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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

The awarding of the grant is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions.

Minimum profile required

Experience in Computer Vision and machine learning.

Preference factors

Experience in research projects, and writing of scientific papers.

Application Period

Since 17 Nov 2022 to 02 Dec 2022


Cluster / Centre

Networked Intelligent Systems / Telecommunications and Multimedia

Scientific Advisor

Ana Filipa Sequeira