The Consortium for the Research in Automation and Telecommunication (CRAT) intends to
establish a list of qualified experts to carry out research and experimental development activities in
the following areas:

• Telecommunication Networks Research Program
• Data-driven and Intelligent Control Systems Research Program
• Energy Networks Research Program
• Innovative Transport Networks Research Program
• Satellite Systems Research Program
• Critical Infrastructure Research Program
• Industry 4.0 Research Program
• eHealth Research Program

This list will be used to identify and recruit professionals with specific skills and knowledge, who will
contribute to achieving the objectives and carrying out activities within the Consortium’s research
projects and/or contracts.

1. Objective of the Call

This call aims to collect expressions of interest from candidates to form a pool of experts in various
scientific and technological fields. Candidates may be selected to contribute to specific projects
based on the individual needs of the programs, performing the following activities:

• Scientific research and experimental development
• Technological innovation
• Strategic consultancy and support
• Project coordination and management
• Dissemination and transfer of scientific results
• Integration and prototyping

2. Research Programs of Interest

The Consortium seeks experienced candidates for the following scientific programs:

• Telecommunication Networks Research Program: This program focuses on the design, simulation, and development of architectures and algorithms (both centralized and distributed) for the control and optimization of fixed and mobile telecommunication networks (Future Internet networks, SDN/NFV-based networks, 5G+/6G cellular networks, heterogeneous networks, ad hoc networks, etc.). Special emphasis is placed on control and optimization issues, using innovative methodologies (e.g., Model Predictive Control, Reinforcement Learning, neural networks, artificial intelligence techniques for Big Data analysis, etc.) to efficiently utilize available resources (bandwidth, computational capacity, etc.) while respecting the constraints imposed by customized Quality of Service (QoS) and/or Quality of Experience (QoE) requirements for various applications.
• Intelligent and Data-driven Control Systems Research Program: This program focuses on the design, simulation, and development of controllers (both centralized and distributed) and analytical tools for managing and optimizing complex systems using data analysis and machine learning solutions. Key areas of interest include territory monitoring and control (e.g., using IoT sensor networks and satellite imagery), predictive process optimization (e.g., based on Model Predictive Control or Reinforcement Learning integrated with neural networks and AI predictive solutions), fault and anomaly detection and prediction (with particular attention to predictive quality and zero-waste manufacturing), heterogeneous and complex feedback analysis (e.g., extracting measurements from images and videos or analyzing satellite data), and the development of ad-hoc training algorithms for the synthesis and coordination of distributed controllers over sparse communication networks (e.g., using consensus theory and federated learning solutions).
• Energy Networks Research Program: This program focuses on the design, simulation, and development of architectures and algorithms (both centralized and distributed) for controlling and optimizing the generation, transmission, distribution, and use of energy in next-generation power grids (smart grids). Special attention is given to control and optimization using innovative methodologies (e.g., Model Predictive Control, Reinforcement Learning, neural networks, artificial intelligence techniques) to efficiently manage available resources (renewable energy, flexible loads, storage elements, network devices) while adhering to the constraints of users and various network and market actors.
• Innovative Transport Networks Research Program: This program focuses on the design, simulation, and development of architectures and algorithms (both centralized and distributed) for controlling and optimizing transportation systems based on electric and hybrid vehicles. Key areas of interest include journey planning, optimization, and intelligent charging control using innovative methodologies (e.g., Model Predictive Control, Reinforcement Learning, neural networks, artificial intelligence techniques for Big Data analysis) that integrate the provision of ancillary services (e.g., for the electric grid) while respecting the constraints imposed by users and operators of transport and energy infrastructure.
• Satellite Systems Research Program: This research program focuses on the design, simulation, and development of architectures and algorithms (both centralized and distributed) for problems related to satellite network traffic control and management, territory monitoring, satellite orientation control, ad hoc network control for planetary exploration, and other space-related issues. The methodologies used are linked to control theory (e.g., robust control for systems with delays, robust control of nonlinear systems, Model Predictive Control, Reinforcement Learning, etc.) and may be integrated with artificial intelligence techniques.
• Critical Infrastructure Research Program: This research program focuses on the design, simulation, and development of architectures and algorithms (both centralized and distributed) for managing critical infrastructures (energy distribution and transmission networks, water networks, communication networks, etc.) for fault detection, prevention of malicious actions, and minimizing their impact. The reference methodologies are related to control theory (e.g., fault-tolerant control, Model Predictive Control, Reinforcement Learning, etc.) and optimization (e.g., mixed nonlinear programming, genetic algorithms, etc.), possibly integrated with artificial intelligence techniques.
• Industry 4.0 Research Program: This research program focuses on the design, simulation, and development of architectures and algorithms (both centralized and distributed) for controlling and optimizing industrial processes. Special interest lies in planning, control, and management using innovative methodologies (e.g., distributed optimal control, multi-agent architectures based on artificial intelligence, hybrid techniques) for complex industrial processes with strong constraints related to safety and efficiency.
• eHealth Research Program: This research program focuses on the design, development, and engineering of algorithms based on advanced artificial intelligence and control methodologies, such as deep neural networks, Big Data, Model Predictive Control, aimed at creating cohesive and comprehensive ecosystems (decision support systems) to assist medical and healthcare personnel in decision-making related to prevention, diagnosis, prognosis, including personalized rehabilitation for pathologies, and supporting patients in their therapeutic and rehabilitative journeys (cognitive systems).

3. Elegibility and Requirements

Applicants must meet at least one of the following requirements:

• Bachelor’s or Master’s degree in fields relevant to the research programs mentioned;
• PhD in fields relevant to the research programs mentioned;
• Documented experience in research projects, in academic, industrial, or institutional settings, at national or international level;
• Specific skills in the design and/or management of funded research projects (e.g., Horizon Europe, national projects);
• Ability to work in interdisciplinary teams and linguistic skills suitable for an international environment.

4. Application Submission

Interested candidates are invited to submit:

• Application Form (available for download here);
• Detailed Curriculum Vitae, highlighting professional experiences and scientific expertise;
• Certificates supporting qualifications and competencies, if available.

Applications should be submitted digitally to the email address: info@crat.eu. The call remains open, and candidates may submit their applications at any time. However, selections will be made based on the project needs that arise over time.

5. Selection Process and Criteria

The selection will pay particular attention to adherence to the European Code of Conduct for the Recruitment of Researchers, with special reference to the following principles:

• Transparency in the selection process, ensuring candidates are informed about the selection criteria and steps involved;
• Fair and impartial evaluation of candidates, based on specific skills and qualifications, without bias;
• Recognition of candidates’ experience and mobility, considering them as added value for professional growth;
• Recognition of academic and professional qualifications, valuing merit regardless of the institution of origin.

Applications will be evaluated by a commission appointed by the Consortium, taking into account the following additional criteria:

• Consistency between the candidate’s profile and the Consortium’s needs;
• Level and relevance of professional experience;
• Technical and transversal skills in line with the activities required by the research programs;
• Potential contribution to achieving the research and innovation objectives of the Consortium.

6. Position and Collaboration Modalities

Selected experts may be contacted for contractual collaborations, depending on the specific needs of the projects and available resources. The terms and conditions of each collaboration will be defined based on the project and the candidate’s experience and level of responsibility held.

Usual remuneration practices will be applied according to the position and level of expertise required for each specific collaboration.

For further information, please contact us at info@crat.eu.

7. Data Protection

Personal data provided in the application process will be managed in accordance with EU data protection regulations (GDPR) and used exclusively for purposes related to this call.

8. Contact Information

For more details or inquiries, please contact the Research Consortium CRAT’s support team at info@crat.eu.