Positions: 14
Research Grant (BI)
Refª BI|2025/741-HLT – BM - I3AC007103
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2025/741 under the scope of the Project HLT – BM - I3AC007103, funded by INESC ID, is available under the following conditions:
OBJECTIVES | FUNCTIONS
The candidate will work on the development of novel approaches for task planning in the context of domestic robotics, leveraging large language models and building on ideas associated to recent vision-action-language models for generalizable task planning
Contact email: bolsas@inesc-id.ptRefª BI|2025/735 - URA-HPC – Refª 2022.08838.PTDC
Type of position: Research Grant (BI)
Duration: 11 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/735 under the scope of the Project URA-HPC with the Refª 2022.08838.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Currently, there are numerous numerical methods that allow the resolution of over-determined linear systems. These linear systems appear naturally in a multitude of problems in Science and Engineering. Citing some of great current relevance: Principal Component Analysis (PCA), image reconstruction in Tomography, signal processing, machine learning, and optimization problems in general. However, it has been observed that classical deterministic methods suffer from important scalability problems in solving large-scale problems characterized by high-dimensional matrices with heterogeneous structure. Furthermore, many of these classical methods when parallelized become highly inefficient due to intense communication between the large number of cores, thus reducing the effective performance of the algorithms.
The randomized Kaczmarz algorithm is proposed as a solution. This iterative numerical algorithm is based on using an individual row of the matrix at each iteration step, and therefore facilitates the distribution of the matrix in the memory of the distributed architecture. This is of fundamental importance because it allows developing parallel algorithms with minimal intercommunication cost between different cores.
The work to be carried out under this scholarship consists of: first, implementing the Kaczmarz algorithm in MPI and OpenMP, and analyzing its scalability by executing a series of benchmarks on a massively parallel architecture; and second, applying this approach in the reconstruction of 3D images generated in CT scan systems (Computed Axial Tomography). For the first objective, computational resources from the research group will be used.
Contact email: bolsas@inesc-id.ptBI|2025/740 - CRAI - Refª C628696807-00454142
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2025/740 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 study the field of Human-AI interaction and design a solution for collaborative scenarios where the AI and the Humans work together in industrial scenarios. The work will design promising scenario and draft an interactive application that can used to study the AI capabilities and the Human perception of the collaboration.
Contact email: bolsas@inesc-id.ptBI|2025/739 - Project AILA - Refª 2024.07657.IACDC
Type of position: Research Grant (BI)
Duration: 5 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with Master degree with reference number BI|2025/739 under the scope of the Project AILA – Artificial Intelligence Legal Assistant - Refª 2024.07657.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
Investigate how to develop a system capable of retrieving relevant legal documents from a legal corpus, able to translate technical legal language into simple and easily understandable text without losing essential legal nuances, and able to provide context-specific explanations and examples to help users of the system understand the implications of legal provisions. The system must ensure the traceability of the generated content by providing references to the original legal documents and highlighting the AI's reasoning process.
Contact email: bolsas@inesc-id.ptRefª BI|2025/736 - URA-HPC – Refª 2022.08838.PTDC
Type of position: Research Grant (BI)
Duration: 11 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/736 under the scope of the Project URA-HPC with the Refª 2022.08838.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Monte Carlo methods are often used as an alternative to classical methods for solving intractable problems. In particular, Monte Carlo can be used for computing functions over matrices. This method can calculate individual positions of the result matrix, allowing the resolution of significantly more complex problems. This is because, although in many cases the original matrix is sparse, the result matrix will no longer be sparse, therefore not representable in memory due to being too large, making classical methods unfeasible. However, for very large problems, the dimension of the input matrix may not fit in the memory of a single computer.
The work to be carried out for this scholarship is to develop this algorithm in a distributed manner, that is, partitioning the input matrix across several computational nodes. The challenge of this approach will be minimizing the impact of additional cost due to data communication between these nodes. The result of this work should be a set of distributed functions offered in the context of a library for scientific computing, and is part of a project by the Foundation for Science and Technology.
Contact email: bolsas@inesc-id.ptBI|2025/738 – Proj. SHELL – Refª LISBOA2030-FEDER-00748300
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/738 under the scope of the Project SHELL – Refª LISBOA2030-FEDER-00748300 funded by operation nº 16321, Balcão dos Fundos, FEDER and FCT, is available under the following conditions:
OBJECTIVES | FUNCTIONS
Cloud computing is currently in an impasse. While hardware efficiency is improving at an exponentially lower rate, the demand for elastic and scalable cloud resources keeps growing, as evidenced by the emergence of popular cloud computing models such as Serverless. Since this demand cannot be met with existing virtualization technology, we propose Shell, a new virtualized runtime environment that has the potential to unlock the new cloud era.
Contact email: bolsas@inesc-id.ptRefª BI|2025/737 - URA-HPC – Refª 2022.08838.PTDC
Type of position: Research Grant (BI)
Duration: 11 months
Deadline to apply: 2025-08-04
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/737 under the scope of the Project URA-HPC with the Refª 2022.08838.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Within the scope of a scientific project funded by the Foundation for Science and Technology, a set of distributed routines is being developed for computing functions over matrices, offered in the context of a library for scientific computing. We are using an approach based on Monte Carlo methods, which have some advantages over classical methods. Namely, with this method it is possible to calculate individual positions of the result matrix, allowing the resolution of significantly more complex problems. This is because, although in many cases the original matrix is sparse, the result matrix will no longer be sparse, therefore not representable in memory due to being too large, making classical methods unfeasible.
The work to be carried out in the scope of this scholarship is to explore accelerators, namely GPUs, to implement the algorithmic kernels, in order to optimize their computational efficiency, and incorporate these solutions into the existing library.
Contact email: bolsas@inesc-id.ptRefª BI|2025/734 - URA-HPC – Refª 2022.08838.PTDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-08-01
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2025/734 under the scope of the Project URA-HPC with the Refª 2022.08838.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Radial Basis Functions (RBF) are mathematical functions whose the result only depends on the distance from the input to a central point, called a kernel, in a multidimensional space. A set of RBFs can be used as a basis to approximate other functions given a set of values corresponding to points in space, which has been used very successfully in different scientific and engineering applications. However, when the number of points is very high, calculating the approximation function can be complex.
In this work the objective is to explore the new functionalities for asynchronous parallelism, namely tasks with dependencies, available in the latest version of OpenMP, for solving the problem of function approximation by RBFs. Asynchronous parallelism has great advantages in terms of load balancing because it is at runtime that the operations to be performed are defined, therefore allowing any operation whose data is available to be executed..
Contact email: bolsas@inesc-id.ptRefª BI|2025/733 - Projet UNIFY – refª 2022.06780.PTDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-07-31
DescriptionONE (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.ptRefª BI|2025/732 - Projet UNIFY – refª 2022.06780.PTDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-07-31
DescriptionONE (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.ptRefª BI|2025/730 - Project FLORA - ref. 2023.14280.PEX
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2025-07-31
DescriptionONE (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.ptRefª BI|2025/731 - Projet UNIFY – refª 2022.06780.PTDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-07-31
DescriptionONE (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
Contract
Public notice for one uncertain-term work contract for a Researcher reference 2025.016.CTTRI Application submission from July 24 to August 7of 2025
Type of position: Contract
Duration: months
Deadline to apply: 2025-08-07
Description
Contact email: contractos@inesc-id.ptPublic notice for one permanent employment contract for an Administrative and Financial Manager of financed and co-financed projects reference 2025.015.CTST
Type of position: Contract
Duration: months
Deadline to apply: 2025-08-01
Description
Contact email: contractos@inesc-id.pt