Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical
-
the intake of new students when needed. Your network and team You will be mainly working with The Department of Design lecturers and professors Bachelor’s Programme in Design and Fashion students majoring in
-
such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
-
offer you a meaningful and inspiring environment. We are proud of our purpose to shape a sustainable future. We spark the game changers of tomorrow, and renew society with research-based knowledge
-
on biology-informed machine learning for dynamical systems (see project description below). The position is based at the Department of Computer Science at Aalto University, Finland, within a research
-
for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both
-
2026 - 00:00 (UTC) Country Finland Type of Contract Other 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 staff
-
- 00:00 (UTC) Country Finland Type of Contract Other 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 staff position
-
digital in-memory computing circuits for on-chip AI inference, spanning both full-custom design and RTL-based flows through synthesis and place-and-route to tape-out Verify and characterise your designs
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based