Positions: 7
Research Grant (BI)
Refª BI|2025/683-AIdentifyAGE - Refª 2024.07444.IACDC
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2025-03-28
Description
ONE (1) research grant for students with MSc degree with reference number BI|2025/683 under the scope of the Project AIdentifyAGE - Artificial Intelligence and its Application by Forensic Science Service Providers: Migrant Unidentified Age Estimation with the Refª 2024.07444.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:
OBJECTIVES | FUNCTIONS
Objectives:
Knowledge and proof of age are essential for all human beings. Forensic Age Estimation (FAE) plays a crucial role in the judicial system, not only in identifying cadavers but also in assessing the age of living individuals, minors, and the undocumented. The number of individuals referred for FAE by legal authorities has significantly increased in recent years. This scholarship aims to support PhD-level studies on FAE by exploiting a new methodology that combines deep learning technology and knowledge graphs. The goal is to research and develop a new Decision Support System (DSS) that will improve the accuracy of Dental Age Assessment and reduce bias.
Work Plan:
(1) *Survey recent work* on the combination of deep learning technologies and knowledge graphs in forensic age estimation (FAE), specifically focusing on dental age assessment, as well as recent advancements in age estimation methods and Decision Support Systems (DSS) in medical diagnostics;
(2) *Study and research suitable data sources*, such as dental radiographs, medical imaging, and age-related biomarkers, for use in the development of a DSS for dental age estimation, ensuring data quality and relevance for improving age estimation accuracy;
(3) *Identify and research how deep learning methods and knowledge graphs* can be leveraged to enhance the accuracy of age assessments, reduce biases, and create a robust decision-making framework for forensic experts;
(4) *Develop a prototype of a Decision Support System (DSS)*, integrating deep learning-based models with knowledge graphs for dental age assessment, ensuring that the system is user-friendly, efficient, and scalable for real-world forensic applications;
(5) *Conduct experimental comparative evaluations* of existing methods against the developed DSS, measuring performance in terms of accuracy, speed, and bias reduction in age estimation;
(6) *Write technical reports* on the development process, experimental findings, and evaluation results, including an assessment of the DSS's potential impact on improving forensic practices related to age estimation.
Contact email: bolsas@inesc-id.ptSmartRetail - refªC6632206063-00466847 + ref BI|2025/685
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2025-03-28
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/685 under the scope of the Project SmartRetail – refªC6632206063-00466847 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 goal of this project is to contribute to the development of advanced security and privacy-preserving technologies for smart-retail stores. Specifically, this project aims to study the susceptibility and mitigation of smart-retail network infrastructures to SYN flood attacks, a type of Distributed Denial of Service (DDoS) attacks that continue to grow in frequency and intensity, posing significant challenges to traditional mitigation methods due to their scale, diversity, and strain on network resources. Considering these attacks, this project has the following main goals: (1) Design and implement FloodKiller, a novel system that leverages the high-performance capabilities of programmable switches alongside the memory scalability made possible by RDMA. By offloading state-heavy data to RDMA-enabled external memory, FloodKiller aims to overcome the limitations of conventional defense mechanisms, enhancing scalability, accuracy, and reducing latency. (2) Develop specialized optimizations, including optimizing RDMA integration, developing efficient packet stalling methods during memory retrieval, and designing mechanisms for tracking verified connections and memory address mappings. (3) Evaluate FloodKiller's effectiveness using Tofino programmable switches. The expected outcome of this project includes a report of the analyzed solutions, a software prototype of the implemented solution, and a research paper.
Contact email: bolsas@inesc-id.ptRefª BI|2025/681 + Project OptiGov – Refª 2024.07385.IACDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-03-21
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/681 under the scope of the project OptiGov: Aproveitar a IA para a Eficiência dos Processos na Administração Pública - ref. 2024.07385.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:
OBJECTIVES | FUNCTIONS
This work aims to harness the power of Data Science, Process Mining, LLMs and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem of compliance, particularly in aligning specifications of PA processes with legal guidelines that these processes should satisfy.
The work is in the context of Task 3 of the project. It aims to define and develop automated reasoning methods, enhanced by and integrated with the capabilities of LLMs to extract relevant information, for aligning the PA specifications with the guidelines.
Contact email: bolsas@inesc-id.ptRefª BII|2025/680 – Project CRAI – refª C628696807-00454142
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-03-21
DescriptionONE (1) research grant for students that are enrolled in a BSc program with reference number BII|2025/680 under the scope of the project Center for Responsible AI with the refª C628696807-00454142 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 main goal is to build a Proof of Space blockchain that relies on real contents that are maintained in the nodes of Machine Learning, Data Analytics and Cloud platforms.
More precisely, the work will integrate previous work in our team on the Proof of Space blockchain protocol, called “Chia Bread Pudding”, with an encrypted file system on a mainstream Operating System, such as Linux. In this blockchain protocol, the stake of each user is given by the amount of file contents that he holds in his disks.
The goal of the integrated system that should result from this grant is to allow “Chia Bread Pudding” to use the user’s contents that are already maintained in an encrypted file system. The implemented solution should also try to ensure that this integration does not incur relevant overheads on the normal operation of the file system.
The work plan will include:
Study available file systems and choose one that meets the requirements of this project.
Build the integrated system, which should include measures to minimise the overheads.
Experimentally evaluate the resulting system, using realistic workloads from relevant benchmarks from the ML/data analytics/cloud domains.The expected outcome is a design and implementation of the above-mentioned integrated systems, together with a comprehensive experimental evaluation, to be presented in at least one scientific paper.
Contact email: bolsas@inesc-id.ptRefª BI|2025/682 + Project OptiGov – Refª 2024.07385.IACDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-03-21
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/682 under the scope of the project OptiGov: Aproveitar a IA para a Eficiência dos Processos na Administração Pública - ref. 2024.07385.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:
OBJECTIVES | FUNCTIONS
This work aims to harness the power of Data Science, Process Mining and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem of compliance, particularly in aligning specifications of PA processes with legal guidelines that these processes should satisfy.
The work is in the context of Task 1 of the project. It aims to define and develop a structured symbolic schema to express the PA specifications and guidelines, using logic formalisms.
Contact email: bolsas@inesc-id.pt
Contract
Public notice for one uncertain-term work contract for a Researcher reference 2025.007.CTTRI funded by the European Comission | Application submission from March 17 to 31 of 2025
Type of position: Contract
Duration: months
Deadline to apply: 2025-03-31
DescriptionResearch on quantum resistant cryptography to build defense systems.
Implementation of preselected algorithms and a novel software - hardware co-design approach.
A quantum-resistant ledger will ensure secure data sharing.
Contact email: contractos@inesc-id.ptPublic notice for one fixed-term work contract for a Researcher reference 2025.006.CTTRC
Type of position: Contract
Duration: 6 months
Deadline to apply: 2025-03-31
Description
The main goal is to participate in the development of a platform for registering data about children with complex chronic diseases, to be used by doctors from several hospitals in Portugal through a secure and understandable user interface that enables the real characterization of each group of patients.
The data registry will incorporate the following security requirements:
(i) an authentication mechanism;
(ii) an access control mechanism;
(iii) anonymization to prevent identification of individual records;
(iv) de-identification techniques to enable access to records without revealing sensitive data;
(v) encryption algorithms to protect data confidentiality;
(vi) auditability techniques to track data access and modifications;
(vii) automated backup mechanisms.
Contact email: contractos@inesc-id.pt