Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
-
Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
-
. You should have a strong internal motivation for pursuing a PhD degree. The working language of the group is English, and we expect all our team members to have very strong written and oral English
-
superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
-
Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
-
scientific findings to the rest of the team. We help each other to succeed in making exciting new scientific discoveries. You would be expected to complete a PhD thesis within four years. Your network and team
-
. Our empirical research focuses on corporate headquarters and museums. One of our current case studies is the upcoming Museum of Architecture and Design in Helsinki, which aims to “redesign the world
-
Theoretical Quantum Materials We invite applications for a PhD position in theory of quantum materials at Aalto University, Department of Applied Physics. The position is part of the FUN-VAN Research Council
-
at the Department of Chemistry and Materials Science, Aalto University, is looking for three PhD students to join cutting-edge research projects in atomistic modeling, machine learning, and computational materials