Several PhD Positions - Co-Design for In-hardware Learning, Associative Memories and Kolmogorov-Arnold Networks We are seeking highly motivated PhD candidates to join our research team and work at the intersection of brain-inspired computing, novel circuits and architectures, and machine learning. T
PhD Position - Representation and Active Learning for Multi-Scale Scientific Imaging The Institute for Materials Data Science and Informatics (IAS-9) develops advanced Machine Learning & Artificial Intelligence methods tailored to challenges in the physical sciences and engineering, bridging dat
Your principal tasks Get familiar with the principles of data acquisition and usage from machine tool controls and built-in sensors to simulate, monitor and control processes. Use a mix of machine learning based and deterministic approaches to process data to predict or monitor process state conditi
Your principal tasks Get familiar with the principles of data acquisition and usage from machine tool controls and built-in sensors to simulate, monitor and control processes. Use a mix of machine learning based and deterministic approaches to process data to predict or monitor process state conditi
In cooperation with the Chair of Optical Systems Technology (TOS), the Fraunhofer Institute for Laser Technology ILT—Europe’s leading center for contract research and development in the field of laser technology—is offering the opportunity to write a thesis on the topic: »AI-based local quality pred
In Kooperation mit dem Lehrstuhl für Technologie Optischer Systeme TOS bietet das Fraunhofer-Institut für Lasertechnik ILT, Europas führendes Zentrum für Auftragsforschung und -entwicklung im Bereich Lasertechnik, die Möglichkeit einer Abschlussarbeit mit dem Thema: »KI-basierte lokale Qualitätsvorh
# PhD Position – Hybrid electronic/photonic integrated neuromorphic computing systems for large-scale machine learning There exists a substantial gap between the computational abilities of modern computers and those of the brain. The new Peter Grünberg Institute – Neuromorphic Compute Nodes (PGI-14)
Die Abteilung » Produktionsqualität « forscht an der gesamten industriellen Daten-Pipeline: Von der Datenaufnahme über die Datenübertragung und -speicherung, dem digitalen Zwilling, Datenanalysen, Machine Learning bis hin zu Expertensystemen, der Visualisierung über AR/ VR und Künstlicher Intelligen
Several PhD Positions - Co-Design for In-hardware Learning, Associative Memories and Kolmogorov-Arnold Networks We are seeking highly motivated PhD candidates to join our research team and work at the intersection of brain-inspired computing, novel circuits and architectures, and machine learning. T
Several PhD Positions - Co-Design for In-hardware Learning, Associative Memories and Kolmogorov-Arnold Networks We are seeking highly motivated PhD candidates to join our research team and work at the intersection of brain-inspired computing, novel circuits and architectures, and machine learning. T
PhD Position - Representation and Active Learning for Multi-Scale Scientific Imaging The Institute for Materials Data Science and Informatics (IAS-9) develops advanced Machine Learning & Artificial Intelligence methods tailored to challenges in the physical sciences and engineering, bridging dat
The Institute for Materials Data Science and Informatics (IAS-9) develops advanced Machine Learning & Artificial Intelligence methods tailored to challenges in the physical sciences and engineering, bridging data-driven approaches with domain knowledge to push the boundaries of scientific discov
The Institute for Materials Data Science and Informatics (IAS-9) develops advanced Machine Learning & Artificial Intelligence methods tailored to challenges in the physical sciences and engineering, bridging data-driven approaches with domain knowledge to push the boundaries of scientific discov
Vollzeit
Vor 1 Woche
Geschatztes Gehalt für Machine Learning in Aachen
49.000 € – 78.000 €/Jahr
Schatzungsvertrauen: Hoch
Schätzung basierend auf Marktdaten für Aachen. Tatsächliche Gehälter können je nach Erfahrung, Unternehmen und Gebiet variieren.