DSP Intern

ARTURIA; Montbonnot-Saint-Martin; Sur place; EUR 10 000 - 16 000; Plein temps

Résumé du poste

ARTURIA in Grenoble invites an internship focused on advanced modeling of Voltage Controlled Filters (VCF) for synthesizers. You will compare iterative solvers and machine learning approaches, exploring zero-delay feedback methods and their performance.

The role requires strong DSP knowledge, Python experience, and good English in an international team; some C++ exposure is a plus for potential real-time implementations.

Qualifications

• Master’s degree or engineering school internship (final year).
• Strong knowledge in DSP and Virtual Analog modeling.
• Good knowledge in electrical engineering.
• Experience in Python; some experience in C++ for real-time implementation.
• Good command of English.

Responsabilités

• Study use-case example of a VCF requiring zero-delay feedback modeling.
• Test and compare a set of non-linear solvers, from iterative to machine learning solutions.

Connaissances

DSP knowledge

Virtual Analog modeling

Python programming

C++ (basics)

English communication

Formation

Master’s degree

Engineering degree

Description du poste

Job Description

Voltage controlled filters (VCF) are essential elements of any synthesizer. Their Virtual Analog models often need to use zero delay feedback methods which can have a high computational cost. In this internship, you will be tasked with studying state-of-the-art methods for modeling Voltage Controlled Filters (VCF). After a deep study of the electrical circuit, several approaches will need to be tested. First, the use of iterative solvers to solve the ordinary differential equation (ODE) such as Newton-Raphson, Steffensen, Rosenbrock-wanner… A deep comparison between their accuracy and their performance will be expected. Previous work in our team showed that Machine learning methods could replace the use of iterative solvers, for instance in the wave digital domain. This work will need to be generalized to the case-study VCF of this internship, and compared to the iterative solvers results.

Internship Objectives

• Study of use-case example of a VCF which require zero-delay feedback modeling (Sh-101 ladder filter, SEM VCF, …)
• Test and compare a set of different non-linear solvers, from iterative to machine learning solutions

Requirements

• Master’s degree or Engineering school internship (final year)
• Strong knowledge in general DSP. Experience in Virtual Analog modeling would come in handy.
• Good knowledge in electrical engineering.
• Experience in Python programming. Some experience in C++ would be a plus for a real-time implementation.
• Good command of English, as the team is international and discussions are mostly done in English.

Conditions

• 5 – 6 months

Location

Grenoble (Montbonnot-Saint-Martin), accessible by public transportation.

we value diversity in our workforce and are committed to equal opportunity and inclusion. This position is open to everyone.