Positions: 5
Research Grant (BII)
BII|2026/858 Project POEMS
Type of position: Research Grant (BII)
Duration: 6 months
Deadline to apply: 2026-03-04
DescriptionONE (1) research grant for students enrolled in a BSc program with reference number BII|2026/858 under the scope of the project POEMS, with the refª 101217446 funded by EUROPEAN Commission and by FCT, under the following conditions::
OBJECTIVES | FUNCTIONS
The grant is intended to support engineering and experimental development activities within the POEMS project, focusing on the design, implementation, and validation of electronic systems for ASIC and embedded systems testing.
The work aims to contribute to the development of a reliable test setup to serve as a supporting platform for several training courses within the POEMS WP3 and WP6 work packages.
The selected candidate will contribute to the development of tools for interfacing and controlling laboratory instrumentation and FPGA-based platforms. In addition, the candidate will develop custom electronic test circuits for ASIC prototype characterization, including power supply and bias circuits, as well as analog and digital interfaces.
Main activities include:
• Design and implementation of electronic test setups for ASIC prototype validation
• Manual and automated control of laboratory equipment
• PCB design of dedicated test boards (e.g., low-current power supplies and bias circuits)
• Assembly, soldering, rework, and electrical testing of electronic prototypes
• Integration of embedded systems with laboratory instruments (power supplies, oscilloscopes, multimeters, etc.)
• Definition of test procedures and measurement methodologies
• Debugging, functional validation, and characterization of mixed-signal systems
• Preparation of technical documentation supporting experimental validation activities
Contact email: bolsas@inesc-id.pt
Research Grant (BI)
BI|2026/861 - Project GLOG
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2026-03-09
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/861 under the scope of the Project GLOG – Refª 2023.18452.ICDT/ LISBOA2030-FEDER-00771200, funded by FEDER, operation nº 16539 - MPr-2023-12, Balcão dos Fundos and FCT, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
The goal of this work is to develop a geo-distributed transactional storage based on shared logs design.
The student must design, prototype, and evaluate a geo-distributed storage system and write its findings in a scientific paper to be submitted at a conference.
As such, the work is divided into 4 key steps:
1. State-of-the-art Revision and design proposal. 2 Months
2. Development of the prototype. 6 months
3. Deployment and Evaluation of developed prototype. 2 months
4. Writing and submission of scientific paper. 2 months
Contact email: bolsas@inesc-id.ptBI|2026/859 - Project IWGDM/CoUDLabs
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2026-03-06
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/859 under the scope of the Project IWGDM/CoUDLabs - funded by INESC ID, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
1. Data harmonisation framework: design and prototype a pipeline to map multi-source water utility data into a consistent, documented target model (schemas +semantics).
2. KAG-based assistance: develop KAG components that support (semi-)automatic harmonisation tasks such as field mapping, entity resolution, unit/format normalisation, and metadata enrichment.
3. Quality and traceability: implement mechanisms for provenance, confidence scoring, and human-in-the-loop review.
4. Validation on real data: evaluate on representative datasets and realistic harmonisation scenarios with measurable quality and efficiency gains.
5. Deliverables for reuse: produce code, documentation, and reproducible experiments suitable for internal adoption and MSc thesis work.
Contact email: bolsas@inesc-id.ptBI|2026/862 - ATE
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2026-03-06
DescriptionONE (1) research grant for students with Master degree with reference number BI|2026/862 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 objective of this grant position is to support the research team of ATE-PRR in activities related to the development of the final NILM solution integration, including the following tasks:
Task 1: Finish the development of a printed 3D plastic enclosure to hold the NILM module (2 weeks)
a) Iterate the design following previously performed tests.
b) Implement and test the new design of the enclosure.
Task 2: Plan the required steps leading to deployment and testing of NILM hardware and software (4 weeks)
a) Propose a test setup for the NILM module using high-power signals, including equipment list and required instrument software.
b) Develop the required test scripts in Python/Matlab.
c) Propose a test plan and a test setup using semi-automated test procedures.
Task 3: Test procedure validation (6 weeks)
a) Conduct the proposed test plan on representative use cases.
b) Adjust the test plan for final deployment.
Contact email: bolsas@inesc-id.ptBI|2026/860 - Project LeaF – Refª 2024.14611.CMU
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-03-05
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/860 under the scope of the Project Machine Unlearning in Speech Foundation Models: Learning to Forget (LeaF), Refª 2024.14611.CMU , funded Fundação para a Ciência e a Tecnologia, I.P., is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Development and evaluation of machine unlearning algorithms for speech foundation models against jailbreak attacks, including:
- Selection and preparation of models and datasets to be used in the project's experiments.
- Benchmarking jailbreak attack success against speech foundation models.
- Development of gradient-based approximate machine unlearning approaches.
- Evaluation of the developed machine unlearning approaches with regard to the mitigation of jailbreak attacks.
Contact email: bolsas@inesc-id.pt