Positions: 7

Research Grant (BI)

  • BI|2026/834- Proj. MALDIBANK- Refª 101188201

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2026-01-26
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2026/834 under the scope of the Project MALDIBANK with the Refª 101188201, funded by European Commission, program Horizon Europe, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Develop AI/ML algorithms for processing and integrating spectra and textual data, analysing MS files to identify their origin, confirm spectra presence and spectral deconvolution. Implement novel AI architectures to refine and extend the capabilities of MALDI-TOF MS for classification of complex samples.


    Contact email: bolsas@inesc-id.pt

  • BI|2026/833-Project SafelaC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2026-01-22
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2026/833 under the scope of the Project SafelaC – Refª LISBOA2030-FEDER-00866800, funded by operation nº 15018, Balcão dos Fundos, FEDER and FCT, is now available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    The selected candidate will be a member of the research project SafeIaC, which aims to create the first solution for reliable analysis and automated repair for Infrastructure as Code (IaC) that supports multiple technologies and provides formal correctness guarantees.

    The selected candidate will:

    Contribute to the creation of software tools that can be used to reason about correctness and/or safety properties of software artefacts related to Infrastructure as Code (IaC) Investigate how AI tools and techniques can be used to generate IaC specifications (e.g. as Policy as Code) Participate in regular project meetings with the other members of the SafeIaC project Produce a technical report with all the research findings to be submitted to a scientific conference or journal


    Contact email: bolsas@inesc-id.pt

  • BI|2026/832-Project SafelaC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2026-01-22
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2026/832 under the scope of the Project SafelaC – Refª LISBOA2030-FEDER-00866800, funded by operation nº 15018, Balcão dos Fundos, FEDER and FCT, is now available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    The selected candidate will be a member of the research project SafeIaC, which aims to create the first solution for reliable analysis and automated repair for Infrastructure as Code (IaC) that supports multiple technologies and provides formal correctness guarantees. 

    The selected candidate will:          

    Contribute to the creation of software tools that can be used to reason about correctness and/or safety properties of software artefacts related to Infrastructure as Code; Investigate how AI tools and techniques can be integrated to enhance detection and repair of issues in Infrastructure as Code; Participate in regular project meetings with the other members of the SafeIaC project Produce a technical report with all the research findings to be submitted to a scientific conference or journal


    Contact email: bolsas@inesc-id.pt

  • BI|2025/831- Project FAIRY

    Type of position: Research Grant (BI)
    Duration: 8 months
    Deadline to apply: 2026-01-20
    Description

    ONE (1) research grant for students with BSc degree with reference number grant Refª BI|2025/831 -

    Project FAIRY - FAIRification of YEASTRACT+ to Support Yeast-based Bioeconomy and Health - Grant AG 101129751 (EU CNRS) funded by European Commission, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    There are three main objectives:

    - to create a responsive interface for YEASTRACT+ (frontend and backend) to improve usability and experience on multiple devices (laptop, tablets and phones).

     

    - to develop and integrate tools for quantitative transcriptomic analysis within YEASTRACT+, allowing researchers to identify regulatory interactions and assess their quantitative impact on gene expression levels.

    - to align all of YEASTRACT+ data and functionalities with the FAIR principles


    Contact email: bolsas@inesc-id.pt

  • BI|2026/825 - Project AI-PackBot

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2026-01-20
    Description

    ONE (1) research grant for students with Master degree with reference number BI|2026/825 under the scope of the Project AI-PackBot– Refª LISBOA2030-FEDER-00854700, funded by operation nº 14935, Balcão dos Fundos, FEDER and FCT, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    One position will be available for one of the following topics:

    Develop new machine learning methods for open-world object understand and classification. The system should bootstrap from existing labelled data and adapt to new unknowns arriving classes. With applications in physical systems.

    Network analysis on the uses of A.I. in societal problems.


    Contact email: bolsas@inesc-id.pt

Post-doctoral Grant

  • BPD|2026/821-Project VERSACOMP

    Type of position: Post-doctoral Grant
    Duration: 12 months
    Deadline to apply: 2026-01-23
    Description

    ONE (1) Post-Doctoral Research Grant with reference number BPD|2026/821 under the scope of the Project VERSACOMP – Refª 2023.18110.ICDT / LISBOA2030-FEDER-00869000 funded by operation nº 15038, Balcão dos Fundos, FEDER and FCT, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    This scholarship recipient is expected to perform activities integrated in the following tasks:

    Investigation of current trends in parallel architectures, focusing on programmability as well as the characterization and modeling of their general-purpose capabilities; Investigation of AI hardware trends, with emphasis on programmability and the characterization of AI capabilities in CPUs, GPUs, and dedicated accelerators; Identification of computational patterns suited to AI-enhanced processors and standalone accelerators, and of applications exhibiting these patterns in performance-critical hotspots; Development of methods to streamline programming AI-enhanced systems, taking into account partitioning / mapping and overlapping computation with memory transfers; Write a technical report about the performed work.


    Contact email: bolsas@inesc-id.pt

Contract