The successful candidate will work at the forefront of new mathematical challenges working on the development of new tools with a solid mathematical foundation suitable for data-aware/physics-inspired modelling, combining machine learning and control theoretical ideas, motivated by significant applications in health care, autonomous driving and internet recommendation systems.
We are looking for a postdoctoral researcher specialized in high level experience in Control mathematics and Machine Learning and proven experience in Partial Differential Equations and Numerical Analysis as well as computational skills to develop computational codes.
The candidate is expected to be able to structure and address the research challenges of the ERC CoDeFeL project and collaborate and work effectively with internal and external teams within the project framework. Depending on experience, the candidate should be able to work both independently and collaboratively in an international and interdisciplinary environment, and, where applicable, supervise research assistants in the activities that he/she leads. Furthermore, the candidate will be involved in mentoring undergraduate and graduate students, publishing research findings in scientific journals, presenting them at national and international conferences, and supporting the research team with the technical reporting and results dissemination from the CODEFEL project.