41 postdoctoral-position-in-material-science PhD positions at Chalmers University of Technology
Sort by
Refine Your Search
-
commitment to rigorous, open, and impactful science. The project is part of the WISE and WASP initiatives, which aim to position Sweden at the forefront of materials science and AI research. The PhD student
-
This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
-
Proficiency in molecular biology techniques Skills in data analysis, statistics, or programming Background in wastewater engineering Contract terms The position is full-time for 4 years, with the possibility
-
We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
-
machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
-
with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
-
, Chemical Engineering, Electric Power Engineering, or Material Science Be highly motivated and able to work independently and in interdisciplinary settings Have experience or interest in battery technology
-
This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
-
Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
-
. Qualifications To be eligible for a PhD position, you must: Hold, by the starting date, a Master's-level degree corresponding to at least 240 higher education credits in Computer Science and Engineering or a