Postdoc in AI-native Wireless Networks

KTH Royal Institute of Technology

Stockholms kommun

On-site

SEK 350,000 - 550,000

Full time

14 days+
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Benefits offered by this job

Good working conditions
Attractive benefits
Diversity and equal opportunities

Job summary

KTH Royal Institute of Technology is seeking a candidate for an interdisciplinary project focusing on AI-enhanced wireless networks. This two-year position involves both theory and algorithm development related to AI technologies in wireless communication.

The ideal candidate should possess a doctoral degree and a strong research track record in relevant fields. Excellent English communication skills and collaboration capabilities are preferred, emphasizing KTH's commitment to diversity and equal opportunities.

Qualifications

  • Strong track record of research in AI and/or wireless networks.
  • Excellent writing and speaking English required.
  • Experience in collaboration and project management.

Responsibilities

  • Investigate technologies of AI-enhanced wireless networks.
  • Develop theories and algorithms for AI and wireless networks.
  • Optimize deployment of AI models in networks.

Skills

Research outputs in AI
Communication/information theory
Optimization
Collaboration
Project management

Education

Doctoral degree or equivalent
Doctoral degree obtained within last 3 years (preferred)

Job description

KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science

In recent years, Artificial Intelligence (AI) technologies have been developed drastically to change our society and industry. For instance, the performance of wireless networks has been greatly boosted by AI. With increasing data volume and model sizes, high-performance network is also a key enabling technology of advanced AI applications. Wireless network is therefore becoming AI native.

Responsibilities

The project will investigate key technologies of AI‑enhanced wireless networks and also advanced AI technologies within networks. You will work on the inter‑disciplinary project of AI and wireless networks in terms of theory and algorithm development. Concrete examples include optimized deployment of AI models in networks or optimized wireless networks by AI such as semantic communications or AI based optimization.

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.
  • You must have a strong track‑record of research outputs in the areas of AI and/or wireless networks, shown by high‑quality publications in top journals or top AI conferences.
  • You should have strong backgrounds in communication/information theory, optimization, or AI models (e.g., large language models, reinforcement learning).
  • Required knowledge/skill include excellent writing and speaking English, as it is required in the daily work.
  • We prefer that you have the excellent capability of collaboration and project management.

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
  • Knowledge and research experience in Large Language Model.
  • Research expertise.
  • Teaching abilities.
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality.

Great emphasis will be placed on personal skills.

Benefits
  • Good working conditions and attractive benefits.
  • Equality, diversity, and equal opportunities are essential to quality and are integral to KTH’s core values as a university and public authority.
Employment

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

It may be the case that a position at KTH is classified as a security‑sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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