[sigcomm] PhD Student Positions in Applied Optimization and Machine Learning
Carlo Fischione
carlofi at kth.se
Sat Dec 9 09:04:02 PST 2017
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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
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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<mailto:carlofi at kth.se>
Web: www.ee.kth.se/~carlofi<http://www.ee.kth.se/~carlofi>
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