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Postdoc in AI-enhanced 6G Mobile Networks

KTH Royal Institute of Technology, School of EECS

Job description

6G networking is supposed to cater towards new use cases, which will integrate communication and computing in novel and highly dependent ways. A new application class, summarized as the Cyber-Physical Continuum, will be enabled by 6G networks, allowing entirely new use cases with unprecedented utility to societies. Nevertheless, these new opportunities are associated with an ever-increasing complexity of future networked systems. It is commonly accepted in the academic and industrial research community that AI will play here a pivotal role in efficiently managing such future networks despite the complexity increase.

Our research group is focusing on science paving the way towards 6G networks, with a particular emphasis on the dependable Cyber-Physical Continuum. Our research agenda is supported through several leading large initiatives like the research center on edge computing at KTH – TECoSA (https://www.tecosa.center.kth.se/ ) as well as the SNS project Deterministic6G. For these and further activities we are seeking in this call postdoc candidates with the ambition to lead research in the domain of 6G and AI. The position comprises, on the one hand, research on leveraging AI at run-time to support 6G networks fulfilling complex application requirements as encountered with Cyber-Physical Systems. On the other hand, we are pursuing novel AI architectures, for instance leveraging causality, with respect to upcoming novel components in 6G systems. In general, our research is aiming at driving upcoming architectures of 6G networks in combination with industrial partners. The position involves collaborations within our research group as well as with other research groups from different disciplines and universities. It will also comprise collaborations with industrial partners.

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
  • Work in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH
  • A work environment that targets cutting edge research on a global level, and involves many nationalities as well as many different work styles and methodologies
  • The opportunity to prepare a later career in academia or as an industrial research leader

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
  • A track record in theoretical or experimental 6G research, for instance with respect to networking for cyber-physical systems, ultra-reliability, low latency, performance prediction or related areas.
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaboration abilities
  • Independence

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Strong background in machine learning, such as recurrent neural networks, LSTMs, transformers etc. Knowledge in causality and/or large language models is a plus.
  • Team leadership skills, or an interest in developing them.
  • Strong communication skills (both orally and in writing)

Great emphasis will be placed on personal skills.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in 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.

According to The Protective Security Act (2018-585), the candidate must undergo and pass security vetting if the position is placed in a security class. Information regarding whether the position is subject to such a classification will be provided during the recruitment process.

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.

About KTH

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. Read more here

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Type of employment

Temporary position

Contract type

Full time

Full-time equivalent

100 %

First day of employment

According to agreement

Salary

Monthly salary

Number of positions

1

Location

Stockholm

County

Stockholms län

Country

Sweden

Reference number

J-2024-2739

Published

15.Oct.2024

Last application date

06.Nov.2024

Contact
James Gross, Professor
jamesgr@kth.se
Anna Mård, HR Officer
rekrytering@eecs.kth.se