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Project sheet

Name

Assistant Professor in Computer Science (Artificial Intelligence)

Total project amount

123,39 thousand €

Amount paid

0 €

Non-refundable funding

123,39 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.P2023.11245.TENURE.053

Summary

Job description: •    Conduct Original Research: Lead and contribute to the development of novel algorithms, models, and techniques in the field of AI, with a focus on areas such as knowledge representation and reasoning, machine learning, deep learning, and reinforcement learning. •    Collaborate with Interdisciplinary Teams: Engage in collaborative projects with researchers from diverse disciplines, fostering an interdisciplinary approach to AI research. This may involve collaboration with experts in engineering, Law, neuroscience, and other relevant fields. •    Publish in Leading Journals and Conferences: Disseminate research findings through high-impact publications in prestigious scientific journals and conferences. Actively contribute to the academic community by presenting research at conferences and workshops. •    Grant Proposal Development: Contribute to the preparation and submission of research grant proposals to secure external funding for AI research projects. Actively seek opportunities for research funding from government agencies, industry partners, and other sources. •    Supervise Graduate Students: Mentor and supervise graduate students involved in AI research projects. Provide guidance and support for their academic and research activities. •    Stay Abreast of Emerging Trends: Keep abreast of the latest developments and trends in AI research and related fields. Contribute to the intellectual environment of the ALGORITMI Centre/LASI and Informatics Department through participation in seminars, workshops, and conferences.Scientific Profile:The ideal candidate will possess:• Ph.D. in Computer Science, Artificial Intelligence, or a related field. • Proven Research Track Record: Demonstrated excellence in AI research, as evidenced by a good publication record in reputable journals and conferences. • Expertise in AI Subdomains: Expertise in one or more subdomains of AI, such as knowledge representation and reasoning, generative AI, machine learning, deep learning, reinforcement learning, applied AI. • Collaborative Mindset: Ability to work effectively in interdisciplinary research teams and contribute to collaborative projects. • Strong Communication Skills: Excellent written and verbal communication skills, with the ability to articulate complex concepts to both technical and non-technical audiences.Rational:The recruitment of an Assistant Professor in Artificial Intelligence is essential for several reasons:• Research Excellence: AI is a rapidly evolving field with significant societal implications. The University of Minho and the ALGORITMI Centre/LASI aim to maintain a position of excellence in AI research by continuously contributing to the scientific community´s knowledge base. • Interdisciplinary Collaboration: The interdisciplinary nature of AI research requires collaboration across various domains. The addition of a skilled researcher will enhance our capacity to engage in collaborative projects, fostering a holistic approach to addressing complex challenges. • Academic Leadership: The successful candidate will contribute to the academic leadership of the ALGORITMI Centre and Informatics Department by securing external funding through grant proposals. This will enable the pursuit of ambitious research projects and the attraction of top-tier talent. • Graduate Education: The supervision of graduate students is integral to our commitment to education and the development of the next generation of AI researchers. The Research Scientist will play a crucial role in mentoring and guiding students in their research endeavours. • Knowledge Dissemination: Active participation in conferences, workshops, and the publication of research findings in reputable journals will enhance the visibility of the University of Minho and the ALGORITMI Centre, solidifying our reputation as top AI researcher Centre.

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

9,3
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

123,39 thousand €

Total amount of the project

Where was the money spent

By county

1 county financed .

  • Braga 123,39 thousand € ,
Source EMRP
10.02.2026
All themes
Transparency without leading