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Job ID: 256549

INESC TEC | Research Grant (AE2025-0183)
INESC TEC

Research Opportunities

Power Systems

Work description

Manage database resources developed in the project to support effective data exchange between distributed energy assets. Keep updated the versions of the Protocol Converter of legacy systems developed in the project and update the records of data exchanges in distributed energy resources. Manage and maintain the load prediction tools for powering battery dispatch services and photovoltaic generation forecasting. Analyze battery operation and photovoltaic generation data to calculate performance indicators defined in the project. Write the scholarship activity report.

Academic Qualifications

Computer engineering, computer science, data science or similar areas.

Minimum profile required

Student of Computer Engineering, Computer Scientist, data science or similar areas. Fluency in English (written and spoken). Experience

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RSS Feed Source: Academic Keys

Job ID: 256551

INESC TEC | Research Grant (AE2025-0186)
INESC TEC

Research Opportunities

Telecommunications

Work description

Survey the state of the art in emerging wireless networks, including their simulation using real data assimilation, machine learning, and digital twin approaches; Collaborate in the writing of technical reports on communications protocols, algorithms, and mechanisms developed; Develop new modules enabling the simulation and/or experimentation of emerging wireless networks; Write publications in co-authorship within the scope of the work developed; Write the final activity report of the grant.

Academic Qualifications

Bachelor in Electrical Engineering or similar.

Minimum profile required

Solid knowledge in TCP/IP stack and Linux; Programming skills in C++ and Python; Solid experience in ns-3 simulator, including the implementation of Digital Twins for 5G nodes capable of assimilating experimental data;

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RSS Feed Source: Academic Keys

Job ID: 256550

INESC TEC | Research Grant (AE2025-0185)
INESC TEC

Research Opportunities

Mobile Robotics

Work description

Integration with ROS and RealSense camera; Annotation of datasets for training neural networks; Training of neural networks; Integration of the trained model into a pipeline for subsequent estimation of the position of the metal box. Laboratory Tests of the Developed Solution;

Academic Qualifications

Candidate must be enrolled in an undergraduate and/or master’s degree in electrical engineering, computer science or similar;

Minimum profile required

Candidate must be enrolled in an undergraduate and/or master’s degree in electrical engineering, computer science or similar; Experience in C/C++ and/or Python programming.

Preference factors

Participation in extracurricular activities related to robotics or automation is valued; Knowledge of Artificial Intelligence (AI) frameworks; Knowledge of ROS;

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