Artificial intelligence and machine learning technician for the physical layer of 6G communication systems. (Ref. 30267390021)

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH; España; Presencial; EUR 20.000 - 32.000; A tiempo parcial

Descripción de la vacante

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH in Barcelona invites applications for a Researcher position in advanced wireless communications. The project focuses on machine learning for design of 6G physical layer schemes.

The role involves developing simulations, creating Sionna notebooks, and implementing ML-based signal processing techniques using Python and Matlab. Part-time, 30 hours per week, starting 1 Oct 2026.

Formación

• Design and programming of algorithms based on Machine Learning and neural networks for communications.
• Libraries focused on automatic learning in Python and/or Matlab (e.g., Sionna, Tensorflow, Keras).
• Experience in stays at research centers and international mobility is valued.
• Experience in writing publications in international journals and conferences.

Responsabilidades

• Carry out comparative simulations.
• Carry out the development of Sionna notebooks.
• Signal processing techniques and physical layer functionalities (e.g., modulation, coding and detection), multiple access (e.g. NOMA, RSMA, SDMA, etc.) and link in wireless communications systems.
• Programming in Python and/or MatLab.
• Carrying out simulations of communication systems at lower layers.
• Formulation of optimization problems and algorithms to solve them.

Conocimientos

Machine Learning

Neural networks

Python

Matlab

Herramientas

Sionna

TensorFlow

Keras

Descripción del empleo

Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Application Deadline 21 Sep 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 30267390021 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Mission:

Investigate the applicability of machine and deep learning techniques for the design of novel multiple access and physical layer schemes for 6G systems.

Functions to be developed:

• Carry out comparative simulations.
• Carry out the development of Sionna notebooks.
• Signal processing techniques and physical layer functionalities (e.g., modulation, coding and detection), multiple access (e.g. NOMA, RSMA, SDMA, etc.) and link in wireless communications systems.
• Programming in Python and/or MatLab.
• Carrying out simulations of communication systems at lower layers.
• Formulation of optimization problems and algorithms to solve them.

Specific Requirements

Knowledge:

• Design and programming of algorithms based on Machine Learning and neural networks for communications.
• Libraries focused on automatic learning in Python and/or MatLab (eg Sionna, Tensorflow, Keras).

Professional Experience:

• Have completed stays in research centers.
• Have carried out some international mobility.
• Have cooperated in the writing of scientific publications in internationally prestigious journals and conferences.
• Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and industrial environment.

Languages CATALAN Level Basic

Languages ENGLISH Level Good

Languages SPANISH Level Good

Research Field Engineering » Computer engineeringEngineering » Electrical engineeringEngineering » Communication engineering Years of Research Experience 1 - 4

Additional Information

Eligibility criteria

All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.

The CVs will be assessed according the following general criteria:

• The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
• Threshold: 5 points.
• The maximum score (10 points) will be distributed as follows:
• 1 point for required speciality.
• 2 points for required academic training.
• 2 points for technic competences.
• 1 point for organisational competences.
• 3 points for professional experience.
• 1 point for any aspect of the candidate’s professional profile to be determined as specially relevant by the Selection committee.

If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.

The interview will be assessed according the following criteria:

• Threshold: 3 points.
• The maximum score will be distributed according the following criteria:
• 2 points for adequacy to functional competences of the job.
• 2 points for adequacy of professional experience.
• 1 point for any aspect of the candidate’s professional profile to be determined as especially relevant by the Selection committee.

The eligible candidates will be ranked from highest to lowest score, being this the selection criteria.

Selection process

The planned selection process is as follows:

• The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
• Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
• Finally, the name of the person selected will be published on the same website where the offer is published.

Additional comments

Remember that the resume should not include any personal data or photographs.

Work Location(s)

Number of offers available 1 Company/Institute Department of Signal Theory and Communications (TSC) Country Spain State/Province Barcelona City Barcelona Postal Code 08034 Street Jordi Girona, 1-3 Geofield