PhD Students and Postdoc Positions on Knowledge-Driven 6G Networks for Connected Mobility and Smart Manufacturing
Universidad Miguel Hernandez de Elche-UWICORE
The UWICORE laboratory at the Universidad Miguel Hernández (UMH) de Elche (Spain) offers several PhD student & post-doc positions on Knowledge-Driven 6G Networks for Connected Mobility and Smart Manufacturing.TasksFuture smart networks, including 6G, should go beyond pure communication systems and integrate sustainably computing, sensing, intelligence and connectivity capabilities for a proactive and knowledge-driven management of communications and networks solutions that will scalably and reliably support deterministic service levels and control processes. This should include hybrid intelligence solutions with reasoning capabilities to shift the focus of communications from the reliable and timely delivery of data to the semantic and goal-oriented transmission of data that is relevant and valuable. In this context, our lab is offering several research positions on the following topics:
RequirementsPhD candidates should have a Master in Computer Science or Engineering, Telecoms, or Electrical Engineering (or closely related disciplines). Interest or experience in one of the following topics is required: 5G and beyond wireless networks, Artificial Intelligence (Deep Learning, Reinforcement Learning), V2X communications, autonomous systems (e.g. connected and automated vehicles, and smart robots in manufacturing). The candidate should have good programming skills (e.g. C++, Python) as well as good theoretical foundations, analytical modelling and critical thinking skills. Publications in journals and conferences are positively considered but not required. Experience with machine learning software (PyTorch, Keras, or TensorFlow) is a plus. Good English writing and speaking skills are required, as well as team working attitude, and self‐motivation.
Post-doc candidates should have a PhD in Computer, Telecoms, Electrical or Robotics Engineering (or closely related fields), and a high-quality track record of publications in relevant journals and conferences. Preferably, the candidate should have done the PhD or have experience in one of the following research topics: AI, design of wireless networks, V2X communications, autonomous driving. Proficiency in programming languages such as C++ and Python, and experience with software development, debugging, and deployment is required. Experience with machine learning software such as PyTorch, Keras, or TensorFlow is a plus. Strong theoretical foundations and analytical modelling experience are also a plus. Critical thinking skills, team working attitude, and self-motivation are required. Proficiency in English writing and speaking is also required.Benefits Interested candidates should send their application by email. The application is open until all positions are filled. Candidates should send their Curriculum Vitae and their Academic Certificate and transcript of records to Prof. Javier Gozalvez (j.gozalvez umh es), Dr. Baldomero Coll-Perales (bcoll umh es) and Dr. Luca Lusvarghi (llusvarghi umh es). The subject of the email should be “Positions on Knowledge-Driven 6G Networks – Candidate name”. Applications will be continuously evaluated upon reception, and online interviews will be organized with the selected candidates until all positions are filled.Universidad Miguel Hernández de Elche-UWICOREThe UWICORE laboratory is a research group with solid and internationally recognized experience in in the field of wireless networks applied to connected and automated mobility and smart manufacturing. The laboratory is actively involved in EU and national projects, standardization and R&D contracts with industrial partners. Some of the research in the offer will be done in collaboration with some of our industrial partners in the USA. The laboratory is located in the mediterranean cost of Spain (Elche) and is part of the Communications Engineering Department of the Universidad Miguel Hernández (UMH) and of the Institute for Engineering Research (I3E) of Elche.
Elche, Alicante
Thu, 03 Oct 2024 22:34:34 GMT
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