
PhD Research Fellow, Intelligent Search, Recommendation and Procurement Optimization
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Brazil.
• Assess and analyze the existing search system at Mercado IGA, focusing on ranking algorithms, semantic search, and relevance of results.
• Create models for clustering similar offers to enhance the Buy Box feature and facilitate vendor comparisons.
• Develop conceptual search frameworks that can convert purchasing intents into organized product collections.
• Design automated solutions for cart generation from various sources, including lists, commercial proposals, or natural language inputs.
• Construct multi-criteria optimization models to suggest cart configurations based on factors like lowest cost, shortest delivery time, or minimal supplier involvement.
• Completed PhD or currently enrolled in a PhD program.
• Doctorate in fields such as Computer Science, Data Science, Computer Engineering, Engineering, Information Systems, Artificial Intelligence, Natural Language Processing, Applied Mathematics, or related disciplines.
• Relevant practical or academic experience with search systems, ranking methodologies, or recommender systems.
• Expertise in Python for modeling, AI, optimization, or data science tasks.
• Familiarity with embeddings, vector search, or similarity techniques.
• Background in optimization algorithms or operations research.
• Understanding of multi-agent systems or intelligent agent frameworks.
• Capability to model decision-making scenarios involving multiple criteria and constraints.
• Willingness to commit to 40 hours per week.
• Previous experience in marketplace, e-commerce, procurement, or supply chain (preferred).
• Knowledge of Buy Box mechanics, product matching, item recommendations, or cart optimization (preferred).
• Understanding of multi-criteria optimization (preferred).
• Familiarity with Elasticsearch, Typesense, or comparable search technologies (preferred).
• Knowledge of graphs, ontologies, or semantic product representations (preferred).
• Publications, research, or applied projects related to recommendation systems, optimization, agents, or intelligent search (preferred).
• Stipend of BRL 9,000 for PhD candidates or BRL 11,000 for those with completed PhDs.
• Fully remote work opportunity.
• Commitment of 40 hours per week.
• Contract duration of 12 months.
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