
Master's Research Fellow – Conversational AI and Voice Analysis
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Brazil.
• Perform a comprehensive literature review focused on conversational AI and voice technologies.
• Discover technological gaps and opportunities for innovation.
• Analyze methods for extracting acoustic, linguistic, and behavioral features.
• Assess techniques for identifying communication states from audio data.
• Develop communication assessment models tailored for corporate settings.
• Design experimental frameworks and criteria for scientific validation.
• Create technical specifications aimed at product improvement.
• Assist engineering teams in converting research findings into functional features.
• Generate technical documentation and executive summaries.
• Regularly present insights and recommendations to the project team.
• A Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related discipline, with the degree already obtained.
• Profile suitable for a Data Scientist role.
• Familiarity with Machine Learning and Deep Learning concepts.
• Experience in researching and analyzing scientific literature.
• Knowledge of Large Language Models (LLMs) and AI agent frameworks.
• Understanding of audio and speech processing techniques.
• Proficient in Speech-to-Text (STT) technology.
• Proficient in Text-to-Speech (TTS) technology.
• Strong programming skills in Python.
• Experience with AI frameworks such as PyTorch, TensorFlow, or their equivalents.
• Understanding of Natural Language Processing (NLP).
• Experience in evaluating experimental models.
• Scientific publications relevant to AI, voice technologies, or NLP.
• Experience in Voice AI applications.
• Background in Speech Emotion Recognition.
• Experience in Human-Computer Interaction (HCI).
• Familiarity with conversational agents.
• Knowledge of prosodic analysis and acoustic signals.
• Experience in multimodal environments.
• Prior development of AI products or prototypes.
• Involvement in recognized research groups.
• Understanding of adult learning principles.
• Contributions to open-source projects within the field.
• Stipend: BRL 9,000.00
• Work from home / fully remote.
• Availability for 40 hours per week.
• Duration: 12 months.
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