81 model-driven-engineering PhD positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
-
Section, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). We look for a talented, self-driven, and collaborative individual with a passion for tackling complex
-
. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled
-
22 Aug 2025 Job Information Organisation/Company Technical University of Denmark Department Department of Civil and Mechanical Engineering Research Field Engineering Researcher Profile First Stage
-
by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection
-
, and your theory will provide important guidelines for the experiments performed in our lab. The primary tasks will be to: develop quantum-mechanical models of individual emitters driven with short laser
-
Job Description A 3-year PhD position within ligand-observed NMR analysis of carbohydrate-active enzymes is available in the Enzymatic Synthesis Technology group at the Department of Biotechnology
-
-polymers using AI-driven process intensification, safe-and-sustainable-by-design principles, and smart polymer formulation. The project brings together leading academic and industrial partners to create a
-
with your CAPeX colleagues, you will develop, engineer, and test new experimental approaches which push the state-of-the-art fast and sensitive product detection in electrochemical and electrocatalytic
-
that: You have an open mind and can think creatively in a computational and/or programming context. You are interested in combining your physics-based modelling skills with data-driven analysis