Postdoctoral Position on Solving Parametric PDEs using Physics-Informed Neural Networks

Topics: Design algorithms for efficiently solving PINNs, implement them and use them to solve parametric problems. Possibly apply them to industrial applications.

PI in charge: David Pardo

Requirements: Ph.D. Degree in Engineering, Mathematics, Physics, or related fields.

Skills and track-record: Good interpersonal skills. Fluency in spoken and written English. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.

Scientific Profile: Strong background in numerical analysis, some knowledge of neural networks, and some experience in programming. Also, a proven publication record.

Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ - 35.360€ according to experience. It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent).