Phd Position Embedded Ai for 6g Networks
2 maanden geleden
PhD Position Embedded AI for 6G Networks-
Join the Dutch 6G flagship project to help shape the future of communications
Job description
6G networks will utilise frequencies from sub 6 GHz to mmWave and THz bands, thereby substantially increasing the number as well as the heterogeneity of the required base stations. This complexity is further exacerbated by (1) the emergence of new network architectures like cell-free networks, (2) novel network services, such as joint communication and sensing, and (3) the evolution to space-air-ground networks. Amidst this complexity, edge AI emerges as a promising solution directly integrated into hardware devices at the edge. Your PhD research revolves around optimising these AI algorithms for base stations with different hardware and computing capabilities. Work on advanced edge/embedded AI models tailored for managing the densely packed frequency bands in 6G networks, and enabling seamless connectivity across space, air, and ground base stations. Your work takes a novel approach by co-designing these models alongside the hosting hardware, ensuring optimal performance and scalability. The result? Hardware-aware, adaptable AI models attuned to the dynamic nature of 6G networks, adjusting model complexity based on available computing resources.
Your home base will be the Embedded Systems group, where you will be supervised by Dr. Qing Wang. You will also receive guidance from Prof. Fernando Kuipers and the Networked Systems group. Hence, you will have ample support and opportunities for riveting sparring and knowledge sharing.
**Requirements**:
Conditions of employment
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
Challenge. Change. Impact
Faculty Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Additional information
For further information regarding the Dutch 6G Future Network Services (FNS) project, please visite our webpage
Application procedure
- Motivation letter.
- Detailed CV.
- Copies of your BSc and MSc degrees and transcripts.
- Names and contact information of at least three relevant references. We will not contact references without your consent.
- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for unsolicited services.
- FACULTY/DEPARTMENT***
**Faculty of Electrical Engineering, Mathematics & Computer Science**:
- JOB TYPE***
**PhD**:
- SCIENTIFIC FIELD***
**Engineering**:
- HOURS PER WEEK***
**36-40**:
- SALARY***
**see vacancy text**:
- DESIRED LEVEL OF EDUCATION***
**University graduate**:
- VACANCY NUMBER***
**TUD04784**:
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