Join our team
As a dynamic laboratory that bridges the gap between academia and local industry, JRL-A2I is a melting pot of diverse expertise and age, united by a shared passion for advancing AI technology and its applications.
Diversity and inclusion are at the core of our laboratory's ethos. We embrace and celebrate a variety of perspectives, recognizing that it is through the convergence of different minds and backgrounds that innovation truly thrives.
Whether you are a seasoned researcher, an aspiring graduate student, or a passionate AI enthusiast, we eagerly anticipate your contributions to shaping the future of AI within our JRL. We invite you to explore the possibilities, be inspired, and take action.
Predoctoral Offer in Deep Data-Driven Computing
(email your CV to: firstname.lastname@example.org), hiring until Nov. 30th, 2023
Within the groups MATHMODE at UPV/EHU and MATHDES at BCAM (Bilbao, Spain), we are developing novel techniques for solving Partial Differential Equations using Neural Networks that incorporate expert knowledge in Numerical Analysis. The so-called physics-aware neural networks. We offer Ph.D. positions to develop new algorithms, implement them, and apply them to real-life engineering applications.
Some of the selected candidates will form part of the European Doctoral Network IN-DEEP, which focuses on real-time inversion using self-explainable Deep Learning driven by expert knowledge.
Postdoctoral Offer in Physics-Informed Neural Networks
(email your CV to: email@example.com), hiring until Nov 30th, 2023
We are looking for two postdoctoral fellows to join the group MATHDES at BCAM (Bilbao, Spain). They will work under the supervision of David Pardo on novel techniques for solving Partial Differential Equations using Neural Networks that incorporate expert knowledge from Numerical Analysis (the so-called physics-informed neural networks).