Sort by
Refine Your Search
-
The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 3-year position as postdoc in atmospheric modelling to carry out research on large
-
. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
-
-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
-
opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job
-
reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
-
graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
-
spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts
-
professionalism, equality and a healthy work-life balance. Place of work and area of employment Depending on the candidate, the physical work place can be located either on the main campus of Aarhus University
-
informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a
-
Are you interested in architected materials, their mechanics and physics and you want to contribute to the development of the area that would combine fracture mechanics with statistical and