Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, including architecture, computational design, computer science, or related fields, who have a proven track record of applying advanced computational methods to real-world environmental challenges. A doctoral
-
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
-
ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in
-
3 Sep 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Management sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland
-
Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
-
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
-
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 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
-
also highly valued. Requirements Successful candidates have a master’s degree in Physics, Chemistry, Computer Science or related disciplines. Knowledge of machine learning (image, graph network