RSS Feed Source: Academic Keys

Research Opportunities

Artificial Intelligence; Multi-Agent Systems

Work description

The training area of the scholarship is Artificial Intelligence, with a focus on the study of approaches that facilitate the integration of tools typically used in industry, such as simulation, planning and/or optimisation tools and models, with new approaches to industrial AI, namely those based on agents and Multi-Agent Systems.

The main objective is to contribute to the creation of interfaces that allow natural interaction with these types of systems, and their use by agents in the form of tools. Specifically, the main activities to be carried out by the grant holder are:

To analyse the state of the art of current approaches to the development and integration of tools with agents. To contribute to the development of interfaces that allow agents to interact naturally with information systems and typical tools in the industrial area,

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RSS Feed Source: Academic Keys

Job ID: 257957

INESC TEC | Research Grant (AE2025-0241)
INESC TEC

Research Opportunities

Energy

Work description

Implementation of human-AI-digital twin interaction strategies. Explore methodologies for digital twin simulation for artificial intelligence algorithms. Prepare technical documentation in GitHub.

Academic Qualifications

Studies in electrical and computer engineering or informatics or similar.

Minimum profile required

Knowledge of Python programming.

Preference factors

Fluency in English (spoken and written). Knowledge of power systems operation. Experience in developing and testing software modules.

Maintenance stipend: € 1040.98 or 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 for Grants of INESC TEC and

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RSS Feed Source: Academic Keys

Research Opportunities

Inteligência Artificial, Machine Learning

Work description

The training area of the scholarship is Artificial Intelligence, with a focus on Machine Learning, and in particular the development of datasets, evaluation benchmarks and fine-tuning of models for specific tasks / domains.

The area of application of the grant holder’s contributions will be industry. It is therefore hoped that this scholarship will contribute to the adoption of language models and/or multi-modal models by industry, especially in specific, high-value tasks that may not be covered by proprietary, pay-as-you-go models.

Specifically, the main activities to be carried out by the grant holder are:

Identifying and characterising typical, high-value tasks in industry that could benefit from integration with Generative AI models (e.g. text, vision, multi-modal). Creation of synthetic datasets and/or acquisition of real datasets for model fine-tuning. Generation of domain- and/or task-specific evaluation benchmarks for the tasks

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RSS Feed Source: Academic Keys

Job ID: 257960

INESC TEC | Research Grant (AE2025-0242)
INESC TEC

Research Opportunities

Energy

Work description

Implementation of human-AI-digital twin interaction strategies. Explore methodologies for digital twin simulation for artificial intelligence algorithms. Prepare technical documentation in GitHub.

Academic Qualifications

Studies in electrical and computer engineering or informatics or similar.

Minimum profile required

Knowledge of Python programming.

Preference factors

Fluency in English (spoken and written). Knowledge of power systems operation. Experience in developing and testing software modules.

Maintenance stipend: € 1040.98 or 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 for Grants of INESC TEC and

Click this link to continue reading the article on the source website.