PhDs in the Industry
Collaborate with industry experts in the development of Responsible AI solutions, gaining practical experience that connects academic research to real-world applications.

All PhDs

Logo Unbabel 23 (2)
01/03/2024

Towards a Detailed and Unbiased Automatic Evaluation of Multilingual Large Language Models

Unbabel, Lisbon

Closed
Logo Unbabel 23 (2)
21/02/2024

Linguistics for AI Persona Development and Evaluation

Unbabel, Lisbon

Closed
Logo Unbabel 23 (2)
13/02/2024

Development of AAC Technologies for ALS Patients

Unbabel, Lisbon

Closed
André Carreiro

At the Center for Responsible AI, diverse teams from cutting-edge research, startups, and industry leaders come together to push the boundaries of Responsible AI development. Join us to enhance your skills while working on actual products solving real-world problems with ethical impact. You can help shape the future!

André Carreiro

Senior Scientist at Fraunhofer Portugal AICOS

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Bernardete Ribeiro

Joining the Center for Responsible AI's partners offers a unique opportunity to champion Explainability in AI, driving ethical innovation and fostering trust. Collaborating with leading experts in the field can elevate your career, providing invaluable insights and networking opportunities for professional growth.

Bernardete Ribeiro

Full professor at CISUC

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Bruno Martins

The partners of the center are actively advancing AI, particularly in areas such as language technologies where world-class research is being conducted. The center is driving exciting developments in language-based interaction and information access and, for individuals, working with the partners can offer numerous opportunities for personal and professional growth.

Bruno Martins

Associate Professor at Instituto Superior Técnico

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Catarina Silva

Joining the Center for Responsible AI provides access to a vast network of research centers and companies, enhancing collaboration and innovation. The center also allows contributions to making AI systems more transparent and accountable. By focusing on explainability, we can help create AI that is understandable, trustworthy, and fair.

Catarina Silva

Assistant Professor at CISUC

Mário Figueiredo

Explainable AI (XAI) is essential for building safe, trustworthy AI systems, and fostering confidence and acceptance in various domains. Understanding AI decisions enables identifying biases, mitigating risks, and ensuring fairness and accountability. At CRAI, several groups work on advancing XAI research, recognizing its crucial role in creating transparent and reliable AI models that can be safely deployed into the real world, benefiting society. Join us in this important endeavor.

Mário Figueiredo

Instituto Superior Técnico Distinguished Professor

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Paolo Romano

Joining the Center for Responsible AI offers a unique chance to research cutting-edge AI technologies at the intersection of academia and industry. This is crucial to ensure that your research stays focused on relevant problems, such as shaping the new generations of AI systems (from autonomous vehicles, to LLMs and robotic systems) with efficiency and sustainability a first class goal.

Paolo Romano

Associate Professor at Instituto Superior Técnico

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