Postdoc in Privacy-Preserving Machine Learning over Networks
Royal Institute of Technology School of EECS
Sweden

Postdoc in Privacy-Preserving Machine Learning over Networks

KTH Royal Institute of Technology, School of EECS

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 architecture, industrial management, urban planning, history and philosophy.

Job description

We are currently looking for one post doctor. Our research projects will support the Research Associate within the areas of privacy-preserving Machine Learning over communication networks, with potential application to epidemiological data analysis.

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. Up to 20% of the working time may be dedicated to research projects management, submission, and teaching support.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).

Preferred qualifications

  • Research expertise in machine learning, optimization theory, and wireless communications
  • Interests in applied math research that in the future might be part of technological products
  • Ability to cooperate for research projects submissions
  • Teaching abilities.
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality.
  • Collaborative abilities.
  • Independence.

Great emphasis will be placed on personal competency

Trade union representatives

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

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

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
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-2860
Contact
Carlo Fischione, +46 8 790 74 24
Published 14.Dec.2020
Last application date 15.Jan.2021 11:59 PM CET


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