Doktorarbeit: Sichere Ki Für Maritime Antriebe / Safe Artificial Intelligence For Maritime Engines
Everllence
Augsburg, DE
On-site
Machine learning knowledge
Python, matlab, or c/c++
Maritime engine optimization
The PhD thesis focuses on developing safe AI methods for maritime propulsion systems powered by alternative fuels like methanol
Job Summary
The PhD thesis focuses on developing safe AI methods for maritime propulsion systems powered by alternative fuels like methanol.
Key research aspects include optimizing engine operation, efficient use of alternative fuels, simulation of operating scenarios, and ensuring safe operation.
Everllence aims to contribute to the decarbonization of shipping by increasing operational flexibility and reducing emissions.
Matching Summary
The PhD thesis focuses on developing safe AI methods for maritime propulsion systems powered by alternative fuels like methanol.
Skills & Requirements
Must-have
Machine Learning knowledge
Python, MATLAB, or C/C++
Maritime engine optimization
Alternative fuel utilization
AI simulation and evaluation
Safe operation within limits
Nice-to-have
Control engineering experience
Internal combustion engine knowledge
International and interdisciplinary team
Key Requirements
Master's degree in Computer Science, Engineering, or related