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Job ID: 250597

INESC TEC | Research Grant (AE2024-0217)
INESC TEC

Research Opportunities

Systems Engineering; Information Systems

Work description

The training area of the scholarship is data management and governance, applied to industry. It involves issues of digital maturity, data sharing, data ecosystems, methodological aspects of the design and implementation of data management strategies and the design of consultancy services in this area. The main activities to be carried out by the grant holder are:

Systematically analyse and characterise existing tools for characterising the maturity of corporate data management and the creation of data ecosystems. Developing a personalised data management maturity assessment methodology for the Portuguese industrial sector. Collaborate in defining a management strategy for sectoral data sharing ecosystems. Collaborating in the establishment of pilots to populate ecosystems and evaluate the

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Research Opportunities

Artificial Intelligence

Work description

1) Development of workflows and methods enabling AI testing to support the safe operation of local energy communities and microgrids.

2) Develop methodologies for assessing the robustness and safety of AI-based decision and control systems, considering risk assessment aligned with the EU AI Act.

3) Validate the developed methodologies on real data and with real consumers/prosumers.

4) Dissemination of the work in international journals and/or conferences.

Minimum profile required

Previous academic background in or electrical engineering or applied mathematics or computer science or informatics or similar

Preference factors

Past experience (or academic background) with machine learning. Academic background in energy systems. Programming knowledge in Python.

Maintenance stipend: € 1801,00, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a

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Job ID: 250599

INESC TEC | Research Initiation Grant (AE2024-0563)
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. Develop IoT network optimization algorithms with the goal of reducing the energy consumption while maintaining the quality of service. Write publications in co-authorship within the scope of the work developed. Write the final activity report of the grant.

Academic Qualifications

Student in Electrical Engineering or similar

Minimum profile required

Solid knowledge in TCP/IP stack and Linux. Programming skills in C++ and

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