Vanessa Nurock

This fully funded PhD position, titled 'Ethics by Design of Virtual Twins (DC15)', is offered as part of the ENDOTRAIN MSCA Doctoral Network at Université Côte d’Azur, Nice, France. The project is embedded within Work Package 4 of the ENDOTRAIN network, focusing on the legal and ethical aspects of AI tools. The research aims to analyze ethical issues related to algorithmic health, with a particular emphasis on digital twins in biomedical environments, and to develop an 'ethics by design' approach for these technologies. Supervised by Professor Vanessa Nurock, the successful candidate will join a vibrant international consortium and benefit from secondments with other teams in the network, fostering interdisciplinary and collaborative research. The doctoral programme requires full-time commitment, with the student enrolled at Université Côte d’Azur and expected to complete both independent research leading to a scientific dissertation and a structured training component. Applicants must hold a master's degree in philosophy, specifically in moral and political philosophy. Proficiency in English is mandatory, while a good level of French and expertise in bioethics or ethics of AI are considered assets. The position is ideal for candidates interested in interdisciplinary research, international collaboration, and pursuing an academic career. Eligibility criteria include not having resided or carried out main activities in France for more than 12 months in the 36 months prior to recruitment. All documents not in English or French must be accompanied by certified translations. The position is fully funded, with salary and benefits provided according to Université Côte d’Azur regulations. The application window is open through spring 2026, with a start date in September 2026. For further details and to apply, candidates should visit the ENDOTRAIN Doctoral Training Network and project pages. This opportunity offers a unique chance to contribute to cutting-edge research at the intersection of philosophy, ethics, and artificial intelligence, within a supportive and dynamic academic environment.