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  • INESC TEC | Research Grant (AE2025-0422)
    CRACS
    INESC TEC

    Research Opportunities


    Computer Science


     


    Work description



    1. Test GAN models: Compare leading GANs for tabular data, focusing on fairness and attribute consistency.

    2. Try LLMs: Use open-source LLMs with prompts adapted for generating tables.

    3. Compare quality: Check how well the synthetic data matches real data and supports predictive tasks.

    4. Create new metrics: Design metrics that combine statistical similarity with task performance.

    5. Publish results: Write and submit a paper to a conference or journal.


     


    Academic Qualifications



    • BSc in Computer Science, Computer Engineering or similar


     


    Minimum profile required



    • Enrolled in a Master’s program in the relevant admission area.

    • Knowledge of Machine Learning techniques.


     


    Preference factors



    • Enrolled in dissertation, project, or another course unit leading to the thesis writing.

    • Grade average above 16.

    • Proven practical experience in programming with R and RStudio.

    • Knowledge of Data Visualisation and Multivariate Analysis.


     


    Maintenance stipend: € 1040.98, according to the table of monthly maintenance stipend for FCT grants, paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50% of the monthly maintenance stipend.


     


    INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms established in the internal document: "Payment of Tuition fees to grant holders".


     


    The grant holder will benefit from health insurance, supported by INESC TEC.


     


    Application Period


    Since 18 Sep 2025 to 01 Oct 2025


     


    Centre


    Advanced Computing Systems


     


    Scientific Advisor


    Álvaro Figueira


     


    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.


     


    For more information: Click Here


 


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