PhD: Wireless-Native AI for Intelligent Sensing & Robotics

Aalborg University

Aalborg Kommune

Vor Ort

DKK 301.000 - 391.000

Vollzeit

14 Tage+
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Zusammenfassung

Aalborg University invites applications for a PhD stipend in wireless-native Physical AI Systems within the Wireless Communications study programme. The position is based at the Department of Electronic Systems and aims to advance integration of AI with wireless sensing and communication using robotic platforms and edge intelligence.

Candidates hold a Master’s degree in a related field, with strong mathematical and analytical skills and an interest in interdisciplinary research across AI,

Qualifikationen

  • PhD stipends are allocated to individuals who hold a Master's degree.
  • PhD stipends are normally for a period of 3 years.
  • It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with Ministerial Order No. 1039 of August 27, 2013.

Aufgaben

  • Investigate wireless-native physical AI systems with focus on AI integration with wireless sensing and communication.
  • Develop models and algorithms for the joint design of sensing, communication, inference, and action, and contribute to a robotic platform.
  • Collaborate across researchers in wireless communications, sensing, machine learning, and robotics.

Kenntnisse

Python
PyTorch
TensorFlow

Ausbildung

Master's degree in electrical engineering, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field

Tools

Python
PyTorch
TensorFlow

Jobbeschreibung

Aalborg University invites applications for a PhD stipend in wireless-native Physical AI Systems within the Wireless Communications study programme. The position is based at the Department of Electronic Systems and aims to advance integration of AI with wireless sensing and communication using robotic platforms and edge intelligence.

Candidates hold a Master’s degree in a related field, with strong mathematical and analytical skills and an interest in interdisciplinary research across AI,

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