Positions: 9

Research Grant (BI)

  • project Center for Responsible AI – Refª C628696807-00454142 - BI|2024/536

    Type of position: Research Grant (BI)
    Duration: 4 months
    Deadline to apply: 2024-07-22
    Description

    Design, develop and evaluate methods for estimating the expected impact of retraining or fine-tuning machine learning models.  The objective is to automate the decision process underlying the choice of undergoing computational expensive update processes of Machine Learning (ML) models, in order to contribute to the establishment of sustainable AI systems. The grant assignee will look at machine learning models that target a spectrum of application domains, ranging from financial fraud detection to NLP.


    Contact email: rh@inesc-id.pt

  • NEUROPULS - GA Nº101070238 - BI|2024/545

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2024-07-05
    Description

    The grantee will develop his work in the context of the NEUROPULS project, that is researching next-generation low-power and secure edge-computing systems with a RISC-V compliant interfaces and a novel full-system simulation platform.

    The work include the design and development of a low-power and secure RISC-V SoC and interface to a neuromorphic accelerator based on the integration of silicon photonics, novel PCMs, and Q-switched III-V lasers.

    The goals of the project include delivering a SoC with a RISV-V implementation targeting a FPGA Zynq UltraScale+ RFSoC, interfacing the photonic accelerator chip, and the set of toolchains to compile and deploy project user cases on the system.


    Contact email: rh@inesc-id.pt

  • Project WSMART ROUTE+ - Refª 2022.04180.PTDC BI|2024/549

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2024-07-04
    Description

    The WSmart Route+ project studies a new paradigm on smart route management. Data analytics combined with route optimization will be explored to improve service routes (for instance waste collection) coperation supporting the adoption of a route planning based on dynamic routes as opposed to the traditional blind collection that is based on static routes.

    The Research problem involves optimization of sensor placement and planning of service routes for several real-world situations (e.g.: Recycling Bin network, Fire detection stations, etc).

    The student will work with Stochastic and Classical Optimization methods, and Machine Learning, comparing classical algorithms with recent approaches, e.g. deep reinforcement learning or submodularity, and hopefully developing new ones.


    Contact email: rh@inesc-id.pt

  • Project SmartRetail – refª C6632206063-00466847-BI|2024/547

    Type of position: Research Grant (BI)
    Duration: 5 months
    Deadline to apply: 2024-07-01
    Description

    This internship project aims to systematically develop and catalog design patterns for Privacy Enhancing Techniques (PETs) that can be applied to various privacy-enhancing problems in software engineering. Specifically, this project aims to explore and formalize design approaches that optimize privacy without sacrificing system performance or user experience. To accomplish this, three main tasks will be pursued: 1) research and analyze existing PETs to extract common design elements and strategies, 2) develop a framework of design patterns that are adaptable to different technological environments and use cases, and 3) validate these patterns through prototype implementations and peer reviews. The expected deliverables of this project include a comprehensive catalog of privacy design patterns and a set of prototype models that demonstrate the practical application of these patterns in real-world scenarios.


    Contact email: rh@inesc-id.pt

  • Project SmartRetail – refª C6632206063-00466847-BI|2024/548

    Type of position: Research Grant (BI)
    Duration: 5 months
    Deadline to apply: 2024-07-01
    Description

    This internship project aims to improve the educational resources available for teaching privacy concepts in an academic setting. Specifically, this project seeks to improve existing educational materials to better cover current privacy laws, technologies, and practices. To accomplish this, three main tasks will be pursued: 1) review and evaluate current privacy education materials used in higher education, 2) develop updated content that incorporates the latest privacy regulations and technology solutions, and 3) create interactive teaching tools that facilitate active learning and engagement. The expected outcomes of this project include a comprehensive report detailing the improvements made to the educational materials and a set of new educational resources that can be integrated into privacy-related courses.


    Contact email: rh@inesc-id.pt

  • Proj. SmartRetail – refª C6632206063-00466847-BI|2024/546

    Type of position: Research Grant (BI)
    Duration: 5 months
    Deadline to apply: 2024-07-01
    Description

    The goal of this internship project is to rigorously test the implementation of various Privacy Enhancing Techniques (PETs) within a technology-focused organization. Specifically, the project aims to evaluate the effectiveness and efficiency of current PETs in real-world scenarios to identify potential areas for improvement. To accomplish this, three main tasks will be pursued: 1) analyze and categorize existing PETs implementations according to their design and intended use cases, 2) conduct systematic testing of these technologies to assess their performance and compliance with privacy standards, and 3) document and analyze the results to provide actionable feedback and recommendations for improvement. The expected deliverables of this project include a detailed report of test results and a set of guidelines for optimizing PET implementations.


    Contact email: rh@inesc-id.pt

Contract