Post Docs in Applied Optimization and Machine Learning, KTH, Sweden

KTH
08 Jan 2018
Study in:Sweden
0 days
Remaining

KTH Royal Institute of Technology, School of Electrical Engineering

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 Ph.D. 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.

Trade union representatives

You will find contact information to trade union representatives at KTH’s webpage.

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:

  1. Full curriculum vitae including your relevant academic, professional, and other achievements, experience and knowledge;
  2. Copy of the degree certificate(s) from your previously attended university-level institutions, with translations in English;
  3. Statement of purpose: What are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long;
  4. List of publications and copies of two representative publications or technical reports no longer than 15 pages each;
  5. Contact information for two reference persons.

Others

The employment is time limited to 1 year with possibility of extension with 1 more year

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
Number of positions 2
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number E-2017-1327
Contact
  • Carlo Fischione, Associate Professor, carlofi@kth.se, +46 73 632 25 61
  • Mikael Visén, HR administrator, rekrytering@ee.kth.se, +46 8 790 84 89
Published 29.Nov.2017
Last application date 08.Jan.2018 11:59 PM CET

Apply Now

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