219 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Uppsala universitet
- SciLifeLab
- Umeå University
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Linköpings universitet
- University of Lund
- Blekinge Institute of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- Örebro University
- KTH
- Nature Careers
- Stockholms universitet
- University of Borås
- chalmers tekniska högskola
- Jönköping University
- Karlstads universitet
- Kungliga Tekniska högskolan
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- The University of Gothenburg
- Chalmers Tekniska Högskola
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linkopings universitet
- Linköping university
- Linköpings University
- Luleå tekniska universitet
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Sveriges Lantrbruksuniversitet
- University of Skövde
- 33 more »
- « less
-
Field
-
We invite applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims
-
structure and carry out work. Preferred qualifications Prior experiences of teaching and/or supervision of students' project work, knowledge in machine learning and deep learning, language technology
-
measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some
-
reconstruction. We will use physics modeling, machine learning and experiments to develop new and improved methods for using data from energy-sensitive x-ray detectors to improve the diagnostic quality of x-ray
-
collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
-
-Physical Systems, you will teach at undergraduate and postgraduate level, including courses in computer architecture, embedded software, real-time systems, and AI-based perception for cyber-physical
-
. The following education, experience and expertise are required: solid knowledge in machine learning, optimization, or algorithm development programming experience, preferably in Python In addition, the following
-
consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
-
are considered as other qualifications: Practical experience from statistical signal processing or machine learning. Experience with mathematical modelling and analysis of wireless communication systems. This also
-
5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Programming Computer science » Other