Sort by
Refine Your Search
-
staff position within a Research Infrastructure? No Offer Description This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation
-
. The interdisciplinary research team (consisting of 4 PhDs, 3 Postdocs and their supervisors) will combine engineering, ecological and socio-economic experiments and models to quantify and predict future salt marsh
-
candidate; You hold a Master’s degree in a field relevant to the PhD topic, such as Civil Engineering, Environmental Sciences, Environmental Engineering, or any other interdisciplinary study connecting
-
are looking for an enthusiastic, professional, and ambitious colleague, with the following profile. You hold a Master’s degree in a field relevant to the PhD topic, such as Engineering, Environmental Science
-
PhD position in “Economic Life Cycle Costing and Life Cycle Sustainability Assessment of Hydropower”
the following profile. You hold a Master’s degree in a field relevant to the PhD topic, such as (Environmental or Ecological) Economics, Engineering, or Environmental Sciences; You have a strong background in
-
& Technology (MST) of the University of Twente, the Netherlands (www.membrane.nl ), we have a vacancy for a PhD student. There is growing awareness and concern about the presence of so-called micro-pollutants
-
Mechatronics, Robotics, Mechanical, Electrical, Biomedical Engineering or equivalent. You have profound knowledge and skills in Actuators & Sensors, System engineering, and Prototyping techniques. You have
-
of capabilities. Therefore, we need to develop an ethics of capability development in relation to technology. This approach should consider various impact dimensions of technology on human capabilities – both
-
environmental research domains, as well as prior knowledge developed by other PhD candidates in our group working on related questions. You will apply your framework by developing and testing a game-based
-
, calculus, optimization, and Markov decision processes; Knowledge of data engineering concepts such as machine learning pipelines, product deployment, and data ingestion; Interest in practical applications