PhD Students and Postdoc Positions on Knowledge-Driven 6G Networks for Connected Mobility and Smart Manufacturing
PhD Students and Postdoc Positions on Knowledge-Driven 6G Networks for Connected Mobility and Smart Manufacturing
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Job Description
The UWICORE laboratory at the Universidad Miguel Hernndez (UMH) de Elche (Spain) offers several PhD student & postdoc positions on KnowledgeDriven 6G Networks for Connected Mobility and Smart Manufacturing.
Tasks
Future smart networks including 6G should go beyond pure communication systems and integrate sustainably computing sensing intelligence and connectivity capabilities for a proactive and knowledgedriven 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 goaloriented transmission of data that is relevant and valuable. In this context our lab is offering several research positions on the following topics:
- Design of novel Artificial Intelligence (AI)based solutions (including generative AI) to process and interpret contextual information for generating collective awareness predict the evolution of context and determine the relevance and semantic value of information for optimizing the efficiency and scalability of 6G communications and networks.
- Causal reasoning mechanims to facilitate explainability improve accuracy and reduce computational cost of AIbased knowledge generation for the design of 6G communications and networks.
- Study the role of infrastructure (with additional sensing capabilities) for collaboratively improving the knowlegde generation with devices and sensors.
- Design of knowledgedriven AIbased and semantic and goaloriented 6G networking protocols for improving the scalability of networks and the capacity to sustain deterministic service levels. The research will focus on the opportunities challenges and priorities of Connected and Automated Mobility (CAM including V2X networks) and smart manufacturing two verticals in which the lab has significant expertise. Both verticals embed expanding connectivity processing sensing autonomy control and AI capabilities that empower a more cognitive and costeffective management of future networks.
Requirements
PhD 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 ss (e.g. C Python) as well as good theoretical foundations ytical modelling and critical thinking ss. 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 ss are required as well as team working attitude and selfmotivation.
Postdoc candidates should have a PhD in Computer Telecoms Electrical or Robotics Engineering (or closely related fields) and a highquality 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 ytical modelling experience are also a plus. Critical thinking ss team working attitude and selfmotivation are required. Proficiency in English writing and speaking is also required.
Benefits
- Contract duration: 2 years for postdocs and 3 years for PhD students.
- Starting date: as soon as possible.
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 CollPerales (bcoll umh es) and Dr. Luca Lusvarghi (llusvarghi umh es). The subject of the email should be Positions on KnowledgeDriven 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.
Employment Type
Full Time
