DTIC-PLCT-2024-57 - Specialist support technician for ML-defined Radio: Wireless Networks and Reinforcement Learning

Description

Project description: Research Assistant position in the area of wireless communications and machine learning. In particular, the selected candidate will perform research activities related to the MLDR (A Machine Learning Defined Radio interface) project. In the MLDR project, we aim to build a new, clean-slate AI/ML-Driven Radio (MLDR) interface. This new MLDR interface will learn to communicate by selecting and configuring the set of communication protocols and functionalities that better suit every particular use-case and scenario, thus satisfying the aforementioned hard performance requirements and efficiently using the available spectrum resources.

Main research field: Wireless Networks

Tasks to be performed:

• Study of the state of the art in the field of wireless networks (e.g. Wi-Fi) and Machine Learning. In particular, to study how multi-AP coordination functionalities can be improved through machine learning techniques. This activity is related to Work Package 1 of MLDR.

• Development, implementation and evaluation of communication and network functionalities such as multi-AP coordination within the framework of the architecture proposed in the MLDR project. This activity is related to Work Packages 2 and 3 of MLDR.

• Development and implementation of machine learning algorithms to improve the operation of multi-AP coordination. This activity is related to Work Packages 2 and 3 of MLDR. 

• Contribution to the writing of deliverables and scientific publications that are developed within the framework of the MLDR project. This activity is related to Work Package 5 of MLDR.

The duration of these tasks is estimated over a period of 12 months.

Group and complement: Group 3 Level u

Dedication and working hours: Part time (30h/week).

Planned remuneration approx: 24.579,66 € gross per year

Financing fund: Proyecto PRESP07423 - PCI2023-145958-2/AEI/10.13039/501100011033/UE - BELLALTA, Boris, “A Machine Learning-Driven Radio Interface”, financiado por MICIU/AEI /10.13039/501100011033 y Cofinanciado por la Unión Europea.

This recruitment is financed by the Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023.

Qualifications

Requirements: 

• High school-FP2.

The expected start date is December 15th 2024, the job is in Barcelona.

Selection criteria: The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows:

• Academic Training (0-40 points).

• Degree and Master's degree in Engineering in areas related to networks (telecommunications, electrical engineering, or IT) or artificial intelligence. In case the candidate has not completed the master's studies, it will be assessed whether he is doing the final master's thesis or similar, and its subject.

• Other professional training and experience, adequacy to the proposed profile (0-40 points):

• Extensive knowledge of wireless networks in general, and Wi-Fi in particular.

• Extensive knowledge in artificial intelligence and machine learning.

• High level of programming in Matlab, Python and/or C.

• Experience in using simulation/experimentation for research in the areas of networks and communications.

• Proven experience in performance evaluation techniques, analysis, simulation and experimentation.

• Other merits (0-20 points).

The minimum score to pass the selection process is 80 points. The candidate with the highest score in the selection process will be offered the job.

Application Instructions

BASIC INFORMATION ON DATA PROTECTION: 

Data Controller: Universitat Pompeu Fabra

Purpose: Research support staff recruitment.

Rights: You can access your data; request their rectification, deletion and portability; you may object to their processing and request their limitation.

Additional information: Further detailed information is available on the website: https://www.upf.edu/web/personal/proteccio-de-dades-pas1

Equal Employment Opportunity Statement

UPF promotes a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation.