Assistant Professor In Explainable Networked Systems

Introduction

Do you have a passion for computer systems and explainable AI, especially for resourcelimited embedded systems? Are you driven to make intelligent networked (embedded) systems more reliable and trustworthy - and do you have track record in networked (embedded) system research needed to turn that ambition into impact? Then you may be exactly the candidate we are looking for.

Job Description

You will join the (M&CS). With over 140 (assistant, associate and full) professors, almost 250 PhD and EngD students, nearly 3000 students, M&CS is the largest department of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and innovation in and beyond the region.

The Interconnected Resource-aware Intelligent Systems (IRIS) cluster within this department is looking for a full-time assistant professor, who will address the challenges relate...