Προκήρυξη:

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 research activities of The Department of Automatic Control are focused on system identification, control, machine learning and optimization of dynamical systems, with applications in autonomous systems, networked system, process control, robotics and secure systems. The personnel has a multicultural background and the working language is English. The department is internationally well established and is involved in many European and national research centers and projects. Industrial partners include ABB Corporate Research, ABB Process Automation, BillerudKorsnäs, Ericsson Research, and Scania. We have a large academic network and collaborate with researchers at MIT, UC Berkeley, Stanford University, TU Eindhoven, and Université de Lyon among others. Automation and Control at KTH was ranked 12 in the world in the latest ARWU Shanghai ranking.

KTH offers an attractive working environment, generous remuneration, as well as other employment benefits.

Project description

Learning Dynamical Systems is an area closely related to cyber-physical systems as well as real-time big data analytics, and it provides backbone algorithms for digitalization of industry and society. Together with researchers from Uppsala University, and with strong support from the Swedish Research Council, we are now building up the research environment NewLEADS  for this core technology in autonomous systems with applications such as smart buildings, self-driving vehicles, and self-learning robots. We focus on theory development around three important themes: Fundamental techniques focuses on how to learn parsimonious models in a statistical and computationally efficient way. Active and on-line learning concerns how to improve data-efficiency by actively controlling the excitation of the system in a sequential manner, possibly together with an application specific objective. Dynamical networked systems addresses issues of relevance to interconnected systems, a field rapidly increasing in importance thanks to the fast develpment of (wireless) communication technology and the Internet-Of-Things paradigm.

NewLEADS consists of  seven senior researchers  complemented by postdocs and PhD-students. As a doctoral student in NewLEADS you will be jointly supervised by researchers from the two schools, you will have the possibility to visit other leading international research groups, participate in conferences and other activities that will extend your professional network and be of value for your continued career.  The doctoral 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.

There will be ample opportunity to interact with the Wallenberg Autonomous Systems and Software Program (WASP). WASP is Sweden's largest individual engineering research program ever, and provides a platform for academic research and education, fostering interaction with Sweden's leading technology companies. The program addresses research on autonomous systems and software acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. Two of the senior researchers in NewLEADS are Principle Investigators in WASP.

For the doctoral student position in question there is a possibility to become affiliated with WASP Graduate School. The curriculum provides the foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoralstudents, researchers and industry. 

Qualifications

The successful applicant is expected to hold or to be about to receive an MSc degree in Electrical Engineering, Engineering Physics or Computer Engineering.

The successful applicant should have an outstanding academic track record, and well developed analytical and problem solving skills. We are looking for a strongly motivated person, who is able to work independently as well as together with other researchers. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.

Trade union representatives

You will find contact information to trade union representatives at KTH's website.

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 ad. Your complete application must be received by KTH no later than the last day of the application period.

The application must include:

1. CV including your relevant professional experience and knowledge.
2. 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.
3. 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.
4. 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.
5. Letters of recommendation
6. Contact information for two reference persons. We reserve us the right to contact references only for shortlisted candidates.

All information should be submitted in a single pdf-file.

Others

The employment is time limited following the regulations for doctoral student employment in the Higher Education Ordinance (~ 4.5 years when 90% PhD studies and 10% department service including teaching).

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment: Temporary position longer than 6 months
Contract type: Full time
First day of employment: According to agreement, preferably as soon as possible
Salary: Monthly salary according to KTH's doctoral student salary agreement
Number of positions: 3
Working hours: 100 %
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: E-2017-1315
Contact:

1. Håkan Hjalmarsson, Professor, hakan.hjalmarsson@ee.kth.se, +46 70 230 74 91
2. Cristian Rojas, Associate Professor, crro@kth.se, +46 8 790 74 27
3. Bo Wahlberg, Professor, bo@kth.se, +46 8 790 72 42
4. Mikael Visén, HR administrator, rekrytering@ee.kth.se, +46 8 790 84 89