RSS Feed Source: Academic Keys

Job ID: 259622

INESC TEC | Research Grant (AE2025-0261)
INESC TEC

Research Opportunities

Computer Science

Work description

Development of model/process chains that enable AI-based assistants to support human operators’ decisions in power systems under model risk and uncertainty, and considering joint human-AI learning. Develop methodologies to assess the robustness and safety of human decisions assisted by AI, hybrid co-learning between AI and humans, and fully autonomous AI, considering risk assessment aligned with the EU AI Act, as well as reliability and robustness quantified through the provision of guidelines on how to create and use “adversarial” datasets. Validate the developed methodologies using real data and simulators. Dissemination of the work in national and/or international journals and conferences.

Academic Qualifications

Degree in Computer Science, Informatics of similar area

Minimum profile

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RSS Feed Source: Academic Keys

Research Opportunities

Business systems engineering; Optimisation of logistics processes

Work description

Design and development of optimisation models and algorithms for planning and scheduling problems in container terminal logistics operations. Evaluating the approaches developed and analysing results (KPIs). Writing scientific articles and the grant activity report.

Academic Qualifications

Master in Industrial Engineering and Management.

Minimum profile required

Master’s in Industrial Engineering and Management. Knowledge of English and Portuguese.

Preference factors

Knowledge of Operational Research and Operations Management. Experience in optimisation and programming in Python, Java or similar. Ability to work autonomously and as part of a team.

Maintenance stipend: € 1309.64, 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 quarterly evaluation process (Articles 19, 21 and 22 of the Regulations

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RSS Feed Source: Academic Keys

Job ID: 259623

INESC TEC | Post Doctoral Research Grant (AE2025-0274)
INESC TEC

Research Opportunities

Power Systems

Work description

Development of methodologies to explain the results of power grid optimization problems, combining operations research and artificial intelligence. Develop methodologies that combine physical models with data-driven machine learning methods. Validate the developed methodologies using real data. Disseminate 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: € 1851.00, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded

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RSS Feed Source: Academic Keys

Job ID: 259626

INESC TEC | Research Initiation Grant (AE2025-0276)
INESC TEC

Research Opportunities

Power Systems

Work description

Definition of requirements for viability of B2B and B2C customer participation in the aggregation case study, as well as flexible resources. Develop algorithms for the production of graphic results of case study simulations with customer data from Living Lab. Reports with case study simulations with customer data from Living Lab. Write the grant Activities Report.

Academic Qualifications

Electrical Engineering, Computer Engineering or related areas.

Minimum profile required

Student from the area of Electrical Engineering or Computer Science or related areas. English fluency (written and spoken). Basic knowledge in programming, preferably in python. Knowledge about energy systems and optimization.

Preference factors

Knowledge about the operation of electrical systems.

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