Positions: 12

Research Grant (BII)

  • BII|2025/726 - Project VERSACOMP

    Type of position: Research Grant (BII)
    Duration: 3 months
    Deadline to apply: 2025-07-22
    Description

    ONE (1) research grant for students enrolled in a BSc or MSc program with reference number BII|2025/726 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 the following tasks: a) Characterization and modeling of the performance and energy efficiency of state-of-the-art parallel devices; b) Investigation on current trends in parallel computing, with a particular focus on the programmability of hardware targeting AI workloads; c) Write a technical report about the performed work.


    Contact email: bolsas@inesc-id.pt

Research Grant (BI)

  • Refª BI|2025/733 - Projet UNIFY – refª 2022.06780.PTDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-07-31
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/733 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|2025/732 - Projet UNIFY – refª 2022.06780.PTDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-07-31
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/732 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 concerns the optimization of an existing RISC-V core and its integration with the streaming technologies being developed within the scope of the project.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/730 - Project FLORA - ref. 2023.14280.PEX

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-07-31
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/730 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 this scholarship is to develop a new framework for fault localization and automatic repair of logic programs.

    Techniques commonly used in software engineering such as spectrum-based fault localization are to be adapted to logic programming.

    Large Language Models are also expected to be leveraged for these tasks.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/731 - Projet UNIFY – refª 2022.06780.PTDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-07-31
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/731 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 capable of exploiting massive data-level parallelism to provide substantial performance boosts to the applications being considered in the UNIFY project.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/725 – AI-PackBot– Refª LISBOA2030-FEDER-00854700

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-07-22
    Description

    ONE (1) research grant for students with Master degree with reference number BI|2025/725 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 

    Develop new machine learning methods allowing people to work efficiently with robots. Develop methods for planning with uncertainty, infer preferences from users, and deal with the uncertainty of robotic systems.

    The application scenario is a robot that helps users pack a diverse range of objects efficiently and according to the users’ preferences.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/728 - Project MALDIBANK- Refª 101188201

    Type of position: Research Grant (BI)
    Duration: 12 months
    Deadline to apply: 2025-07-22
    Description

    ONE (1) research grant for students with MSc degree with reference number BI|2025/728 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 

    Development of deep learning algorithms and architectures  for the computational analysis of mass spectrometry data.

    The objective is to develop new techniques based on deep learning methods for the analysis of spectra that lead to high-confidence identification of microbial species.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/724 - Proj. ATE – Refª C644914747-0000023

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-07-22
    Description

    ONE (1) research grant for students with Master degree with reference number BI|2025/724 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 objectives of these positions are to support the research team in the PRR-Agenda ATE – C644914747-00000023 / 56 project on the following tasks:

    Prepare a prototype of a Nonintrusive Load Monitoring (NILM) system to be installed in households with low-voltage energy distribution, and transmit real time power consumption data to a cloud-based service. 


    Contact email: bolsas@inesc-id.pt

  • BI|2025/727-Projet UNIFY – refª 2022.06780.PTDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-07-22
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/727 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 objective of the work is the development and implementation of Trusted Execution Environments. In particular, the grant holder will start by studying the Arm TrustZone and deploy an initial application using secure and non-secure worlds in a ZCU106 board. After the initial study, he will make a review of the requirements for the design and implementation of a similar solution for RISC-V systems. 

     


    Contact email: bolsas@inesc-id.pt

  • BI|2025/729-Project ATLAS – refª 2024.06584.CERN

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-07-22
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/729 under the scope of the Project ATLAS with the refª 2024.06584.CERN, funded under the measure RE-C06-i06.m02 – "Reforço do financiamento de Parcerias Internacionais em Ciência, Tecnologia e Inovação"and by  Fundação para a Ciência e a Tecnologia, is now available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    The objective of the work is the development of a framework to model the impact of GPU dynamic voltage and frequency scaling (DVFS) on performance, power and energy-efficiency metrics. Ultimately, the objective is the development of a method to predict how to apply voltage and frequency scaling on GPUs in order to improve energy efficiency


    Contact email: bolsas@inesc-id.pt

  • BI|2025/723 - COFFEE FLOWER – Refª 2022.01547.PTDC

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-07-16
    Description

    ONE (1) research grant for students with BSc degree with reference number Refª BI|2025/723 under the scope of the Project COFFEE FLOWER – Refª 2022.01547.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    The CoffeeFlower project addresses a fundamental problem to agricultural productivity and sustainability, regarding the impact of warming (supra-optimal temperatures) in flower fertility of coffee (Coffea canephora and Coffea arabica). While previous findings showed that some elite genotypes have greater intrinsic heat resilience than expected at leaf level, and that elevated air CO2 can increase such resilience, there is a clear lack of knowledge about how heat can disturb flower development and fertility, and whether it is affected by CO2 levels.

    This work will tackle the integrative bioinformatics analysis of the multi-omic molecular data generated by the project partners working in the field/greenhouse with the aim of unveiling molecular mechanisms underpinning the effect of temperature and CO2 in coffee flowering. This will encompass developing a custom data analysis pipeline that employs state-of-the-art bioinformatics techniques for the analysis of multi-dimensional multi-omics data, as well as exploring novel Artificial Intelligence methods.


    Contact email: bolsas@inesc-id.pt

Contract