PhD/Postdoc on AI/ML empowered 6G Network Design

PhD/Postdoc on AI/ML empowered 6G Network Design

Published Deadline Location
4 Jan 17 Mar Eindhoven

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Job description

About the Project:

Future Network Services(https://www.nationaalgroeifonds.nl/overzicht-lopende-projecten/thema-veiligheid-en-digitalisering/6g-future-network-services ) is the Dutch 6G flagship project enabling a partnership between multiple Dutch Research Institutes/Universities and leading industry partners in the 5G/6G space. The FNS project bring together the best amongst Dutch academia, ICT industry, telecom operators, semiconductor companies and the public research organizations. The overarching aim of FNS project is to innovate breakthrough technologies for end-to-end  6G networks that includes intelligent antennas, joint communications and sensing , AI-driven radio access and core networking (RAN and CN) and the development of the so-called killer- applications. In the FNS project, different aspects of 6G will be investigated through three program lines(PL), namely; Intelligent Components (PL1), Intelligent Networks(PL2) and leading applications(PL3).  By integrating all these aspects of 6G technologies, FNS project aims to develop intelligent, reliable and sustainable 6G networks. Apart from the research and development, preparation for the global standardization of 6G technologies is also an important aspect of FNS project.

About the vacancies:

Under the Intelligent Networks program line, we have two vacancies(one PhD/Postdoc position and one PhD position) at TU Eindhoven. The main objective for these positions is to work on the cloud-native, open, disaggregated and AI-centric design of RAN architecture and control aspects. There will be ample opportunities to collaborate within the FNS consortium representing researchers from the leading institutions at the forefront of 6G mobile networks. The key tasks include but not limited to:

Position-1 (PhD/Postdoc)-Multi-cloud 6G Networks Orchestration.
  1. Requirement specifications for the cloud- and AI-native 6G network architecture interfaces.
  2. 6G network architecture design considering multi-cloud (public/private) implementation with focus on interoperability.
  3. Resource allocation for Network Slicing in multi-cloud 6G networks considering disaggregated deployment of RAN functionalities, e.g., distributed massive MIMO.
Position-2 (PhD)-  AI/ML model optimization for 6G Networks
  1. Optimized AI/ML induction in 6G network design.
  2. Conflict resolution among different AI/ML models optimizing RAN, e.g., considering different Open-RAN xAPPs with conflicting objectives on RAN parameter tuning.
  3. Development of AI/ML model testing framework for safe deployment of AI/ML models in 6G RAN.

Specifications

Eindhoven University of Technology (TU/e)

Requirements

Minimum qualifications
  1. A MSc degree (first class honors or equivalent) in Electrical Engineering, Computer Science or Telecommunications engineering.
  2. A good understanding of 5G-and-beyond Radio Access Networks concepts such as RAN disaggregation, network slicing and network function virtualization.
  3. Knowledge of machine learning and mathematical optimization techniques.
  4. Familiar with open source platforms for 5G RAN/CN implementation (OAI, srsRAN, etc.).
  5. Programming experience in Python and/or C++ and interest/experience in cloud-native approaches such as containerization, DevOps, CI/CD, etc.
  6. A team player who is willing to work in a multi-cultural and international environment.
  7. A good level of English knowledge skills.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

as a PhD:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

as a Postdoc:
  • Full-time temporariy employment.
  • Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €3,877 max. €5,090).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs on general skills, didactics and topics related to research and valorization.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • Partially paid parental leave and an allowance for commuting, working from home and internet costs.
  • A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
  • A Staff Immigration Teamis available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
     

Specifications

  • PhD; Postdoc
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V36.7173

Employer

Eindhoven University of Technology (TU/e)

Learn more about this employer

Location

De Rondom 70, 5612 AP, Eindhoven

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