Master's Research Fellow, Conversational AI Research, Voice Analytics

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

• Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field, with the degree completed
• 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
• Availability to work 40 hours per week
• Scientific publications related to AI, voice, or NLP
• Experience with Voice AI
• Experience with Speech Emotion Recognition
• Experience with 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

• Research stipend: BRL 9,000.00
• Remote work
• Availability to work 40 hours per week
• 12-month term