PhD position Hardware-Aware AI for 6G

Delft University of Technology (TU Delft), Netherlands

Updated: 28 days ago
Deadline: 19 Apr 2024

29 Mar 2024
Job Information
Organisation/Company

Delft University of Technology (TU Delft)
Research Field

Technology
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

19 Apr 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Join 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. Click here for more information about the alliance and an overview of all PhD positions

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
Specific Requirements

Become 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. Proficiency in English is essential, as you'll collaborate within a diverse, international community. For more details on our admission requirements, please visit https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . 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 Graduate Schools Admission Requirements .


Additional Information
Benefits

Doctoral 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 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.


Selection process

To 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 https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/software-techno… . 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 comments

    For further information regarding the Dutch 6G Future Network Services (FNS) project, please visite our webpage

    For any questions regarding this PhD position, please contact: Dr. Qing Wang, [email protected] .


    Website for additional job details

    https://www.academictransfer.com/339655/

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Delft University of Technology
    Country
    Netherlands
    City
    Delft
    Postal Code
    2628 CD
    Street
    Mekelweg 2
    Geofield


    Where to apply
    Website

    https://www.academictransfer.com/en/339655/phd-position-hardware-aware-ai-for-6…

    Contact
    City

    Delft
    Website

    http://www.tudelft.nl/
    Street

    Mekelweg 2
    Postal Code

    2628 CD

    STATUS: EXPIRED

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