Early Career Research Fellow in Ethics in AI (Democracy, Human Rights and AI)

at  University of Oxford

Applications are invited for a full-time Early Career Research Fellow in Ethics in AI at the Faculty of Philosophy, in association with Reuben College, presenting an outstanding opportunity for career advancement in a relatively new field of research. The post is fixed-term for two years.
The University of Oxford has launched a major initiative in Ethics in AI, leading to the establishment of an Institute for Ethics in AI, to be based in the Stephen A. Schwarzman Centre for the Humanities, under the aegis of the Faculty of Philosophy. The Institute will build upon the University’s world-class capabilities in the humanities to lead the study of the ethical implications of artificial intelligence and other new computing technologies. The Early Career Research Fellow will work under the direction Professor John Tasioulas, Director of the Institute for Ethics of AI who has been awarded an AI2050 Senior Fellowship by Schmidt Futures. This comes with a grant allowing Professor Tasioulas to pursue a research project jointly with Professor Hélène Landemore at Yale University. This three-year project will take a humanistic approach to the ethics of Artificial Intelligence.
The successful candidates will be expected to provide evidence of exceptional potential for academic research and publication. They need not have already carried out research on ethics in AI, but must demonstrate evidence of the potential to undertake significant research which will contribute to the work of the Institute for Ethics in AI. As an Early Career Fellow at Reuben College, candidates will be expected to attend academic and social events during term, organise one event each year, and act as a college advisor for up to six graduate students.
Successful candidates will hold a doctoral degree in a field relevant to the study of the inter-relations of human rights and AI, or will at least have submitted a doctoral dissertation submitted for examination by the advertised closing date for this position, and will be expected to provide evidence of an outstanding academic research record, appropriate to their career stage. Also essential are excellent research skills, and the ability to work independently and without close supervision.
Applications for this post are must be made online and submitted no later than 12 noon on 21 October 2024.
Interviews will be held on 19 November 2024.

Please refer the Job description for details