-
manufacturing, thermomechanical simulations, and process modeling (prior experi- ence in finite element analysis, computational thermodynamics, or residual stress modeling will be advantageous) Solid
-
. Advanced modeling techniques, such as surrogate modeling, machine learning, and physics-informed neural networks, will be applied to accelerate simulations and enable real-time performance. A strong emphasis
-
-processed functional materials Use of AI/ML and numerical simulation to optimize the microstructure-properties in the functional materials fabricated by the LPBF process Optimization of microstructure and
-
2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Materials engineering
-
-physical system Sensor fusion, perception and big data Cybersecurity, automotive networking Simulations, verifications and validations of autonomous vehicles Human-machine interfaces and interactions Self
-
engineering Engineering » Other Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Country Estonia Application Deadline 26 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full