Master's Research Fellow – Conversational AI and Voice Analysis

• Conduct a structured literature review on conversational AI and voice technologies
• Identify technological gaps and innovation opportunities
• Analyze methods for extracting acoustic, linguistic, and behavioral features
• Evaluate techniques for detecting communication states from audio
• Propose communication assessment models for corporate environments
• Design experiments and scientific validation criteria
• Prepare technical specifications for product enhancement
• Support engineering teams in translating findings into features
• Produce technical documentation and executive reports
• Periodically present findings and recommendations to the project team

• Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field, with the degree completed
• Data Scientist profile
• Knowledge of Machine Learning and Deep Learning
• Experience searching for and analyzing scientific papers
• Familiarity with LLMs and AI agent architectures
• Knowledge of audio and speech processing
• Knowledge of STT (Speech-to-Text)
• Knowledge of TTS (Text-to-Speech)
• Proficiency in Python
• Knowledge of AI libraries (PyTorch, TensorFlow, or equivalent)
• Knowledge of NLP
• Experience with experimental model evaluation
• Scientific publications related to AI, voice, or NLP
• Experience with Voice AI
• Experience with Speech Emotion Recognition
• Experience in Human-Computer Interaction (HCI)
• Experience with conversational agents
• Knowledge of prosodic analysis and acoustic signals
• Experience with multimodal environments
• Previous development of AI products or prototypes
• Participation in recognized research groups
• Knowledge of adult learning
• Contributions to open-source projects related to the field

• Stipend: BRL 9,000.00
• Work from home / fully remote
• Availability for 40 hours per week
• Duration: 12 months