Junior Fellows in Artificial Intelligence (# of pos: 2)

Candidates should have:

• A PhD with a strong component in Artificial Intelligence, Machine Learning or Statistical Learning (or a planned Ph.D. defense in 2022),

• Outstanding research in Artificial Intelligence, Machine Learning, Statistical Learning, Deep Learning, NLP, Computer Vision ,

• Publications in leading international journals (JMLR, PAMI, Statistics & Computing, IEEE Trans. On Multimedia, …) or conferences in AI and its major fields of advancement (Neurips, ICML, AISTATS, IJCAI, CVPR, ICCV, ACM Multimedia, IEEE IROS, …)ent.

• Demonstrated ability to teach courses in Computer Science, Machine Learning and Deep Learning, Mathematics, Statistics, and to supervise projects/students in Data Science & AI. The successful candidate will teach courses at the graduate and undergraduate levels, and for engineers from companies.

• A research project aligned with one of the research axes of the Institute. We encourage candidates to prepare their research project with one of the chair holders of the Institute (see https://3ia.univ-cotedazur.eu/research ) or the head of one of the laboratories of Université Côte d´Azur, INRIA, CNRS, INSERM, Eurecom or Skema Business School.

• A short teaching statement where the candidate exposes their vision of what teaching AI outside the fields of computer science and mathematics should encompass, and possible directions to design corresponding teaching materials.