Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
-
18 Sep 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Electrical engineering Engineering » Mechanical engineering Engineering » Other Technology
-
computer science or electrical engineering from a reputable university On top of systems and/or hardware security, we also consider applicants who have instead worked on computer systems or hardware design topics
-
19 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Informatics Computer science » Other Engineering » Electrical engineering Engineering
-
improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
-
to 3D transistor architectures and stacked, hybrid-bonded devices, it becomes important to study the initiation and propagation of defects due to thermal and electrical phenomena (e.g., dielectric
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab (https://www.epfl.ch
-
to 3D transistor architectures and stacked, hybrid-bonded devices, it becomes important to study the initiation and propagation of defects due to thermal and electrical phenomena (e.g., dielectric
-
to 3D transistor architectures and stacked, hybrid-bonded devices, non-destructive, high-resolution 3D imaging is becoming a necessity. Unfortunately, current 3D X-ray nanoimaging methods
-
of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars