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Research Opportunity
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Research Opportunity



Work description

- push forward the state of the art knowledge in machine learning regarding methods for neural networks complexity reduction; - development of methods for the evaluation of biases, fairness, overestimation and related metrics; - study, development and comparison of diverse approaches to reduce the complexity of neural networks; - development of benchmarking approaches that go beyond the traditional Accuracy vs Complexity trade-off; - exercise critical thinking in evaluating the research process and the results obtained.

Academic Qualifications

Students enrolled in a professional higher technical course, in a degree, in an integrated master's degree or in a master's degree.

Minimum profile required

Minimum or equal grade of 16 in the Bachelor studies.

Preference factors

Experience in Computer Vision and Machine Learning.

Application Period

Since 17 Nov 2022 to 02 Dec 2022


Cluster / Centre

Networked Intelligent Systems / Telecommunications and Multimedia

Scientific Advisor

Ana Filipa Sequeira