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Research Opportunity

Computer Science or Electrical or Mechanical Engineer or similar

[Open]

Work description

This work programme considers the participation on the following activities: - 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. - Create/adapt the hybrid models for incremental operations and data streams. - Adapt these behavior models to possible data-driven services. This project involves the collaboration of EFACEC, INEGI and MIT Portugal institutions. It is also predicted the collaboration in lectures activities.

Academic Qualifications

- Licentiate or Master's degree in Computer Science or Electrical or Mechanical Engineering or similar. - The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions.

Minimum profile required

- Licentiate or masters final graduation mark higher or equal to 14.- Fluency in English (spoken and written)- Knowledge in Data Generators (Data Synthesis).

Preference factors

- Enrollment in a doctoral program in Electrical, Mechanical Engineering, Computer Science or similar; - Experience in participating in research projects; - Experience in Machine Learning, Data Mining and Power Transformers;

Application Period

Since 14 Oct 2020 to 28 Oct 2020

[Open]

Cluster / Centre

Computer Science / Artificial Intelligence and Decision Support

Scientific Advisor

Ricardo Teixeira Sousa