Research Opportunities

Engineering

Work description

• Study the state of the art in mapping approaches for CGRA via AI methods and conventional methods.
• Familiarizing with existing methods in the working group for converting ONNX models to dataflow graphs (DFGs), compiling via MLIR, and co-simulating RISC-V + CGRA.
• Determine the representations for the DFG and CGRA architectural specifications most suitable for use in machine learning methods.
• Design and implement a machine learning-based method for mapping DFGs to the target CGRA architecture.
• Generation of the configurations resulting from this mapping, and the programs for execution (via simulation) on the final RISC-V + CGRA system.
• Collaboration in writing scientific articles to disseminate the results.

Academic Qualifications

• Master's degree in electrical engineering, computer science, or related field.

Minimum profile required

• Experience in hardware design or heterogeneous systems.
• Fluent in Portuguese and English (written and spoken).

Preference factors

• RISC-V and/or MLIR experience.
• Familiarity with ONNX and/or ML / AI frameworks.
• Fluent in English (written and spoken).

Application Period

Since 30 Jan 2025 to 12 Feb 2025

Centre

Telecommunications and Multimedia

Scientific Advisor

Nuno Miguel Paulino

What we offer

• Multicultural and collaborative environment
• A multicultural, international and collaborative environment that makes it easier to exchange ideas, work in networks and create synergies.
• International projects
• The possibility of working in international projects with some of the most important companies in the field.
• Mentoring
• Mentoring with the best researchers in the fields of electrical and industrial engineering, bioengineering, information technology and physics.
• Self Improvement
• The possibility of participating in international conferences, workshops, seminars and vocational training.
• Other Benefits and Perks
• Flexible working time, health insurance, discounts in hotels, transportation, etc.
• Informal Events
• Annual informal events, such as the multicultural party.

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