PhD student position

Chalmers Tekniska Högskola AB / Högskolejobb / Göteborg
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PhD student position in Optical midhaul for cell-free 6G networks

This PhD position is sponsored by the Marie Curie Doctoral Network EMPOWER-6G funded by the European Commission.
The EMPOWER-6G projects aim to propose a new converged optical-wireless architecture for efficient 6G Cell-Free (CF)-based access networks that can support advanced user services such as holographic telepresence, advanced AR/VR, massive digital twinning, and flying networks.

The position is a collaboration between Chalmers University of Technology and Infinera in Germany.
The candidate will have a unique opportunity to experience academic and industrial environments by spending 18 months at the Optical Networks (ON) group at Chalmers and 18 months at Infinera premises.
Additionally, the candidate will build a solid professional network by leveraging the EMPOWER-6G partner network, which includes: IQUADRAT (coordinator), the National Technical University of Athens, the Universitat Oberta de Catalunya, ISI Athena, the Katholieke Universitet Leuven, IS-WIRELESS, NVIDIA, and SIAE Microelettronica.

Project description
The PhD topic focuses on developing next-generation metro-access optical networks supporting 6G mobile networks.
The candidate will be responsible for optimizing the performance of such systems and designing and evaluating network scenarios where transceivers use a transmission scheme based on digital subcarrier multiplexing to create coherent point-to-multipoint optical networks.
The candidate's work will touch upon topics such as resource optimization strategies, reduction of energy consumption, and backhaul or fronthaul capacity management using meta-heuristic and machine learning (ML) techniques.

The work will involve a combination of analytical and numerical analyses, techno-economic studies, and, where possible, experiments.

Information about the division and the department
At the Department of Electrical Engineering, research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering.
Our knowledge is of use everywhere where there is advanced technology with integrated electronics.
We work with challenges for a sustainable future in today's society, for example, in the growing demands concerning efficient communication systems.

The Communications, Antennas, and Optical Networks (CAOS) division is involved in advanced research covering various communication infrastructure aspects.
The Optical Networks (ON) group focuses on research areas such as network design and performance optimization, control and management, fiber access and mobile transport networks, network sustainability, reliability, security, and survivability, as well as converged fiber-wireless networks.

Major responsibilities
• Optimize network design and service provisioning strategies' performance (including economic aspects) in metro/access aggregation and 6G-fronthaul scenarios where digital subcarrier multiplexed optical systems are used.
• Explore methods/strategies to enhance the functionality and performance of digital subcarrier multiplexed optical networks.
• Work collaboratively with other forward-thinking team members and external researchers from academia and industry.
• Write and present internal and public reports such as deliverables and milestones.
• Write and present technical papers internally and in high-impact journals and conferences (e.g., from IEEE and OPTICA).

Qualifications
Mandatory experiences and skills:

• ) A master's degree corresponding to at least 240 higher education credits in Electrical Engineering, Computer Science, or similar fields.
• ) Deep understanding of networks and communication systems.
• ) Fundamental understanding of the main concept related to network control and management (SDN, NFV, etc.).
• ) Excellent verbal and written communication skills. The candidate must be able to clearly convey the information regarding the investigation procedure and result analysis in detail.
• ) Programming experience in Matlab, Python, Julia, or similar. The candidate must be able to develop their own simulation tool(s) to carry out the necessary performance assessment.
• ) Highly attentive to detail, motivated, and possessing troubleshooting skills.
• ) Proficiency in applying AI/ML methods to the management and operation of communication infrastructures

Meritorious experiences and skills:
• ) Knowledge of network algorithms and optimization
• ) Knowledge of optical networks and photonic technologies
• ) Publications in peer-reviewed international conferences or journals.

The position requires sound verbal and written communication skills in English.
If Swedish is not your native language, Chalmers offers Swedish courses.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
To apply, please go to: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12408

Application deadline: 15 February, 2024

For questions, please contact:
Prof. Paolo Monti, CAOS, mpaolo@chalmers.se
Dr. Carlos Natalino, CAOS, carda@chalmers.se

• ** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

Ersättning
enligt kollektivavtal

Så ansöker du
Sista dag att ansöka är 2024-02-15
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Chalmers Tekniska Högskola AB (org.nr 556479-5598)

Jobbnummer
8322734

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