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Project sheet

Name

Assistant Professor in Robotics, artificial intelligence, and machine learning

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.P2023.15623.TENURE.032

Summary

Job description :The Assistant Professor to be hired is expected to have a background in robotics and machine learning/ artificial intelligence (ML/AI). This position reflects the DEEC-FCTUC interest in candidates that can demonstrate that their research activity brings major research strengths and can also show that they can grow their tasks and activity in AI/ML applied to robotics, covering theoretical and applied topics. We are interested in candidates from a range of backgrounds including artificial intelligence, machine learning, and robotics (ground and/or aerial and/or maritime). It is essential that candidates complement DEEC-FCTUC’s existing research capabilities and have the vision to expand our research into the growing areas of AI/ML and robotic systems. Rationale :The DEEC-FCTUC has identified robotics and machine learning (also designated AI hereafter) as an important area for growth and therefore the rationale behind this position is that intelligent (ie, AI/ML based) robotics is a promising and challenging area which is part of the DEEC-FCTUC’s strategy to expand its capability and to strengthen DEEC-FCTUC’s growing reputation in this area.The recent progress in robotics and related technologies, coupled with advancements in ML/AI, have significantly expanded the capabilities in many sectors, ranging from social robotics, agricultural robots, assistive robotics, to advanced robot systems.The development and deployment of autonomous/intelligent robots (including but not limited to ground, aerial, space, maritime) present significant challenges, for example autonomy, reasoning, perception, flexibility, as well as societal challenges, including safety and transparency.The candidates are expected to demonstrate new and credible research plans on intelligent robotics, emphasizing topics that complement the DEEC-FCTUC existing research capabilities and have the vision to expand our research into the growing areas of ML/AI coupled with robotic systems. Scientific Profile :A PhD degree in Electrical and Computer Engineering, Computer Science, or PhD in any other closely related field.Excellent communication skills in English, ability to work in multidisciplinary teams, scientific creativity and a strong interpersonal skill.A strong background in Robotics and/or relevant AI fields.A proven track record of impactful research publications in reputable scientific journals and conferences.Experience of supervising research projects.Experience in teaching and mentoring students at the undergraduate and/or postgraduate level.The DEEC/UC also seeks to increase the number of women in areas where they are underrepresented and therefore explicitly encourages women to apply. Expectations :To conduct research that impacts the future of Robotics and AI.Foster novel collaborations and create new research and career opportunities.Publish high-quality scientific papers in Top-Teer Journals and Flagship conferences related to robotics and AI.Experience of work in or in collaboration with companies/industry.Teach undergraduate and postgraduate courses, delivering engaging and informative lectures, seminars, and practical sessions.Mentor and supervise postgraduate research students, fostering their intellectual growth and research capabilities.Undertake management and administrative tasks relevant to the role, ensuring efficient operation within the academic department.

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

8,8
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 .

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