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  • INESC TEC | Research Grant (AE2024-0133)
    CTM
    INESC TEC

    Research Opportunity


    Engineering


     


    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 04 Apr 2024 to 18 Apr 2024


     


    Centre


    Telecommunications and Multimedia


     


    Scientific Advisor


    Ana Filipa Sequeira


     


    For more information click here


 


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