PhD Research Fellow, Intelligent Search, Recommendation and Procurement Optimization

Job not on LinkedIn

🕒 August 8

🇧🇷 Brazil – Remote

💵 R$9k - R$11k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 19%

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Instituto Euvaldo Lodi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1969

🤝 B2B

📚 Education

💼 Consulting

B2B • Education • Consulting

IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.

📋 Description

• Map and evaluate the current search system of Mercado IGA, including ranking mechanisms, semantic search, and result relevance. • Develop models for clustering equivalent offers to support the Buy Box and vendor comparison. • Create conceptual search mechanisms capable of transforming purchasing intents into structured product sets. • Develop automated cart-generation solutions from lists, commercial proposals, or natural language descriptions. • Build multi-criteria optimization models to recommend cart compositions considering lowest cost, shortest lead time, or fewest suppliers.

🎯 Requirements

• PhD completed or currently pursuing. • PhD in Computer Science, Data Science, Computer Engineering, Engineering, Information Systems, Artificial Intelligence, Natural Language Processing, Applied Mathematics, or related fields. • Practical or academic experience with search systems, ranking, or recommender systems. • Proficiency in Python applied to modeling, AI, optimization, or data science. • Knowledge of embeddings, vector search, or similarity mechanisms. • Experience with optimization algorithms or operations research. • Knowledge of multi-agent systems or intelligent agent architectures. • Ability to model decision problems considering multiple criteria and constraints. • Availability for 40 hours per week. • Prior experience in marketplace, e-commerce, procurement, or supply chain (desirable). • Experience with Buy Box, product matching, item recommendation, or cart optimization (desirable). • Knowledge of multi-criteria optimization (desirable). • Experience with Elasticsearch, Typesense, or similar search technologies (desirable). • Knowledge of graphs, ontologies, or semantic product representations (desirable). • Publications, research, or applied projects in recommendation, optimization, agents, or intelligent search (desirable).

🏖️ Benefits

• Stipend of BRL 9,000 (PhD candidate) or BRL 11,000 (PhD completed) • Remote (fully remote) • 40 hours per week • Duration: 12 months

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