Audio ML Thesis: Real-World Data, Real-Time Detection

Embodied AI; Zürich; Hybrid; CHF 20.000 - 27.000; Teilzeit

Benefits dieser Stelle

Paid Master thesis

Own Topic

Real Attack Data

Weekly Supervision

Hybrid setup

Zusammenfassung

Aurigin.ai, a Zurich-born startup, invites MSc students to propose an audio ML thesis or internship. We seek a concrete idea in audio, speech, or signal processing, with strong Python and ML skills, ideally PyTorch, and fluency in English.

You'll work with real attack data and a detector running in production, constrained to under 50 ms latency and a measured false alarm rate. Expect weekly supervision and a flexible hybrid setup with two days in Zurich.

Qualifikationen

• Pursuing or recently finished MSc in CS/EE/ML.
• Concrete idea in audio, speech, or signal processing.
• Strong Python and ML, ideally PyTorch.
• Willing to argue for your idea and iterate.

Aufgaben

• Send a proposal detailing the question, significance, approach, and success criteria.
• Shape the scope and feasibility with the team, settle on a final version.
• Run experiments, ablations, and honest evaluation with supervision.
• Test against real conditions using production-like data and latency limits.
• Deliver a thesis/report and code compatible with our stack.

Kenntnisse

Python

PyTorch

Audio processing

English

Ausbildung

MSc in CS/EE/ML

Tools

PyTorch

Jobbeschreibung

Aurigin.ai, a Zurich-born startup, invites MSc students to propose an audio ML thesis or internship. We seek a concrete idea in audio, speech, or signal processing, with strong Python and ML skills, ideally PyTorch, and fluency in English.

You'll work with real attack data and a detector running in production, constrained to under 50 ms latency and a measured false alarm rate. Expect weekly supervision and a flexible hybrid setup with two days in Zurich.