Miguel Hernandez University
1 week ago
PhD Positions in Physical AI, Multi-Agent Systems, and 6G Networks Universidad Miguel Hernández in Spain
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Spain
University
Miguel Hernandez University

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About this position
PhD opportunities are available at Universidad Miguel Hernández (UMH) in the areas of Physical AI, Multi-Agent Systems, and 6G Networks. The project sits at the intersection of autonomous agents, networking, and cyber-physical systems, with research directions that may include embodied agents, edge-cloud continuum infrastructure, AI-network-control co-design, collaborative mobile robotics, and connected automated mobility.
The positions are described as fully funded under the Spanish PhD employment scheme and include full social security coverage. The duration is 3 years, and the start date is as soon as possible. Specific topics will be discussed during interviews and can be co-defined with selected candidates based on background, expertise, and interests.
Eligible applicants should hold, or be close to completing, a Master’s degree in Robotics, Computer Science, Electrical/Electronic Engineering, Telecommunications Engineering, or a related field. Strong interest or experience in Artificial Intelligence, Physical AI, Autonomous Systems, Multi-Agent Systems, Networking, or 6G is expected. Good programming skills in C++ and/or Python, strong theoretical foundations, critical thinking, and good English communication skills are important. Experience with PyTorch, TensorFlow, or simulation environments is a plus, but not required.
To apply, candidates should email a CV (including two or three references), academic transcripts, and Bachelor’s and Master’s degree certificates to the listed supervisors. Applications are evaluated continuously until the positions are filled.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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