Positions: 4

Research Grant (BII)

  • BII|2025/687-Project GRID (I3IA003016) – UIDB/50021/2020

    Type of position: Research Grant (BII)
    Duration: 6 months
    Deadline to apply: 2025-04-08
    Description

    ONE (1) research grant for students that are enrolled in a BSc or MSc program with reference number BII|2025/687 under the scope of the project GRID (I3IA003016) – UIDB/50021/2020 funded by INESC-ID, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Eligible candidates must be undergraduate or master's students in Computer Engineering, Computer and Electrical Engineering, Information Systems and Computer Engineering, or similar fields. Candidates must have a minimum of a BSc (Licenciatura) degree in relevant disciplines.

     

    Candidates should demonstrate:

    - Interest and experience in IT systems administration and development of parallel processing solutions, information systems, computer networks, cluster and cloud computing

    - Strong programming and operating systems background

    - Experience with development, deployment, and management of high-performance distributed and parallel computing clusters

    - Proficiency in distributed storage systems, operating systems, and network administration

    - Software management skills (maintenance, packaging, deployment)

    - Experience with distributed filesystems and schedulers

    - Good communication skills, as user support activities will be part of their responsibilities

    - Proficiency in both Portuguese and English, both spoken and written

     

    Additional requirements:

    - Candidates must not have any pending/failed courses

    - Relevant practical experience is valued

     

    # Work Plan

     

    - IT infrastructure administration tasks

    - IT infrastructure maintenance tasks

    - IT infrastructure development tasks

    - Study and development of IT management solutions


    Contact email: bolsas@inesc-id.pt

Research Grant (BI)

  • BI|2025/686 - Project SARC-RON-AI – refª2024.07252.IACDC

    Type of position: Research Grant (BI)
    Duration: 3 months
    Deadline to apply: 2025-04-10
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/686 under the scope of the Project SARC-RON-AI - Sarcoma Clinical Data Integration with AI-Driven Automation for the National Oncology Registry with the refª 2024.07252.IACDC, funded by Fundação para a Ciência e a Tecnologia, is available under the following conditions:

    OBJECTIVES | FUNCTIONS 

    The SARC-RON-AI project plans to analyze clinical Electronic Health Records (EHR), from two clinical oncology reference centres (Unidade Local de Sáude Santa Maria and Instituto Português de Oncologia de Lisboa Francisco Gentil), to automate registry processes in the southern region of RON (Registo Oncológico Regional Sul – ROR-Sul), streamlining the extraction of key diagnostic and prognostic information. This will require: Harmonization and analysis of EHR data, including automation using Large Language Models (LLMs), and Development of analytical models for predictive analytics, including survival analysis and prognostic modeling.


    Contact email: bolsas@inesc-id.pt

  • Refª BI|2025/688-Project BIG - Refª 952226

    Type of position: Research Grant (BI)
    Duration: 6 months
    Deadline to apply: 2025-04-08
    Description

    ONE (1) research grant for students with BSc degree with reference number BI|2025/688 under the scope of the Project BIG – refª Refª 952226, funded by European Commission, is available under the following conditions:

     

    OBJECTIVES | FUNCTIONS 

    Development of techniques to analyze the economical security of Ethereum smart contracts with a focus on price manipulation resistance by leveraging and combining traditional static program analysis techniques such as symbolic execution and taint analysis.

     

    A successful candidate is expected to create a tool that can detect locations within a smart contract which might be vulnerable to price manipulation attacks and perform an evaluation on existing deployed smart contracts to evaluate the precision and recall of the proposed solution as well as the prevalence of such vulnerable smart contracts in the wild.

     


    Contact email: bolsas@inesc-id.pt

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