Postdoctoral Students in Applied Optimization and Machine Learning Royal Institute of Technology, School of Electrical and Systems Engineering

Postdoctoral students in applied optimization and machine learning

 

Royal Institute of Technology, School of Electrical and Systems Engineering

 

KTH is one of Europe's leading technical universities and an important arena for knowledge development. As Sweden's largest university of technical research and education, we gather students, researchers and faculty from around the world. Our research and education covers both natural sciences and all branches of technology as well as architecture, industrial economics, social planning, technical history and philosophy.

 

The Department of Network and Systems Engineering consists of about 20 teachers, researchers and doctoral students who contribute to a high professional standard of intensive work and quality results, as well as a pleasant and open environment. The staff has an international background and the working language is English. The department is internationally well-established, has many research collaborations with excellent partners all over the world and is involved in several European and national projects.

 

project Description

 

We are looking for 1-2 postdoctoral students with background and interest in mathematics, optimization, machine learning, networking, system theory. Our research projects will support these postdoctors in the areas of optimization and machine learning with application to the Internet, wireless networks or cyber-physical systems of things.

 

KTH offers an attractive working environment, generous salary and other employment benefits. As a postdoctoral student at KTH you have the opportunity to attend conferences, projects and other relevant activities that can extend your professional network and benefit your future career.

 

qualifications

 

Applicants must have a doctorate or a close degree in the subject of electrical engineering, computer science, mathematics or the like. Applicants should have a strong background in at least one of the following areas: optimization theory, machine learning, wireless networks.

 

The chosen candidate needs an excellent academic qualification, well-developed analytical skills, as well as skills in problem solving. We are looking for a highly motivated candidate who can work independently. Good knowledge of English in spelling and writing is necessary to publish and present research results in international conferences and journals. The candidate may be involved in the research project to 20% of the employment. The ability to approx. 5% of the job involved in teaching is a plus.

 

Union representatives

You will find contact information for union representatives on the KTH website . 

 

Application

You apply through KTH's recruitment tool. You as the applicant have the main responsibility for completing your application as per the instructions below. Your complete application must be KTH at the latest by the closing date.

 

The application must contain the following:

  1. 1.     CV including relevant professional experience and knowledge.

  2. 2.     Copies of diplomas and grades from your previous university studies. Translations to English or Swedish about original documents are not issued in one of these languages.

  3. 3.     Brief explanation of why you want to conduct research, about your academic interests and how they relate to your past studies and future goals; max 2 pages long.

  4. 4.     Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.

  5. 5.     Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

 

Other

The employment is limited to 1 year with the possibility of renewal for another 1 year.

 

We discourage direct contact with staffing and recruitment companies as well as sales adverts.

 

Type of employment

Fixed-term employment longer than 6 months

Extent of employment

Full-time

Access

By agreement, preferably as soon as possible

Salary

Monthly Salary

Number of vacancies

2

employment rate

100%

place

Stockholm

County

Stockholm County

Country

Sweden

References

E-2017-1327

Contact

  • Carlo Fischione, Associate Professor, carlofi@kth.se, +46 73 632 25 61

  • Mikael Visén, Human Resources Administrator, Rekrytering@ee.kth.se, +46 8 790 84 89

Published

2017-11-29

Application deadline

2018-01-08

 


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