Positions: 21
Research Grant (BI)
BI|2026/880 Projet SALVE – refª 2024.14936.PEX
Type of position: Research Grant (BI)
Duration: 5 months
Deadline to apply: 4216-05-30
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/880 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:
OBJECTIVES | FUNCTIONS
This task evaluates the impact of controlled code perturbations on the classification stability and robustness of Large Language Models (LLMs) in distinguishing secure from insecure JavaScript code. The student will design and implement a systematic evaluation pipeline to assess model behavior under perturbation-induced variations. The work plan includes:
Evaluation Pipeline Development (Month 1) Implement a scalable evaluation framework using local LLM infrastructure (e.g., Ollama, LMStudio). Integrate multiple LLMs for comparative evaluation. Automate classification experiments across original and perturbed datasets. Classification Shift Analysis (Month 2) Measure classification changes between original and perturbed code variants. Identify perturbations that cause label flips (secure ↔ insecure).Quantify: Misclassification rate, Stability rate, False positive rate, False negative rate
Robustness Assessment (Month 3-4) Define robustness metrics for security classification consistency. Evaluate resilience to obfuscation, control-flow changes, and API variations.Compare robustness performance across different models.
Misclassification Characterization (Month 4-5) Construct an augmented misclassification dataset containing: original and perturbed variants, model predictions, correct labels, perturbation typeAnalyze patterns in failure cases.
Exploratory Explainability Analysis (Optional) Investigate whether explainability tools can help identify model reliance on superficial features. Analyze whether models rely on syntax-level heuristics versus security-relevant semantics.All experimental artifacts, code, and results will be released in an open-source repository. The selected candidate will be integrated into a research team with established expertise in software security, program analysis, and AI-driven code intelligence, with a track record of collaboration with leading technology companies and publications in top-tier international conferences and journals.
Contact email: bolsas@inesc-id.ptBI|2026/882 Projet SALVE – refª 2024.14936.PEX
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-12-31
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/882 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:
OBJECTIVES | FUNCTIONS
This task aims to develop an automated and scalable framework for the continuous improvement of security-aware Large Language Models (LLMs), integrating dataset expansion, evaluation, incremental fine-tuning, and security-aware code generation validation. The student will build an integrated pipeline that reuses artifacts developed in previous tasks and ensures systematic model improvement over time. The work plan includes:
Automated Dataset Expansion (Month 1) Implement mechanisms to collect and track secure and insecure JavaScript code from open-source repositories. Identify and label security-related commits using diff-based analysis. Integrate synthetic data generation (e.g., AST-based vulnerability injection) to increase dataset diversity. Continuous Model Evaluation (Month 2) Implement automated evaluation of security classification performance on expanded datasets. Measure classification accuracy, precision, recall, and robustness over time. Track performance differentials across evaluation cycles. Incremental Fine-Tuning and Feedback Integration (Month 3) Implement periodic fine-tuning of selected models using curated secure–insecure code pairs. Integrate adaptive feedback mechanisms based on misclassification analysis. Ensure reproducibility and version control of model updates. Security-Aware Code Generation Testing (Month 4) Integrate static analysis tools (e.g., Semgrep, CodeQL) to assess generated code. Measure vulnerability density (e.g., vulnerabilities per 100 lines of code). Compare improvements across pipeline iterations. Validation and Framework Assessment (Month 5-6) Conduct two full validation cycles in the final four months. Measure improvements in: Security classification accuracy Robustness to adversarial modifications Reduction of AI-generated vulnerabilitiesAll artifacts will be released as open-source and documented for reproducibility. The selected candidate will be integrated into a research team with established expertise in software security, program analysis, and AI-driven code intelligence, with a track record of collaboration with leading technology companies and publications in top-tier international conferences and journals.
Contact email: bolsas@inesc-id.ptBI|2026/881 Projet SALVE – refª 2024.14936.PEX
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-09-30
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/881 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:
OBJECTIVES | FUNCTIONS
This task aims to enhance the ability of Large Language Models (LLMs) to distinguish secure from insecure JavaScript code using contrastive learning with a tailored security-aware loss function. The student will fine-tune selected models using secure-insecure code pairs derived from Tasks 1 and 2 and evaluate improvements in classification stability and security-aware code generation.
The work plan includes:
(Month 1) Implement contrastive learning fine-tuning using a tailored Multiple Negatives Ranking Loss (MNRL) formulation. (Month 2) Design and integrate a security penalty term to balance false positives and false negatives. (Month 3) Analyze embedding-space separation using cosine similarity and alternative visualization techniques. (Month 4) Evaluate improvements in classification metrics (accuracy, precision, recall, F1, FNR, FPR). (Month 4) Compare fine-tuned models against baseline models without contrastive learning. (Month 5) Assess secure-by-default code generation using static analysis tools (e.g., Semgrep, CodeQL), measuring vulnerabilities per 100 lines of generated code. (Month 6) Ensure reproducibility and open-source release of training and evaluation pipelines.The selected candidate will be integrated into a research team with established expertise in software security, program analysis, and AI-driven code intelligence, with a track record of collaboration with leading technology companies and publications in top-tier international conferences and journals
Contact email: bolsas@inesc-id.ptProj. SEQURED BI|2026/923 - BI|2026/924
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2026-06-12
DescriptionTWO (2) research grants for students with BSc degree with reference numbers BI|2026/923 - BI|2026/924, Project SEQURED - Refª 101168112, funded by European Commission - Program HORIZON EUROPE (European Defence Fund), is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Development and implementation of Post Quantum Cryptography algorithms.
Contact email: bolsas@inesc-id.ptBI|2026/917 Project SENCY
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/917 under the scope of the Project SENCY– Refª LISBOA2030-FEDER-00850400 / 2023.16186.ICDT, co-funded by the European Union through the Lisboa 2030 Programme (ERDF) and by national funds through FCT, I.P., under project no. 17115, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
• Collaborate in the definition of innovation strategy
• Contact with partners and companies to identify needs
• Assessment of services offered considering the needs of the partners
• Contribute in the writing reports and paper
Contact email: bolsas@inesc-id.ptBI|2026/912 - Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/912 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Develop tools to be used in Energy Dream Lab related to DC Grids Support in the implementation and Setup of the Lab Support the execution of tests and simulations required in the different project Collaborate in the development of deliverables Support in the development of Scientific papers
Contact email: bolsas@inesc-id.ptBI|2026/921 Project AI-ASSISTANTS 4PID
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/921 under the scope of the Project AI-ASSISTANTS 4PID – Refª KA220-ADU AA21634A funded by European Commission – Program Horizon Europe – ERASMUS+, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
To develop user studies with people with intellectual disability (PID) to assess their needs in use of generative AI (e.g. ChatGPT). To develop a conversational agent to support learning activities in a learning management system with content targeted at PID regarding the use of generative AI. To participate in the project meetings with the partners and support the writing of reports.
Contact email: bolsas@inesc-id.ptBI|2026/913 - Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/913 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Develop tools to be used in Energy Dream Lab relatd with electric mobility Support in the implementation and Setup of the Lab Support the execution of tests and simulations required in the different project Collaborate in the development of deliverables Support in the development of Scientific papers
Contact email: bolsas@inesc-id.ptBI|2026/907 - Project AHEAD - Refª 101160665
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grants for students with MSc degree with reference number BI|2026/97, under the scope of the project AHEAD - Refª 101160665, funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
- Identification of the equipment to be used in the control of houses and buildings considering the connection of electric vehicles with V2X capability.
- Development of the main algorithms to be included in the edge device that will control the devices and appliances.
- Development of the algorithms to be installed in a cloud allowing the strategic definition of the services that will be activated in houses and buildings.
- Test of the communication and interoperability between the cloud and the edge devices.
- Demonstration of the functioning of the algorithms in real installations (demonstrators).
- Production of scientific papers in the topic related to this scholarship.
Contact email: bolsas@inesc-id.ptBI|2026/916 Project SENCY
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/916 under the scope of the Project SENCY– Refª LISBOA2030-FEDER-00850400 / 2023.16186.ICDT, co-funded by the European Union through the Lisboa 2030 Programme (ERDF) and by national funds through FCT, I.P., under project no. 17115, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
• Propose and develop strategies to clustering information in Industrial Kitchens.
• Propose new algorithms of classification of the of activation.
• Assist the research team in the production of reports and research papers
Contact email: bolsas@inesc-id.ptBI|2026/906 Project ORQESTRA
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grants for students with MSc degree with reference number BI|2026/906, project ORQESTRA - Refª 101224573-ORQESTRA-EDF-2024-LS, funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Understand and develop new implementations of post-quantum cryptography protocols with masking techniques to protect against side-channel attacks. Targetting primarily ML-DSA and ML-KEM, study the arithmetic and boolean masking transformations and where they apply in each algorithm. Implement enhanced versions of the algorithms using masking and validate the implementations.
Contact email: bolsas@inesc-id.ptBI|2026/909 Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/909 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Develop battery management strategies considering DC integration. Evaluate degradation behaviour of batteries considering different chemistries Support Lab activities related with the test of Batteries and Cells. Support reporting and papers writing.
Contact email: bolsas@inesc-id.ptBI|2026/920 Project CARMA– Refª 101168355
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/920 under the scope of the Project CARMA– Refª 101168355 funded by European Commission – Program Horizon Europe, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
One of the goals of the CARMA project is to develop a conversational module for a social robot using Large Language Models (LLM) to engage in conversation with victims and first-responders. One challenging problem is the verification of the quality of the conversation generated by the social robot. To assess that we will create synthetic victims using LLM. The task in this work includes defining profiles for relevant victims and creating interactive personas of such victims using LLM. We will study the best approach to build believable and consistent victim personas and study their efficacy in testing the social robots dialogue.
Contact email: bolsas@inesc-id.ptBI|2026/918 Project DIG-Flex
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/918 under the scope of the Project DIG-Flex, funded by national funds through FCT, I.P., under the project no. 2023.18381.ICDT, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
• Propose and develop tools allowing the quantification of flexibility
• Quantify the value of flexibility considering market opportunities
• Test the developed algorithms in Lab/real environment
• Assist the research team in the production of reports and research papers
Contact email: bolsas@inesc-id.ptBI|2026/911 Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/911 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Development of backend and front-end applications leveraging the existing IT infrastructure with strong background in electric mobility needs. Keep track of the real-world deployments and analyse user interaction data with the deployed platforms. Develop OCPP1.6 and OCPP2.01 interfaces allowing integration with Digital Twins Assist the research team in the production of reports and research papers.
Contact email: bolsas@inesc-id.ptBI|2026/914 Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2026/914 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Support for new users of the OPAL-RT system for real-time simulation of power systems. Simulation in OPAL-RT of the functionalities of analog/IEC 61850 conversion units. IED Hardware tests inserted in a loop with activation by digital commands as well as by direct reading of amplified voltages and currents. Preparation/Elaboration of laboratory guides for testing different typical protection systems. Real-time simulation of centralized protection control (CPC) systems.
Contact email: bolsas@inesc-id.ptBI|2026/915 Project U2DEMO - Refª 101160684
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grants for students with MSc degree with reference number BI|2026/915, under the scope of the project U2DEMO - Refª 101160684, funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
• Design and model peer-to-peer (P2P) energy trading mechanisms for local energy communities.
• Contribute in papers and reports
• Develop fair and transparent energy sharing and pricing algorithms among participants.
• Assess technical, economic, and regulatory impacts of P2P energy exchanges.
• Validate P2P and energy sharing schemes through simulations and real-world pilots.
Contact email: bolsas@inesc-id.ptRefª BI|2026/908 - Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/908 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Development of Powr Flow algorithms for DC grids Incorporate voltage droop functions in Power Flow methods Test in laboratory facilities Assist the research team in the production of reports and research papers
Contact email: bolsas@inesc-id.ptBI|2026/910 - Project SHIFT2DC - Refª101136131
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2026-05-29
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2026/910 under the scope of the Project SHIFT2DC - Refª101136131 funded by European Commission - Program HORIZON EUROPE, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Development of EMS for DC grids. Model energy generation, storage, and self-consumption in DC Grids. Assess impacts of electric vehicles in DC Grids. Support Lab activities related with the test of DC Grids. Support reporting and papers writing
Contact email: bolsas@inesc-id.pt
Post-doctoral Grant
BPD|2026/922 - Project NSAI-DETER
Type of position: Post-doctoral Grant
Duration: 12 months
Deadline to apply: 2026-05-29
DescriptionONE (1) Post-Doctoral Research Grant with reference number BPD|2026/922 under the scope of the Project NSAI-DETER – Refª 2024.14198.PEX funded by Fundação para a Ciência e a Tecnologia I.P. , is now available under the following conditions:
OBJECTIVES | FUNCTIONS
The successful candidate will be responsible for creating and curating a multi-sensor satellite image database, primarily based on data from Landsat-8 and Sentinel-2, but potentially incorporating images from additional relevant satellite platforms. This database will focus on the seven target classes used in Brazil’s DETER system:
Deforestation:
Deforestation with exposed soil Deforestation with vegetation MiningDegradation:
Degradation Forest fire scarsTimber Exploitation:
Selective Logging Type 1 (Disordered) Selective Logging Type 2 (Geometric)In addition, the database must include Land Use / Land Cover (LU/LC) annotations from the TerraClass system, alongside complementary metadata such as topography, regional humidity, and climate indicators to support later knowledge representation and AI modeling phases.
The resulting annotated image dataset will be hosted on DEUCALION, a high-performance computational platform co-funded by FCT and EuroHPC, operated by INESCTEC / University of Minho, ensuring robust data management and accessibility for the research community.
Main Responsibilities
Access and process satellite imagery using tools such as Google Earth Engine Select and annotate image areas from across the Brazilian Legal Amazon (BLA) (~5 million km²) Ensure data quality by choosing scenes with minimal occlusions or distortions Integrate geo-referenced data (latitude/longitude), LU/LC classifications, and environmental metadata Collaborate with experts from INPE and IEAv to ensure accurate, meaningful annotations Validate computational methods proposed by Master’s and PhD students Deliver a well-structured, documented dataset to support subsequent AI model training and evaluation
Contact email: bolsas@inesc-id.pt
Contract
Public notice for one uncertain-term work contract for a Researcher reference 2026.006.CTTRI
Type of position: Contract
Duration: months
Deadline to apply: 2026-06-08
Description
The selected researcher will coordinate the work of the work package dedicated to the development of the technical and operational framework of the project (WP3). To conduct research on the creation of AI agents for human-robot interaction scenarios aligned with the project use cases.
Contact email: contratos@inesc-id.pt