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Job ID: 256553

INESC TEC | Research Grant (AE2025-0187)
INESC TEC

Research Opportunities

Engineering

Work description

Study and implement a distributed architecture to support the execution of MLLMs. Propose solutions to evaluate trade-offs between computation, communication, and latency. Study the state of the art in MLLMs applicable to the task of analyzing industrial machine operations. Develop and optimize the computer vision pipeline. Create a performance evaluation system for the models. Document the developed solutions.

Academic Qualifications

Degree in Informatics, Electrical and Computer Engineering, Computer Science or similar.

Minimum profile required

Programming experience (Python, Go, others).

Preference factors

Experience in machine learning models, image processing, computer vision or machine learning, and particularly MLLMs, OR Experience in distributed systems and distributed workload management systems. Previous research experience.

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