PhD Position AI/ML Algorithms for 6G Telemetry Systems

Job title:

PhD Position AI/ML Algorithms for 6G Telemetry Systems

Company:

Job description

Offer DescriptionJoin the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.6G aspires to connect seamlessly new types of user devices ranging from IoT nodes and wearables to drones and autonomous vehicles; to leverage new types of technologies/interfaces; and to fully-integrate in its fabric vertical / application-level mechanisms. This unprecedentedly complex ecosystem calls for a clean-slate approach in the design of network monitoring and telemetry analysis solutions. These tools need to be able to run at real-time, enable extremely accurate inferences, and at the same time reduce data collection / processing costs and overheads. There is wide consensus that the role of network telemetry will be pivotal in optimizing the performance of 6G, yet it remains unclear how to achieve this promise.Your PhD pursuit aims to pioneer AI/ML algorithms for tackling this problem heads on through the design of zero-touch monitoring, telemetry analysis and controlling of 6G communication systems. You will leverage state-of-the-art AI/ML techniques such as Reinforcement Learning, Deep Learning, Bayesian Learning and Federated/Split Learning to design 6G telemetry mechanisms with extremely high inference accuracy and minimal overheads; and further explore the potential of emerging AI paradigms, such as Generative AI and Neurosymbolic AI for the design of the next generation of telemetry solutions. These AI/ML tools will be tested in practice, using TU Delft’s cutting-edge programmable networkThis position lies at the nexus of 6G and AI/ML and offers the unique opportunity to collaborate with, and learn from, experts in academia and industry, towards putting theory in practice and delivering holistic and realistically tested solutions. Ideal candidates will be interested in mastering AI/ML algorithms (theory and testing), and deep-diving in 6G architecture and management solutions, including programmable networks.You’ll be joining the Networked Systems group: an internationally diverse and thriving team, providing ample opportunities for riveting sparring and knowledge sharing. Fostering a highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate closely with various partners in pursuit of integrating the developed next-generation telemetry systems into the 6G digital twin, proof-of-concept solutions, and 6G demos.RequirementsSpecific RequirementsBecome part of an expansive ecosystem shaping the development of 6G. You will benefit from training in 5G and beyond networks, AI, and software development. Plus, you will gain exclusive access to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial endeavours.Are you ready to challenge yourself? We’re seeking candidates who have, or are about to receive, a Master-of-Science degree in a relevant computer science discipline. We’ll evaluate based on your academic record, interviews, and possibly assignments. While a strong background in the field is crucial, what matters as well is your creative flair, motivation, and above all, your passion for comprehensive research!Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the .Additional InformationBenefitsDoctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.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 . 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 for partners and they organise events to expand your (social) network.Selection processTo apply, please complete the application form and add the following documents to your application: * 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.

Within the FNS project, there are multiple PhD positions available, see . Please apply to only one of them. We will contact you in case we would like to consider you for any of the other positions.Applications will be evaluated as they come in, so please apply as soon as possible.

• A pre-employment screening can be part of the selection procedure.
• You can apply online. We will not process applications sent by email and/or post.
• Please do not contact us for unsolicited services.

Additional commentsFor further information regarding the Dutch 6G Future Network Services (FNS) project, please visiteFor any questions regarding this PhD position, please contact: Prof. dr. ir. Fernando Kuipers ( ). Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Delft University of Technology Country Netherlands City Delft Postal Code 2628 CD Street Mekelweg 2 GeofieldWhere to apply WebsiteContact CityDelft WebsiteStreetMekelweg 2 Postal Code2628 CDSTATUS: EXPIRED

Expected salary

€2770 per month

Location

Delft, Zuid-Holland

Job date

Mon, 06 May 2024 00:00:36 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesin.eu) you saw this job posting.