Positions: 12

Research Grant (BII)

  • Refª BII|2025/669 - Proj. ATE - ref C644914747-0000023

    Type of position: Research Grant (BII)
    Duration: 6 months
    Deadline to apply: 2025-03-07
    Description

    - Develop a forecast framework using federated learning

    - Evaluate the impact of FL in the EVs management

    - Help in the implementation of FL methods

    - Assist the research team in the production of reports and research papers.


    Contact email: bolsas@inesc-id.pt

Research Grant (BI)

  • BI|2025/671 - Proj CRAI - Refª C628696807-00454142

    Type of position: Research Grant (BI)
    Duration: 4 months
    Deadline to apply: 2025-03-10
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/671 under the scope of the Project Center for Responsible AI – Refª C628696807-00454142 funded by 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 grantee will work on the development of a scale to measure the human perception of an AI agent in the continuum of a full team member or just a tool. The grantee will also collaborate in the definition, execution and analysis of user studies in the topic of human-AI collaboration..


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/670 - Project FLORA - ref. 2023.14280.PEX

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-03-07
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/670 under the scope of the Project FLORA with the ref. 2023.14280.PEX funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    The goal of the working plan for this scholarship is to develop a new generation of algorithms for multi-objective optimization using formal methods. Among other application areas, these new algorithms can be used to find minimal explanations of why a logic program is incorrect.

     


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/665 + Project WebCAP – Refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-02-28
    Description

    The student will work on Task 4 of the WebCAP project, whose goal is to develop three specialised web scrapers to gather data for case studies deemed significant by the Gabinete de Estratégia e Estudos (GEE) of the Portuguese Ministry for the Economy and Maritime Affairs within the Portuguese economy. The areas of interest are: (1) retail pricing in the agri-food industry; (2) housing prices; and (3) the employment landscape. 

    These scrapers will enable the GEE and other stakeholders to pinpoint issues in their respective economic sectors and implement effective public policies to address them.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/666 + Project WebCAP – Refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-02-28
    Description

    The student will work on Task 2 of the WebCAP project, whose goal is to develop new static analysis techniques for website scraping. One limitation of existing scrapers is their operation at the page level. To address this limitation, the student will integrate the scraper generation techniques developed in the first task of the project with a new static analysis method for approximating the links reachable from a given web page within the same domain. This method will be based on an extension of the Gillian-JS symbolic execution engine to support client-side JavaScript code. Using this static analysis, the student will create a general tool for generating web scrapers that operate at the website level instead of just the page level.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/667 + Project WebCAP – Refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-02-28
    Description

    The student will work on Task 3 of the WebCAP project, whose goal is to develop a new deployment system for executing the web scrapers developed within the project.  This deployment system will have two primary goals: it will enable the periodic collection of data from the same websites, allowing policymakers to track the evolution of the targeted data over time, and it will include a set of heuristics designed to mitigate the risk of triggering anti-scraping mechanisms. 

    To achieve this, the student will first establish a base deployment system for running the generated scrapers and storing their collected data and subsequently enhance it with anti-scraping-avoidance heuristics.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/663-Project ATE – Refª C644914747-0000023

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-02-28
    Description
    Propose and develop open source tools for P2P markets and energy sharing Develop control algorithms to be applied to community assets Test the developed algorithms in Lab/real environment Assist the research team in the production of reports and research papers


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/668 + Project OptiGov – Refª 2024.07385.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-02-28
    Description

    This work aims to harness the power of Data Science, Process Mining and Artificial Intelligence to optimize public administrations (PA) processes that interact with complex data. The main objective is to face the challenging problem of compliance, particularly in aligning specifications of PA processes with legal guidelines that these processes should satisfy.

    In this context, the work plans to contribute to the development of an implementation setting for alignment methods for complex PA processes interacting with data objects. These methods should take inspiration from algorithmic techniques developed in data-aware conformance checking.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/664 + Project WebCAP – Refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-02-28
    Description

    The student will work on Task 1 of the WebCAP project, which aims to develop a system for synthesizing web scrapers from annotated web page examples. More specifically, given a web page annotated with information to be extracted, the system should generate an XQuery program to perform the extraction. We will leverage Large Language Models and explore various prompting strategies to determine the most effective one for this task.

    Additionally, to test the generated scraper, the student will need to develop a fuzzer that creates HTML pages for scraper assessment.


    Contact email: bolsas@inesc-id.pt

  • Proj ATE Refª C644914747-0000023+ BI|2025/662

    Type of position: Research Grant (BI)
    Duration: 8 months
    Deadline to apply: 2025-02-25
    Description

    This work focuses on implementing and integrating various signal processing modules, such as True-RMS and FFT, into an existing Ethernet switch.

    The samples are extracted from Ethernet frames formatted according to the Sampled Values (IEC 61850-9-2) standard.

    The functionality must be described in Verilog for implementation on Intel/Altera FPGAs.

    The design must be validated through logic simulation, followed by testing on an FPGA platform.


    Contact email: bolsas@inesc-id.pt

Contract