Deadline: 5 Jan. 2013
The Automatic Control Lab, KTH Royal Institute of Technology, seeks PhD students
Work description
We are now looking for 1-3 PhD students with background and interest from some of the following areas: mathematics, control theory, system identification, machine learning, statistical learning theory, and optimization. The research concerns theory development for different aspects of system identification of large scale complex systems. Examples of problems that we study are estimation in decentralized systems and networks, optimal experiment design, sparse estimation and reinforcement learning. We use and develop techniques from all the areas above. Our applications span a large range, including communications systems, smart grids, intelligent transportation systems, combustion engines, and process control. PhD students are expected to (i) contribute to lay the foundations towards a theory, (ii) to devise practical solutions.
Employers reference number: E-2012-0592
The application shall include a CV, a brief statement on why the applicant wishes to pursue PhD studies, contact information to three references, the degree certificate, and official transcripts of records, and any other information that may be useful. The application should be sent by email to: 0592@ee.kth.se in pdf format (only), with all documents merged into a single PDF-file, and with the reference number in the subject field.
Or to:
KTH School of Electrical Engineering
Att: Emma Johansson, Kansliet
Osquldas väg 10
SE – 100 44 Stockholm
Sweden
E-mail: hakan.hjalmarsson@ee.kth.se
Bo Wahlberg, Professor
E-mail: bo@ee.kth.se
We are now looking for 1-3 PhD students with background and interest from some of the following areas: mathematics, control theory, system identification, machine learning, statistical learning theory, and optimization. The research concerns theory development for different aspects of system identification of large scale complex systems. Examples of problems that we study are estimation in decentralized systems and networks, optimal experiment design, sparse estimation and reinforcement learning. We use and develop techniques from all the areas above. Our applications span a large range, including communications systems, smart grids, intelligent transportation systems, combustion engines, and process control. PhD students are expected to (i) contribute to lay the foundations towards a theory, (ii) to devise practical solutions.
Qualifications
- Highly motivated individuals holding an MSc degree in electrical engineering, engineering physics, computer science or similar;
- The candidates should have excellent grades and very good skills in oral and written communication;
- To be ready to contribute to an international research group and a scientific research agenda of major importance for European industry and society.
Employment
PhD positions are intended for those who pursue their own doctoral studies. The positions include about 80% research and 20% teaching assistance duties. The salary is based on the existing employment agreement for PhD position at the School of Electrical Engineering.Application
Application deadline: 2013-01-05Employers reference number: E-2012-0592
The application shall include a CV, a brief statement on why the applicant wishes to pursue PhD studies, contact information to three references, the degree certificate, and official transcripts of records, and any other information that may be useful. The application should be sent by email to: 0592@ee.kth.se in pdf format (only), with all documents merged into a single PDF-file, and with the reference number in the subject field.
Or to:
KTH School of Electrical Engineering
Att: Emma Johansson, Kansliet
Osquldas väg 10
SE – 100 44 Stockholm
Sweden
Contacts
Håkan Hjalmarsson, ProfessorE-mail: hakan.hjalmarsson@ee.kth.se
Bo Wahlberg, Professor
E-mail: bo@ee.kth.se
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