Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
-
Architecture – Marine Technology profile) master’s program and are part of the Nordic Master in Maritime Engineering. The research group consists of senior researchers, post-docs, and doctoral students. During
-
environment is international and English is the working language. If Swedish is not your native language and you are interested in learning it, Chalmers offers Swedish courses that are free for PhD students
-
We are looking for a doctoral student that will join a growing research group in operator algebras, which is preeminent in Sweden and among the strongest worldwide. Our young and dynamic team
-
Recognised Researcher (R2) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
-
temporary employment Duration: 5 years (including up to 20% departmental duties) What we offer The PhD position is fully funded from start As a PhD student at Chalmers, you are an employee and enjoy all
-
for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment
-
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
-
As a student assistant (amanuensis) in the Research Area Sustainable Built Environments, you will be part of a team of architecture-, engineering- and innovation researchers with passion
-
are looking for: To qualify as a PhD student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Machine Learning, AI, Data Science, Computer