BE-2026-001-KUL

Computer Science / Informatics in Belgium

Location

Belgium

Internship type

ON-SITE

Reference number

BE-2026-001-KUL

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

3

Fields of Study

Computer and Information Research
Artificial Intelligence
Machine Learning

Languages

English Good (B1, B2)

Required Knowledge and Experience

-

Other Requirements

Experience implementing neural network models in PyTorch or TensorFlow. Familiar with core deep learning concepts and voice/audio processing fundamentals

Work Details

Duration

12 - 18 Weeks

Within These Dates

01.04.2026 - 18.12.2026

Holidays

NONE

Work Environment

-

Gross pay

300 EUR / month

Working Hours

39.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

Trainee with the help of LC Brussels.

Cost of lodging

150 EUR / month

Cost of living

300 EUR / month

Work Offered

Additional Info

Trainees without EEA or Swiss nationality are eligible, provided their stay in Belgium does not exceed 90 days (including arrival and departure dates).

Work description

Goodix Technology Belgium is offering an open internship within the R&D team of the Audio Business Unit (AUDIO BU). Our group develops audio and speech solutions for mobile, wearable, and automotive applications. Machine learning—particularly deep neural networks—is central to tasks such as voice quality and intelligibility enhancement, spatial signal processing, source separation, and audio classification.The intern will carry out an independent, supervised project on one of these topics (e.g., voice enhancement or spatial audio processing). Responsibilities include performing a literature review, selecting and preparing datasets, implementing neural networks and loss functions in a Python framework (e.g., PyTorch or TensorFlow), training models on a cloud service, and analyzing experimental results. This hands-on internship lets the candidate apply theoretical knowledge to practical problems and address current challenges in audio processing.

Deadline

15.06.2026

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