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Master's Research Fellow, Conversational AI Research, Voice Analytics
Sistema Fibra. Conduct a structured literature review on conversational AI and voice technologies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning, Deep Learning, and audio processing, with a strong focus on developing communication assessment models and conducting structured literature reviews in conversational AI. Proficient in Python and familiar with AI libraries, capable of translating research findings into practical applications.
Highest-signal resume keywords
Master's Degree in Data ScienceMachine Learning and Deep Learning KnowledgeProficiency in PythonExperience with Speech Emotion RecognitionKnowledge of STT and TTS
ATS Keywords
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Hard Skills
Machine LearningDeep LearningAudio ProcessingNLPSpeech Emotion RecognitionConversational AgentsExperimental Model EvaluationProsodic AnalysisAcoustic SignalsHuman-Computer Interaction
Soft Skills
Analytical SkillsCommunication SkillsCollaboration
Tools & Technologies
PythonPyTorchTensorFlowAI LibrariesVoice AI
Industry Keywords
Conversational AIVoice TechnologiesScientific PublicationsMultimodal EnvironmentsAdult Learning
Tech Stack
Tools & technologiesOpen SourcePythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Research stipend: BRL 9,000.00
- Remote work
- Availability to work 40 hours per week
- 12-month term