Positions: 6

Research Grant (BI)

  • BI|2026/861 - Project GLOG

    Type of position: Research Grant (BI)
    Duration: 12 months
    Deadline to apply: 2026-03-09
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2026/861 under the scope of the Project GLOG – Refª 2023.18452.ICDT/ LISBOA2030-FEDER-00771200, funded by FEDER, operation nº 16539 - MPr-2023-12, Balcão dos Fundos and FCT, is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    The goal of this work is to develop a geo-distributed transactional storage based on shared logs design. 

    The student must design, prototype, and evaluate a geo-distributed storage system and write its findings in a scientific paper to be submitted at a conference.

    As such, the work is divided into 4 key steps:

        1. State-of-the-art Revision and design proposal. 2 Months

        2. Development of the prototype. 6 months

        3. Deployment and Evaluation of developed prototype. 2 months

        4. Writing and submission of scientific paper. 2 months


    Contact email: bolsas@inesc-id.pt

  • BI|2026/859 - Project IWGDM/CoUDLabs

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2026-03-06
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2026/859 under the scope of the Project IWGDM/CoUDLabs - funded by INESC ID, is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    1. Data harmonisation framework: design and prototype a pipeline to map multi-source water utility data into a consistent, documented target model (schemas +semantics).

    2. KAG-based assistance: develop KAG components that support (semi-)automatic harmonisation tasks such as field mapping, entity resolution, unit/format normalisation, and metadata enrichment.

    3. Quality and traceability: implement mechanisms for provenance, confidence scoring, and human-in-the-loop review.

    4. Validation on real data: evaluate on representative datasets and realistic harmonisation scenarios with measurable quality and efficiency gains.

    5. Deliverables for reuse: produce code, documentation, and reproducible experiments suitable for internal adoption and MSc thesis work. 


    Contact email: bolsas@inesc-id.pt

  • BI|2026/862 - ATE

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2026-03-06
    Description

    ONE (1) research grant for students with Master degree with reference number BI|2026/862 under the scope of the Project ATE – Refª C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    The objective of this grant position is to support the research team of ATE-PRR in activities related to the development of the final NILM solution integration, including the following tasks: 

     

    Task 1: Finish the development of a printed 3D plastic enclosure to hold the NILM module (2 weeks)

    a)  Iterate the design following previously performed tests.

    b)  Implement and test the new design of the enclosure.

     

    Task 2: Plan the required steps leading to deployment and testing of NILM hardware and software (4 weeks)

     

    a)  Propose a test setup for the NILM module using high-power signals, including equipment list and required instrument software.

    b)  Develop the required test scripts in Python/Matlab.

    c)   Propose a test plan and a test setup using semi-automated test procedures.

     

    Task 3: Test procedure validation (6 weeks) 

     

    a)  Conduct the proposed test plan on representative use cases.

    b)  Adjust the test plan for final deployment.


    Contact email: bolsas@inesc-id.pt

  • BI|2026/860 - Project LeaF – Refª 2024.14611.CMU

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2026-03-05
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2026/860 under the scope of the Project Machine Unlearning in Speech Foundation Models: Learning to Forget (LeaF), Refª 2024.14611.CMU , funded Fundação para a Ciência e a Tecnologia, I.P., is now available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Development and evaluation of machine unlearning algorithms for speech foundation models against jailbreak attacks, including:

    - Selection and preparation of models and datasets to be used in the project's experiments.

    - Benchmarking jailbreak attack success against speech foundation models.

    - Development of gradient-based approximate machine unlearning approaches.

    - Evaluation of the developed machine unlearning approaches with regard to the mitigation of jailbreak attacks.


    Contact email: bolsas@inesc-id.pt

Contract