Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
knowledge of process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support
-
Agent-based simulation and middleware platforms for multi-agent systems AI-driven forecasting and flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures
-
flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
-
at bachelor and master level, supervising project and thesis work in alignment with AAU’s problem based learning model, and, when relevant, co supervising PhD students. Under the guidance of more experienced
-
of our study programs as well as continuing education (industry, DTU’s MBA, …) Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students Actively participate in creating a
-
have: A relevant PhD degree (e.g., NLP, AI, ML, Security, Cryptography, or a related field) A relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence
-
systems with digital technologies from a socio-technical perspective. This includes human–machine interaction, XR-based interfaces, and engineering solutions for hybrid production systems. Candidates should
-
for AI systems Verification, validation, and benchmarking of hardware accelerators What we expect A PhD (or equivalent) in Electrical Engineering, Computer Engineering, or a closely related field A
-
applications Statistical, machine learning, or other quantitative methods Multi-criteria decision analysis and decision support methods Application-oriented research supporting sustainability transitions
-
, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction