58 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" positions at AALTO UNIVERSITY
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
by contributing to research management and funding applications within the team. Your experience and ambitions PhD in one of the following broader experimental areas: quantum optics, AMO physics
-
automation, CAD design, programming, vacuum systems, machine learning and/or electronics is considered advantageous but not required Alignment with our core values What we offer Full-time, 4-year PhD funding
-
first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
-
at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
-
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
-
Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
with academics in engineering of energy technology and in designing sustainable energy systems. The research group is partner in two projects of the Just Energy programme of the Strategic Research
-
at the Department of Applied Physics at Aalto University. The position is fully funded by the ERC project SWARM. Our research focuses on developing new cutting-edge techniques to probe the forces and flow in small
-
. At the same time, 20-50% of industrial energy is ultimately lost as waste heat. With the rising demand for computing power, data centers are producing increasing amounts of low-grade waste heat. Likewise, as
-
: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A