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Research Opportunity
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Research Opportunity

Modeling, Power Transformers, Data Mining, Knowledge Based Engineering and Digital Twin


Work description

-Analysis of use cases and definition of the specific goals and requisites(e.g., what data should be used); -Collect data and perform pre-processing (e.g., remove noise, damaged data,...) -Describe the data from the power transformers sensors(e.g., through statistical descriptors); -Study the underlying physical models(e.g. electrical model, mechanical model); -Create empirical models using Neural Networks or methods that are more suitable.; -Combine physical models with empirical models and yield hybrid models( base of Digital Twin).; -Create/adapt the hybrid models for incremental operations and data streams.; -Adapt these behavior models to possible data-driven services.

Academic Qualifications

Master's in Computer Science, Electrical or Mechanical Engineering or similar

Minimum profile required

Experience in knowledge management in organizations; Fluency in the english language, (spoken and written); Mastering of the digital-twin concep; - Experience in Machine Learning and Data Mining

Preference factors

Previous participation in R&D projects. Scientific publications in the area

Application Period

Since 07 Sep 2020 to 25 Sep 2020


Cluster / Centre

Computer Science / Artificial Intelligence and Decision Support

Scientific Advisor

Ricardo Teixeira Sousa