Marie Sk?odowska-Curie PhD Fellowship in automotive audio signal processing

 
Published
WorkplaceLeuven, Flemish Region, Belgium
Category
Position

Description

Marie Sk?odowska-Curie PhD Fellowship in automotive audio signal processing

Blending audio signal processing and machine learning for automotive applications

A PhD research position is available in the KU Leuven Electrical Engineering Department (ESAT), in the frame of the H2020 MSCA European Industrial Doctorates (EID) project "Intelligent Ultra Low-Power Signal Processing for Automotive (I-SPOT)" under the supervision of Prof. Toon van Waterschoot and Prof. Marian Verhelst. The PhD candidate will carry out applied research in the interdisciplinary field of signal processing, acoustics, and machine learning. The research will be executed in an international team of audio signal processing researchers at the Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics of KU Leuven, and will involve an intense collaboration with the ESAT-MICAS research division at KU Leuven and a long-term research visit to the company Bosch in Germany. Initially a three-year MSCA Fellowship is offered, however it is anticipated that the position will be extended to a total of four years, which is the standard duration of a PhD research project at KU Leuven.

THE "I-SPOT" PROJECT Smart autos need to process and react to different types of stimuli from the surrounding environment. This data sensing and processing is performed with the support of different sensors, gathered data and the proper hardware platform to process the received data and react properly to the simuli whenever required. The I-SPOT project targets audio stimuli and considers two important challenges: processing and localisation of the audio signal based on traditional signal processing as well as deep learning methods.

The I-SPOT EID strongly values research integrity, actively supports open access and reproducible research, and strives for diversity and gender balance in its entire research and training program. The I-SPOT EID adheres to The European Charter for Researchers and The Code of Conduct for the Recruitment of Researchers.

carry out applied research on audio signal processing, involving algorithm design, implementation, and experimental validation;

monitor the work plan of her/his individual research project and make sure that milestones are achieved and deliverables are finalized in a timely manner;

actively participate in research meetings with the other I-SPOT EID researchers;

enroll in a doctoral training program at the Arenberg Doctoral School, and adhere to the doctoral school’s coursework requirements for PhD researchers;

perform a limited amount of teaching activities (max. 3h per week).

The Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics is part of the Electrical Engineering (ESAT) Department at KU Leuven and hosts over 100 researchers. The digital signal processing team headed by Prof. Marc Moonen and Prof. Toon van Waterschoot is a subgroup of the Stadius Centre, in which signal processing research is carried out in the context of audio, speech, acoustics, and communications applications. The digital signal processing team currently hosts about 20 international PhD and postdoc researchers and participates in several nationally and internationally funded research projects, ranging from fundamental research to industry-funded applied research.

The Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics is part of the Electrical Engineering (ESAT) Department at KU Leuven and hosts over 100 researchers. The digital signal processing team headed by Prof. Marc Moonen and Prof. Toon van Waterschoot is a subgroup of the Stadius Centre, in which signal processing research is carried out in the context of audio, speech, acoustics, and communications applications. The digital signal processing team currently hosts about 20 international PhD and postdoc researchers and participates in several nationally and internationally funded research projects, ranging from fundamental research to industry-funded applied research.

Candidates must hold a Master degree in Electrical Engineering, Computer Science, or Engineering Acoustics (or equivalent), have a solid mathematical background (e.g. in matrix algebra, numerical optimization) and have taken specialized courses in at least one of the following disciplines: digital signal processing, audio signal processing, machine learning. Candidates who are in the final phase of their Master program are equally encouraged to apply, and should mention their expected graduation date.

Research experience (e.g. through Master thesis work or research internships) in audio signal processing is considered a strong asset.

Excellent proficiency in the English language is required, as well as good communication skills, both oral and written.

Candidates must satisfy the eligibility conditions for MSCA Early Stage Researchers, i.e., they must have obtained their Master degree in the past 4 years and must not have resided or carried out their main activity (work, studies, etc.) in Belgium for more than 12 months in the past 3 years.

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR kuleuven.be.

Web

In your application, please refer to myScience.be and reference JobID 4106.


This site uses cookies and analysis tools to improve the usability of the site. More information. |