Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Linköping University
- Uppsala universitet
- Lunds universitet
- KTH Royal Institute of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå tekniska universitet
- University of Borås
- Göteborgs Universitet
- KTH
- Kungliga Tekniska högskolan
- Linnaeus University
- Linneuniversitetet
- Luleå University of Technology
- Mid Sweden University
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Umeå University
- 12 more »
- « less
-
Field
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
-
are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
-
application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
-
, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
-
) Foundation. In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200
-
application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
-
. The department has education assignments in engineering programs and master's programs. More information is available on our website Department of Chemistry Ångström Laboratory Duties The PhD student
-
their PhD. Project description The aim of this project is to deepen the fundamental understanding of machine learning through the lens of optimal transport theory, systems theory, and statistical physics
-
Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory
-
continuously strive to create conditions that promote job satisfaction, professional development, and participation for all employees. The research group is now recruiting a full-time PhD student (100%), with a