From carlofi at kth.se Sat Dec 9 08:06:32 2017 From: carlofi at kth.se (Carlo Fischione) Date: Sat, 9 Dec 2017 16:06:32 +0000 Subject: [sigcomm] EECI International Graduate School: PhD Course on Wireless Sensors and Actuator Networks Message-ID: <2B9B0455-D66C-4A6B-A122-F78914B56879@kth.se> ****************************************************************************************** International PhD Course on Wireless Sensors and Actuator Networks http://people.disim.univaq.it/~alessadin/Flier EECI Course M14 WSAN 2018.pdf European Embedded Control Institute University of Paris-Saclay April 9-13, 2018 Advance registration before December 31, 2017: http://eeciinstitute.web-events.net/registration/ Grants for PhD students: http://eeciinstitute.web-events.net/grant-igsc-2018/ ******************************************************************************************** Abstract Cyber-physical systems such as Smart Grids, Internet of Things Networks, and Intelligent Transport Systems, are supported by three main engineering components: sensing/actuating, networking, and automatic decision making. These components can be generally abstracted as a wireless network of sensors and actuators (WSANs). In WSANs, the new interaction of sensing/actuating, networking, and decision making is demanding the development of novel fundamental design principles, so to reliably observe the physical world, interconnect its units, analyze data and perform control actions, even with resilience, privacy and security guarantees. This course presents the most relevant design principles of WSANs. Topics ? Mathematical modeling of networks and networked control systems; ? Resilient and secure methodologies for control-networking co-design; ? Networked optimization for WSANs; ? Mixed data- and model-based optimal control for large-scale WSANs; ? Experimental case studies on energy efficient buildings; ? Discussion of open problems and opportunities for research. Dr. Carlo Fischione Associate Professor Editor, IEEE Transactions on Communications Editor, IFAC Automatica Department of Network and Systems Engineering School of Electrical Engineering and Computer Sciences KTH Royal Institute of Technology SE-100 44 Stockholm, Sweden Phone: +46-736 32 25 61 Email: carlofi at kth.se Web: www.ee.kth.se/~carlofi -------------- next part -------------- An HTML attachment was scrubbed... URL: http://mailman.postel.org/pipermail/sigcomm/attachments/20171209/1b5a9887/attachment-0001.html From carlofi at kth.se Sat Dec 9 09:04:02 2017 From: carlofi at kth.se (Carlo Fischione) Date: Sat, 9 Dec 2017 17:04:02 +0000 Subject: [sigcomm] PhD Student Positions in Applied Optimization and Machine Learning Message-ID: ********************************************************************************************************* PhD Student Positions in Applied Optimization and Machine Learning Wireless Networks, Internet of Things, or Cyber Physical Systems KTH Royal Institute of Technology, School of Electrical Engineering and Computer Sciences https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:180940/type:job/where:4/apply:1 Deadline: January 8, 2018 ********************************************************************************************************* KTH Royal Institute of Technology in Stockholm has grown to become one of Europe?s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden?s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. The Department of Network and Systems Engineering consists of about 30 faculty members, researchers and doctoral students who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment. The staff has a multicultural background and the working language is English. We are an internationally recognized department investigating most aspects of Networks, Computer and Wireless Networking, Internet of Things, Security and Privacy, and Management of Projects, Systems and Services. Our research spans from theoretical to experimental approaches. We maintain collaborations worldwide with leading universities and major industrial partners. PhD positions description We are currently looking for 1-2 doctoral students with a strong background and interest in Mathematics, Optimization, Machine Larning, and Networks. Our research projects will support these doctoral students within the areas of Optimization and Machine Learning with application to Internet of Things, Wireless Networks, or Cyber Physical Systems. The doctoral student program in Electrical Engineering provides world class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competences and skills. KTH offers an attractive working environment, generous remuneration among the highest in Europe, as well as other employment benefits (sport, health, retirement contributions). As a doctoral student at KTH you have many opportunities to participate at conferences, projects and other relevant events which will extend your professional network and benefit your future career. Qualifications The candidates are expected to hold or to be about to receive an MSc degree in Mathematics, Engineering Physics, Electrical engineering, Computer Science or similar fields. The candidates should have excellent grades, very good skills in oral and written communication, and well developed analytical and problem solving skills. They should be ready to contribute to an international research group and a scientific research agenda of major importance for European industry and society. KTH aims to employ a diversity of talent and thus welcomes applicants who will add to the variety of the University. Application Log in to KTH?s recruitment system in order to apply to this position. You are responsible for ensuring that your application is complete according to the instructions below. Your complete application must be registered in the recruitment system no later than the last application date. The application must include: * CV including your relevant professional experience and knowledge. * Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages. * Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long. * Representative publications or technical reports: Documents no longer than 10 pages each. For longer documents (e.g. theses), please provide a summary (abstract) and a web link to the full text. * A letter of recommendation. * Contact information for two reference persons. We reserve the right to contact references only for shortlisted candidates. Dr. Carlo Fischione Associate Professor Editor, IEEE Transactions on Communications Editor, IFAC Automatica Department of Network and Systems Engineering School of Electrical Engineering and Computer Science KTH Royal Institute of Technology SE-100 44 Stockholm, Sweden Phone: +46-736 32 25 61 Email: carlofi at kth.se Web: www.ee.kth.se/~carlofi -------------- next part -------------- An HTML attachment was scrubbed... URL: http://mailman.postel.org/pipermail/sigcomm/attachments/20171209/d5ebf026/attachment.html From carlofi at kth.se Sat Dec 9 09:22:19 2017 From: carlofi at kth.se (Carlo Fischione) Date: Sat, 9 Dec 2017 17:22:19 +0000 Subject: [sigcomm] Post Docs in Applied Optimization and Machine Learning Message-ID: <995C78C5-D4CC-48BF-AA3D-A561E452C68A@kth.se> (Apologies for multiple postings) ********************************************************************************************************* Post Docs in Applied Optimization and Machine Learning Wireless Networks, Internet of Things, or Cyber Physical Systems KTH Royal Institute of Technology, School of Electrical Engineering and Computer Sciences https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:180854/where:4/ Deadline: January 8, 2018 ********************************************************************************************************* KTH Royal Institute of Technology in Stockholm has grown to become one of Europe?s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden?s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. The Department of Network and Systems Engineering consists of about 30 faculty members, researchers and doctoral students who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment. The staff has a multicultural background and the working language is English. We are an internationally recognized department investigating most aspects of Networks, Computer and Wireless Networking, Internet of Things, Security and Privacy, and Management of Projects, Systems and Services. Our research spans from theoretical to experimental approaches. We maintain collaborations worldwide with leading universities and major industrial partners. Project description We are currently looking for up to two Post Docs. Our research projects will support these Research Associates within the areas of Optimization Theory and Machine Learning over networks with applications to Internet of Things, Wireless Networks, Cyber Physical Systems. KTH offers an attractive working environment, generous remuneration among the highest in Europe, as well as full social benefits (including health insurance). As a postdoctoral researcher at KTH you have many opportunities to participate at conferences, projects, industrial collaborations, and other relevant events that will extend your professional network and benefit your future career. Qualifications Candidates should have a PhD (or be near completion) in Electrical Engineering, Computer Sciences, Mathematics or related field. The successful applicants should have an outstanding research documented by top-technical journal publications. We are looking for strongly motivated candidates, who are able to work independently and cooperate with PhD students. Well-developed analytical and problem solving skills are a requirement. Good command of English orally and in writing is required to present and publish research results. The successful candidates may be involved for about 20% of their employment time in management of research projects. The availability to be involved in PhD course teaching for about 5% of the employment time is a plus. Application Log in to KTH's recruitment system in order to apply to this position. You are responsible for ensuring that your application is complete according to the instructions below. Your complete application must be received by KTH no later than the last day of application. The application should include: ? Full curriculum vitae including your relevant academic, professional, and other achievements, experience and knowledge; ? Copy of the degree certificate(s) from your previously attended university-level institutions, with translations in English; ? Statement of purpose: What are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long; ? List of publications and copies of two representative publications or technical reports no longer than 15 pages each; ? Contact information for two reference persons. Dr. Carlo Fischione Associate Professor Editor, IEEE Transactions on Communications Editor, IFAC Automatica Department of Network and Systems Engineering School of Electrical Engineering and Computer Science KTH Royal Institute of Technology SE-100 44 Stockholm, Sweden Phone: +46-736 32 25 61 Email: carlofi at kth.se Web: www.ee.kth.se/~carlofi -------------- next part -------------- An HTML attachment was scrubbed... URL: http://mailman.postel.org/pipermail/sigcomm/attachments/20171209/51f256a7/attachment-0001.html