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Project sheet

Name

Auxiliary Researcher in AI Smart Health and Wellbeing

Total project amount

246,79 thousand €

Amount paid

0 €

Non-refundable funding

246,79 thousand €

Loan funding

0 €

Start date

01.02.2025

Expected end date

31.03.2026

Dimension

Resilience

Component

Qualifications and Skills

Investment

Science Plus Training

Operation code

02/C06-i06/2024.P2023.15797.TENURE.004

Summary

The integration of Artificial Intelligence (AI) in healthcare is rapidly transforming the landscape of patient care, diagnosis, treatment, and management. Hiring an Auxiliary Researcher is not just an investment in individual talent but a strategic move toward revolutionizing healthcare through AI. The candidate will drive the development of AI solutions that are ethically responsible, technically sophisticated, and profoundly impactful on patient care and health outcomes. His/her expertise will catalyze the transition to a more intelligent, efficient, and patient-centered healthcare system, aligning with the mission of leveraging technology with the improvement of patient health and well-being. The candidate´s expertise in proposal writing and project management, coupled with their focus on AI, smart health, and well-being, will enable us to raise external funding opportunities and implement impactful initiatives in the scope of intelligent healthcare solutions.It is expected that the candidate will be capable of performing the following tasks:Lead the development and implementation of various AI solutions in the healthcare domain, with a strong focus on empowering patients through digital coaching and personalized health interventions, while adhering to ethical considerations and responsible AI practices.Architect, develop, and deploy diverse AI-driven scenarios for healthcare applications, aiming to augment human cognitive capabilities.Configure and deploy various assets for AI-driven healthcare systems. The incorporation of remote monitoring solutions facilitates real-time health assessment, contributing to improved prediction, anomaly detection, and patient engagement.Conduct in-depth research on emerging AI trends, ethical frameworks, and advanced techniques relevant to healthcare. Specialize in digital coaching methodologies gamification strategies, Recommender Systems, remote monitoring algorithms, and predictive analytics for proactive health management, acknowledging AI´s potential to save time, decrease risks, and enhance success rates in delivering solutions to patients and health professionals.Investigate and analyze the transformative impact of AI applications on patient empowerment, user experience, and health outcomes. Adhere to ethical standards while leveraging advanced AI techniques for efficient resource allocation, optimizing patient turnover, and decreasing medical costs.Collaborate with interdisciplinary teams to seamlessly integrate patient-centric approaches, co-creation strategies, ethical considerations, and state-of-the-art digital coaching, gamification, and remote monitoring strategies into existing healthcare systems and processes.Stay aware of industry trends, regulatory requirements, and best AI practices, including Explainable AI, Federated Learning, and Transfer Learning to drive innovation and accessibility in healthcare.Demonstrate expertise in leveraging natural language processing (NLP) techniques and large language models to enhance communication and understanding within AI-driven healthcare applications. Ability to develop and implement solutions with NLP for improved patient interaction, information extraction, and semantic analysis.Conceive and Develop knowledge-based systems integrated into decision support frameworks, providing informed insights to both patients and healthcare professionals for enhanced decision-making.Handle healthcare interoperability standards to enable seamless data exchange and integration with existing healthcare systems.The candidate’s scientific profile should include:- PhD degree in Informatics- Relevant scientific work in at least two of the following areas: Intelligent coaching Systems, Multi-agent systems, NLP, ML, Explainable AI, and data analysis of medical data- Extensive experience in preparing proposals and participating in scientific research and development projects with external funding, with emphasis on international projects- Participation and coordination of teams, WPs, and tasks in scientific projects with external funding, with emphasis on international projects- Experience in pilot design, implementation, and validation in the activities field to be developed- Have authored a minimum of 6 papers published in journals indexed in the JCR, in the last 5 years prior to the submission of the application, in the activities field to be developed- Scientific dissemination and knowledge transfer actions, including participation in events with oral presentation and demonstration of scientific activities results, and students’ supervision (MSc thesis and BSc projects), in the activities field to be developed- Experience in scientific supervision of scholarships and managing research teams- Experience in the organization of relevant international conferences and workshops-Lecturing seminars in national and international Ph.D. programs- Very good oral and written communication skills in English

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

8,7
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

246,79 thousand €

Total amount of the project

Where was the money spent

By county

1 county financed .

  • Porto 246,79 thousand € ,
Source EMRP
10.02.2026
All themes
Transparency without leading