Positions: 14
Research Grant (BII)
Project GNS08-Chaves - IP01025-BII|2024/605
Type of position: Research Grant (BII)
Duration: 6 months
Deadline to apply: 2024-12-04
DescriptionThe selection will be according to the following criteria:
30% - demonstrated knowledge in finite field algebra. 30% - programming knowledge in algorithms and data structures. 40% - Experience in C/C# and Java as well as in discrete stochastic simulation and finite field programming, especially in the context of parallel methods.The Jury may decide to interview the two candidates with the highest evaluation score to perform a more objective evaluation of some of the criteria. The interview will count for 50% of the evaluation of each criterion above.
The jury may also decide not to assign the scholarship, if none of candidates meets the required conditions.
Contact email: bolsas@inesc-id.ptProject ATE – refª C644914747-00000023-BII|2024/604
Type of position: Research Grant (BII)
Duration: 6 months
Deadline to apply: 2024-12-04
Description
Develop a forecast framework using federated learning Evaluate the impact of FL in the EVs management Help in the implementation of FL methods Assist the research team in the production of reports and research papers.
Contact email: bolsas@inesc-id.ptGNS-BII|2024/591 - BII|2024/592 - BII|2024/593
Type of position: Research Grant (BII)
Duration: 3 months
Deadline to apply: 2024-11-29
DescriptionThe goal of this grant is to develop a cryptographic tool
requirement definition architecture definition tool implementation
Contact email: bolsas@inesc-id.pt
Research Grant (BI)
Project GraalServerless-BI|2024/598 - BI|2024/599
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2024-12-16
DescriptionGraalServerless - Empowering Serverless with GraalVM. Serverless is an exciting technology generating significant interest not only in academia but also in industry. However, despite all the attention it has received in recent years, Serverless still suffers from significant overheads that result from high overheads of virtualization systems, bloated language runtimes, etc. In this project, we aim to study how new advances in storage devices can help minimize some of the virtualization obstacles in the serverless environment by evaluating the introduction of a new storage-based caching layer.
Contact email: bolsas@inesc-id.ptProject CARMA - GA nº 101168355-BI|2024/606
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2024-12-04
DescriptionOne of the goals of the CARMA project is to develop social robots to collaborate with first responders (e.g., firefighters and police) in emergency situations.
The grant holder will develop and implement, scenarios of human-robot interaction that study different modalities of interaction and possibilities of collaboration. The case study to address is the use of the robot as a guide for the human teammates in an environment full of hazards a low visibility.
The grant holder will explore the capabilities of the robot, develop and integrate the necessary computational tools and support the design and execution of user studies.
Contact email: bolsas@inesc-id.ptProject ATE – refª C644914747-0000023 - BI|2024/603
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2024-12-04
Description
Develop edge system to manage electric vehicles at a house and building level Develop cloud algorithms based in forecasting and operational planning Develop user interfaces Help in the implementation of demonstrators in houses and buildings Assist the research team in the production of reports and research papers
Contact email: bolsas@inesc-id.ptProject MYRIARCH – Refª 2022.09325.PTDC-BI|2024/602
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2024-11-29
Description
The Myriarch project is focused on creating a multi-architecture Internet framework that preserves backward compatibility while fostering the Internet's evolution. This is achieved by integrating translation mechanisms directly into programmable hardware, including programmable ASICs, to ensure seamless interoperability across diverse network architectures.
The goal of this fellowship is to develop advanced security mechanisms—including AI-based solutions—to assess and enhance the resilience of the translators developed within the project. This includes evaluating their robustness in the context of translating with secure architectures, such as SCION.
Contact email: bolsas@inesc-id.ptProject MYRIARCH – Refª 2022.09325.PTDC-BI|2024/600
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2024-11-29
DescriptionIn the Myriarch project, we are developing a multi-architecture Internet framework that maintains backward compatibility while enabling future evolution of the Internet. This is accomplished by implementing translation mechanisms in programmable hardware, including programmable ASICs, to seamlessly interconnect diverse network architectures.
Contact email: bolsas@inesc-id.ptProject MYRIARCH – Refª 2022.09325.PTDC-BI|2024/600
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2024-11-29
DescriptionIn the Myriarch project, we are developing a multi-architecture Internet framework that maintains backward compatibility while enabling future evolution of the Internet. This is accomplished by implementing translation mechanisms in programmable hardware, including programmable ASICs, to seamlessly interconnect diverse network architectures.
Contact email: bolsas@inesc-id.ptProject ATE – Refª C644914747-0000023 - BI|2024/595
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2024-11-29
DescriptionThe objectives of these positions are to support the research team in the PRR-Agenda ATE – C644914747-00000023 / 56 project on the following tasks:
Complete the hardware and firmware of a Nonintrusive Load Monitoring (NILM) prototype. Send real-time power consumption data to a cloud-based service. Develop the cloud interface including database and graphical visualization. Develop a smartphone application for visualization and monitoring the NILM data.
Contact email: bolsas@inesc-id.ptProject CARMA - GA nº 101168355-BI|2024/601
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2024-11-28
DescriptionOne of the goals of the CARMA project is to develop social robots to collaborate with first responders (e.g., firefighters and police) in emergency situations.
The grant holder will develop and implement, scenarios of human-robot interaction that study different modalities of interaction and possibilities of collaboration. The case study to address is the use of the robot as a guide for the human teammates in an environment full of hazards a low visibility.
The grant holder will explore the capabilities of the robot, develop and integrate the necessary computational tools and support the design and execution of user studies.
Contact email: bolsas@inesc-id.ptProj. ACCELERAT.AI – Refª C644865762-00000008 - BI|2024/596
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2024-11-27
Description- develop non-invasive, cost-effective diagnostic tools in veterinary medicine.
- take advantage of Large Language Models to (semi-)automate the writing of veterinary reports.
Contact email: bolsas@inesc-id.ptProject CRAI – refª C628696807-00454142-BI|2024/597
Type of position: Research Grant (BI)
Duration: 6 months
Deadline to apply: 2024-11-27
DescriptionThis grant aims to investigate the usage of approximate features based on moving averages in the context of AI-based financial fraud detection system, in contrast to the classical approach based on the use of exact features. In more detail, the work will explore and quantify the trade-offs that emerge both for what concern the quality of the resulting AI model as well as the costs' reduction (especially in the inference phase, but also during the model's train phase) stemming from the use of approximate features.
Contact email: bolsas@inesc-id.ptProject CRAI – refª C628696807-00454142-BI|2024/594
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2024-11-26
DescriptionThere is a recent trend that consists in deploying machine learning applications in microservices architectures. Microservices have several advantages but also have some risks. The concurrent execution of microservices may cause application invariants to break. In ML applications, these violations of invariants may affect the quality of the model or the quality of the inference. This work will study the use of tools for detecting violations of invariants in ML applications.
Contact email: bolsas@inesc-id.pt