Master Thesis Opportunity – Emotion Analysis in Public Transport Systems
vor 4 Wochen
Become a part of our innovative team as a Master's Student specializing in Engineering, Computer Science, or a related discipline, with an emphasis on Deep Learning and Audio Processing.
We are pleased to offer a unique opportunity for enthusiastic and skilled students to engage in the development of emotion recognition models. This role merges research responsibilities with a Master's thesis in the specified fields. We seek a driven and creative individual to leverage their knowledge to propel our research forward.
- Conduct investigations into speech emotion detection and time-frequency characteristics, alongside Deep Learning methodologies.
- Gather and document data meticulously, ensuring the quality and integrity of the information.
- Design and refine algorithms and models aimed at real-time emotion detection, prioritizing robustness and precision.
- Work collaboratively with interdisciplinary teams to create multimodal solutions for emotion recognition.
Qualifications:
- Currently enrolled in a Master's program in Engineering, Computer Science, Automotive Engineering, or a related area, focusing on speech or image processing and machine learning.
- Proficient in audio and speech signal processing, feature extraction, and time-frequency analysis.
- Strong programming skills in Python.
- Fluent in English or German.
- Familiarity with Deep Learning frameworks (e.g., PyTorch, TensorFlow, Keras) and collaborative software development tools (e.g., Git).
Desirable Skills:
- Understanding of integrating various data modalities, such as audio and video.
- Knowledge of statistical techniques for analyzing and interpreting the connections between features and emotional states.
- Capability to optimize model hyperparameters for enhanced performance, including adjustments to learning rates, batch sizes, filters, and epochs.
- Initial exposure to classification and regression models.
The compensation is aligned with our collective agreement, ensuring a competitive monthly salary.
About Us:
At IAV, students engage in real-world projects, tackling exciting future challenges while collaborating closely with industry experts. This role offers significant responsibility and autonomy, allowing for a seamless integration of academic and professional pursuits, thereby fostering excellent prospects for career development. We are committed to diversity and equal opportunities, emphasizing the unique personality and strengths of each individual.
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