Doctoral Fellow – Data Analysis, Generative AI, Multi-agent, Analytics

Job not on LinkedIn

🕒 December 18, 2025

🇧🇷 Brazil – Remote

💵 R$11k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 50%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sistema Fibra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

🤝 B2B

🤝 Non-profit

📚 Education

B2B • Non-profit • Education

Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.

📋 Description

• Multi-agent architecture for forming a Data & Analytics squad • Standardized validation methodology for LLMs on complex tasks • Software development methodology integrating AIs and LLMs • Study on the impact of using multi-agent Data & Analytics systems on productivity; case study in the investment domain.

🎯 Requirements

• Fellow profile: Tech 4 - Doctorate • Education: Ph.D. • Degrees: Computer Science, Computer Engineering, Systems Analysis and Development • Required knowledge: Python; Descriptive statistics; Data visualization; Analytics; Generative AI models; RAG (retrieval-augmented generation); Data science • Desired knowledge: Agile methodology; Development of statistical models with Machine Learning; Knowledge of investment products; Data engineering experience.

🏖️ Benefits

• Availability: 40 hours per week • Duration: 12 months