Positions: 10

Research Grant (BI)

  • Refª BI|2025/753-Project GROW-LC - I3AC003101

    Type of position: Research Grant (BI)
    Duration: 12 months
    Deadline to apply: 2025-10-06
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/753, under the scope of the Project GROW-LC - I3AC003101, supported by INESC-ID, is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    The main objective is to develop a model capable of performing a statistical evaluation of the Exclusion Zone around an Active Antenna in urban mobile communications scenarios, accounting for the mobility of users, the diversity of the provided services and the environment characterisation, taking 5G as a starting reference but aiming at 6G deployments.

    The workplan should develop as follows

    •    Study of 5G and 6G systems and of EMF exposure.

    •    Development of a model for the calculation of exclusion zones.

    •    Development of a simulator to implement the model previously developed.

    •    Assessment of results from the model.

    Depending on work progress, a 2nd year scholarship may be granted, to further develop the model and conduct measurements.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/756- CRAI - Refª C628696807-00454142

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-10-02
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/756 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 

    Deep neural network architectures for explainable dual-process computation

    Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve the ability of existing vision and language models to reason using language and visual inputs. Particular attention will be given to studying approaches to reasoning in continuous latent spaces and to the issue of explainability of new and existing approaches.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/755-CRAI-Refª C628696807-00454142

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-10-02
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/755 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 

    Application of deep learning methods to digital pathology

    Development of deep learning algorithms for the computational analysis of whole-slide images. The objective is to identify relevant biological features and to perform cell counting in Ki-67 stained slides. These results will then be included in a pipeline for the diagnostic of the existence and proliferation level of tumors in human tissues.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/754-Projet UNIFY – refª 2022.06780.PTDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-10-02
    Description

    ONE (1) research grant for students enrolled in a MSc degree with reference number BI|2025/754 under the scope of the Project UNIFY with the refª 2022.06780.PTDC funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    The UNIFY project consortium is developing an accelerated multi-core computing system, composed of processors and accelerators, based on the RISC-V instruction set architecture and the OpenPiton framework. The objective of this scholarship is the design and implementation of an accelerator for a vector acceleration engine, especially designed for crypto applications.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/750 - Project WebCAP - refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-09-30
    Description

    ONE (1) research grants for students with BSc degree with reference number BI|2025/750, under the scope of the Project WebCAP - refª 2024.07393.IACDC, supported by the measure “RE-C05-i08.M04” – Support for the launch of a programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding agreement signed between the Estrutura de Missão Recuperar Portugal (EMRP) and Foundation for Science and Technology, I.P. (FCT), is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    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

  • Refª BI|2025/752-Project WebCAP - refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-09-30
    Description

    ONE (1) research grants for students with BSc degree with reference number BI|2025/752, under the scope of the Project WebCAP - refª 2024.07393.IACDC, supported by the measure “RE-C05-i08.M04” – Support for the launch of a programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding agreement signed between the Estrutura de Missão Recuperar Portugal (EMRP) and Foundation for Science and Technology, I.P. (FCT), is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    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

  • Refª BI|2025/751-Project WebCAP - refª 2024.07393.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-09-30
    Description

    ONE (1) research grants for students with BSc degree with reference number BI|2025/751, under the scope of the Project WebCAP - refª 2024.07393.IACDC, supported by the measure “RE-C05-i08.M04” – Support for the launch of a programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding agreement signed between the Estrutura de Missão Recuperar Portugal (EMRP) and Foundation for Science and Technology, I.P. (FCT), is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    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

Post-doctoral Grant

  • BPD|2025/757 - Proj. SWATE--LISBOA2030-FEDER-00777100

    Type of position: Post-doctoral Grant
    Duration: 12 months
    Deadline to apply: 2025-10-07
    Description

    ONE (1) Post-Doctoral Research Grant with reference number BPD|2025/757 under the scope of the Project SWATE: Socially-Aware AI for Teamwork Enhancement and Training– Refª LISBOA2030-FEDER-00777100 funded by operation nº 16594, Balcão dos Fundos, FEDER and FCT, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Assessing embodied interactions in physical environments over time can provide valuable insights of team dynamics. SWATE explores the creation of a Socially-Aware AI agent to enhance team training by providing real-time insights and actionable feedback from 3D articulated bodies and audio signals, as descriptors of teamwork dynamics. SWATE promises to revolutionize team dynamics understanding and applications across various domains.

    The successful candidate will:

    Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an "agent mind" capable of integrating multidisciplinary knowledge to assess task understanding, predict actions, and evaluate teamwork competencies. Validate and test these models in simulated and/or real-world team environments. Collaborate in an interdisciplinary setting and contribute to high-impact publications.


    Contact email: bolsas@inesc-id.pt

Contract