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Diana Osorio

Associate Professor, Docent

Linköping University

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Sweden

Has open position

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Research Interests

Mathematics

10%

Synthetic Aperture Radar

10%

Applied Mathematic

10%

Electrical Engineering

10%

Robotics

10%

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Positions1

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Diana Pamela Moya Osorio

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Linköping University

PhD in Distributed Radar and Communication for Autonomous Drone Swarms

Linköping University is recruiting a PhD student for research on distributed radar and communication in autonomous drone swarms . The position sits in the Department of Electrical Engineering (ISY) and is part of CHASS , the newly established Center for Heterogeneous Adaptive Swarm Systems , a national initiative funded by the Swedish Strategic Research Foundation (SSF). The project is highly interdisciplinary and connects communication systems , signal processing , autonomous systems , robotics , AI , and swarm intelligence . The specific research focus includes distributed coherent processing and distributed synthetic aperture radar (SAR) over drone swarms, with broader themes around coordination, self-governance, and continuous improvement of autonomous swarm systems. Applicants should have a Master’s degree in Electrical Engineering or Applied Mathematics (or equivalent), with at least 240 credits and at least 60 advanced credits in one of those fields. The post emphasizes strong mathematical maturity, excellent programming skills, and excellent English communication skills. The university also values teamwork, problem-solving ability, and an analytical, structured working style. The employment is a doctoral position, normally for four years full-time equivalent , with possible extension up to five years depending on teaching and departmental duties. The role may include up to 20% teaching or other duties. Salary follows Linköping University’s locally negotiated PhD salary progression. Deadline: 2026-07-06. Apply via the university vacancy page using the online application button. The post is hosted at Linköping University and linked to CHASS, which aims to build world-leading research in autonomous heterogeneous swarm systems with strong academic and industry collaboration.

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