Computer Science, Applied Mathematics, Programming, Cryptography, Algorithms
[Closed]
Work description
- Develop a payment chain system for paying compensation based on royalties in a data-sharing context. - Explore methodologies for file/data comparison, using technical resources such as: Levenshtein distance, Hashing, Content Similarity Analysis Algorithms or N-gram analysis or others. - Explore the integration of the royalty compensation component developed in connected data spaces and in the context of market and data and its effectiveness in promoting the predisposition/incentive for data owners to share data. - Preparation of final technical report with results and analysis.
Minimum profile required
Knowledge and experience of programming in Python and JavaScript- Ability to work autonomously or as part of a team- Fluency in Portuguese or English
Preference factors
- Master's student (to be finished) or PhD - Experience in developing algorithms in python - Experience or knowledge in creating APIs, defining file bodies, headers and API tests - Knowledge of encryption methodologies and/or similarity analysis of file content - Experience in web application development - Fluency in English (written and spoken)
Application Period
Since 30 Nov 2023 to 31 Dec 2023
[Closed]
Centre
Power and Energy Systems