46 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs at AALTO UNIVERSITY
Sort by
Refine Your Search
-
Networks (https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks ). The Aalto Robot Learning Research Group (https://rl.aalto.fi ), part of the ENGAGE network, operates
-
to deploy machine learning to support data analytics and complex decision-making processes. Knowledge of modern SW-tools in the area of energy and sustainability is highly beneficial. Your role and goals You
-
members, including 70 professors. To learn more, please visit eng.aalto.fi. Department of Energy and Mechanical Engineering is a community of around 300 staff members – including 30 tenure track
-
researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state-of-the-art results in many applications. As a leading
-
mathematics or a related field. The successful candidate will have expertise in at least in one of: Machine learning in the context of physical systems AI-based condition monitoring Reinforcement learning
-
skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
-
. The initial salary is €4064, and the contract includes occupational health care. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively
-
year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi . ARotor Lab at the Department of Energy and Mechanical Engineering in collaboration with
-
. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state
-
Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof. Daniel Martin-Yerga, is seeking a highly