FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Master's Research Fellow – Conversational AI and Voice Analysis
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 and evaluating AI-driven communication models. Proficient in Python and familiar with AI libraries, capable of translating research findings into practical applications in corporate environments.
Highest-signal resume keywords
Master's Degree in Data ScienceKnowledge of Machine LearningProficiency in PythonExperience with Voice AIKnowledge of STT and TTS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningAudio ProcessingNLPSpeech Emotion RecognitionConversational AgentsExperimental Model EvaluationProsodic AnalysisAcoustic SignalsHuman-Computer Interaction
Soft Skills
Analytical ThinkingCommunication SkillsCollaboration
Tools & Technologies
PythonPyTorchTensorFlowAI Libraries
Industry Keywords
Conversational AIVoice TechnologiesTechnical DocumentationScientific PublicationsMultimodal Environments
Tech Stack
Tools & technologiesOpen SourcePythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Stipend: BRL 9,000.00
- Work from home / fully remote
- Availability for 40 hours per week
- Duration: 12 months