Positions: 7

Research Grant (BI)

  • BI|2025/704 - Project WELL - refª2024.07494.IACDC

    Type of position: Research Grant (BI)
    Duration: 4 months
    Deadline to apply: 2025-05-23
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/704 under the scope of the Project WELL-Wallet for ELectronic heaLth records – refª2024.07494.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    This project will entail developing a secure cloud-of-clouds storage platform for Electronic Health Records (EHRs), which will then be integrated with a public blockchain to ensure data integrity and immutability. Simultaneously, a front-end will be designed and built for the MedPlum EHR application, facilitating seamless access and management of EHRs stored within the secure cloud-of-clouds platform and leveraging the blockchain's capabilities. Key activities will include defining a robust access control mechanism, designing smart contracts for data validation and sharing, and establishing secure API connections between the cloud storage, blockchain, and MedPlum application, all while prioritizing data security and compliance with relevant healthcare regulations


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/702 - Project WELL - refª2024.07494.IACDC

    Type of position: Research Grant (BI)
    Duration: 4 months
    Deadline to apply: 2025-05-23
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/702 under the scope of the Project WELL-Wallet for ELectronic heaLth records – refª2024.07494.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    The project will focus on establishing the foundational elements of the system. This includes designing and developing the secure protocol for creating, reading, and sharing Electronic Health Records (EHRs). Parallel to this, the development of the Android blockchain Wallet will commence, with an emphasis on secure key management and transaction processing. Simultaneously, work on the front-end for the MedPlum Electronic Medical Records platform will begin, focusing on user interface design and integration with the secure protocol. Key tasks include defining API endpoints for EHR access and management, establishing rigorous security testing protocols, and developing comprehensive documentation for both developers and end-users. We also need to define the data structures for EHRs and anonymized data to ensure interoperability. 

     

    Key tasks include developing automated testing suites, conducting user acceptance testing, and preparing deployment packages for both the Android application and the MedPlum platform.  We'll also define a clear process for data migration and ongoing maintenance. A significant component will be ensuring compliance with relevant healthcare regulations and data privacy standards. Finally, documentation updates and user training materials will be finalized before launch.


    Contact email:

  • BI|2025/703 - Project WELL - refª2024.07494.IACDC

    Type of position: Research Grant (BI)
    Duration: 4 months
    Deadline to apply: 2025-05-23
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/703 under the scope of the Project WELL-Wallet for ELectronic heaLth records – refª2024.07494.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    This project will focus on developing and integrating key components within the MedPlum Electronic Medical Records platform. First, a blockchain wallet will be integrated, enabling secure patient data ownership and control. Concurrently, a secure cloud-of-clouds storage platform will be integrated, providing a robust and scalable storage solution for EHRs. Following these integrations, a suite of comprehensive integration tests will be developed and executed to ensure seamless functionality and data integrity between all components. Finally, detailed documentation will be created, covering all aspects of the system architecture, API usage, and operational procedures, targeting both developers and end-users.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/705-Project PICASSO - refª 2024.07300.IACDC

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-05-23
    Description

    ONE (1) research grant for students with MSC degree with reference number BI|2025/705 under the scope of the Project PICASSO - Pediatric Palliative Care Support System– refª 2024.07300.IACDC funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    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: bolsas@inesc-id.pt

  • BI|2025/700 - Project DIXcover

    Type of position: Research Grant (BI)
    Duration: 12 months
    Deadline to apply: 2025-05-16
    Description

     

    ONE (1) research grant for students with Master degree with reference number BI|2025/700 under the scope of the Project DIXCover - I3PR009045 funded by INESC-ID, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Application of deep learning methods to digital pathology

    Development of deep learning algorithms for the computational analysis of whole-slide images. The objective is to identify relevant biological features and to perform cell counting in Ki-67 stained slides. These results will then be included in a pipeline for the diagnostic of the existence and proliferation level of tumors in human tissues.


    Contact email: bolsas@inesc-id.pt

  • BI|2025/701 - Project DIXcover

    Type of position: Research Grant (BI)
    Duration: 12 months
    Deadline to apply: 2025-05-16
    Description

     

    ONE (1) research grant for students with Master degree with reference number BI|2025/701 under the scope of the Project DIXCover - I3PR009045 funded by INESC-ID, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Deep neural network architectures for explainable dual-process computation 

    Design and development of deep neural network architectures and algorithms for the implementation of dual process computation 

    approaches that improve the ability of existing vision and language models to reason using language and visual inputs. Particular attention will be given to studying approaches to reasoning in continuous latent spaces and to the issue of explain ability of new and existing approaches.


    Contact email: bolsas@inesc-id.pt

Contract