aT tugraz dot at).

The application deadline is November 30, 2015.

CFP IPSN 2016

The ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) is a leading annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas.

New: In addition to IPSN’s traditional focus areas, IPSN 2016 is inaugurating a new track on the Internet of Things (IoT). The entire program committee is eligible to review any submitted paper, but in order to aid in reviewer selection, authors are encouraged to indicate in the submission site whether their submissions are related to the IoT track.

Like previous years, IPSN 2016 will continue its focus on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors, as well as new hardware and software architectures, modelling, evaluation, deployment experiences, design methods, implementations, and tools for networked embedded sensor systems.

Important Dates:

Abstract registration:     Thursday, October 8, 2015
Submission deadline:     Thursday, October 15, 2015
Acceptance notification:   January 19, 2016
Conference dates:     April 12, 2016

More information in the conference site here