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Project sheet

Name

SYSTEC Chair in control systems and machine learning based computational technologies

Total project amount

83,7 thousand €

Amount paid

83,7 thousand €

Non-refundable funding

83,7 thousand €

Loan funding

0 €

Start date

01.07.2025

Expected end date

31.03.2026

Dimension

Resilience

Component

Qualifications and Skills

Investment

Science Plus Training

Operation code

02/C06-i06/2024.P2023.11089.TENURE.025

Summary

Job Description: This position is tailored for a specialist in control systems and robotics, requiring a Ph.D. in Electrical and Computer Engineering or related fields. Core responsibilities encompass conducting, organizing, and coordinating scientific activities spanning control systems, robotics, machine learning, vision-based methodologies, and artificial intelligence. The primary objective is to contribute significantly to the development of methodological tools and algorithms, emphasizing the explicit integration of safety constraints and explainability in robotic related applications. The role places strong emphasis on research with a substantial impact on the UN Sustainable Development Goals. Responsibilities will also include publishing research findings in international peer-reviewed prestigious journals and conference proceedings in the area, preparing patent applications and collaborate with industrial property agents to finalize patent texts, supporting the management of approved projects, including preparing project proposals and organizing conferences and scientific events. The role involves collaboration with academic and industry partners, at national and international levels. A crucial prerequisite is a well-documented track record of previous experience, demonstrated through high quality publications. Teaching experience in engineering degrees is appreciated. Scientific Profile: The ideal candidate is expected to possess a Ph.D. in Electrical and Computer Engineering or a related field, with a specialization in control systems and robotics. Their expertise is pivotal for advancing dependable systems in motion control, guidance, and navigation of autonomous robotic vehicles across various scenarios, encompassing space, aerial, and underwater environments. Proficiency extends to mobile and collaborative robotics in Industry 4.0 scenarios, encompassing expertise in perception algorithms, reactive planning, navigation, and control systems. The candidate´s ultimate objective is to empower mobile robots to operate autonomously in unstructured environments while ensuring effective human-robot collaboration with guaranteed safety measures. Integrating optimization-based control technology, machine learning and perception into these domains are also crucial, driving solutions with real-world impact. The potential employee´s role as a leader and coordinator of scientific activities resonates with the institution´s commitment to pioneering research and contributing to societal development. Emphasizing impactful publications underscores a comprehensive dedication to research and development excellence. Potential employees are prepared to play a key role in strengthening the institution´s reputation for research and enabling it to achieve sustainable and impactful results. Rationale: The position focuses on a specialist in control systems and robotics, aligning with the growing relevance of autonomous systems in various domains. The candidate´s expertise is crucial for advancing research in the motion control, guidance, and navigation of autonomous robotic vehicles, covering applications like self-driving cars, trucks, ships, aerial vehicles, and remote monitoring. Proficiency in mobile and collaborative robotics is significant for Industry 4.0 scenarios, contributing to perception algorithms, reactive planning, navigation, and control systems, aiming to enable mobile robots to operate autonomously in unstructured environments while ensuring safety and effective collaboration with humans. Within the context of addressing challenges in robotics, advanced production systems, autonomous vehicles for data gathering and intervention purposes in science, environment, natural resources management, the field of control systems and robotics aligns with the United Nations Sustainable Development Goals. Aligned with the vision of SYSTEC, affiliated with the Associated Laboratory ARISE – Advanced Production and Intelligent Systems, the potential employee assumes a crucial role in advancing research and development. SYSTEC aspires to attain recognition as a Center of Excellence, nurturing the co-evolution of theoretical developments and engineering methodologies. The candidate´s expertise aligns seamlessly with SYSTEC´s focus areas, including Control Systems, Optimization, and associated applications, as well as Autonomous Robotic Vehicles and Collaborative Robotics. At ARISE level it will contribute to the research lines TL2-Advanced Production Systems and Processes and TL4- Intelligent Systems and Robotics. Through contributions to these domains, the candidate actively participates in fulfilling SYSTEC´s mission, positioning it at the forefront of science and technology in these impactful fields.

Beneficiaries

Within the scope of the Recovery and Resilience Plan, two types of beneficiaries are responsible for carrying out the projects and using the funding provided. Due to their similar role, the reference to these two types of beneficiaries has been simplified and unified under the term "Beneficiary".
The two types are::
  • Direct Beneficiaries are those whose funding and projects to implement are part of the Recovery and Resilience Plan that has been negotiated and approved by the European Union;
  • Final Beneficiaries are those whose funding and projects to implement are approved following a selection process through Calls for Applications.

Call for applications

As part of the Call for Applications, submissions are requested to select the projects and final beneficiaries to whom funding will be awarded. Specific selection criteria are defined for each call, which must be reflected in the applications submitted and assessed.

The project is appraised on the basis of its compliance with the selection criteria laid down in the calls for applications, and a final score may be awarded, where applicable.

Final evaluation score

9,0
Important note

The components for calculating the assessment score can be found in the selection criteria document mentioned below.

Selection criteria

The funding selection criteria to which this project and its final beneficiary were subject and its score can be found in detail on the Recuperar Portugal platform.

Beneficiaries

Intermediate beneficiaries

Beneficiaries

Procurement

Beneficiaries representing public entities implement their project by signing one or more contracts with suppliers for goods or services through public procurement procedures.

To ensure and provide the utmost transparency in all these contracts, a list of the contracts that were signed under this project is available here, along with the information available on the Base.Gov platform. Please note that, according to the legislation in force at the time the contract was signed, some exceptions do not require the publication of the contracts signed on this platform, and, therefore, no information is available in such cases.

Geographic distribution

83,7 thousand €

Total amount of the project

Percentage of the amount already paid for implementing projects

, 100 %,

Where was the money spent

By county

1 county financed .

  • Porto 83,7 thousand € ,
Source EMRP
10.02.2026
All themes
Transparency without leading