Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Linköping University
- Chalmers tekniska högskola
- SciLifeLab
- Blekinge Institute of Technology
- Örebro University
- Karlstads universitet
- Jönköping University
- Kungliga Tekniska högskolan
- The University of Gothenburg
- Umeå University
- Uppsala universitet
- Chalmers Tekniska Högskola AB
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- KTH
- Lulea University of Technology
- Malmö universitet
- Stockholm University
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Borås
- University of Skövde
- chalmers tekniska högskola
- 17 more »
- « less
-
Field
-
, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
-
activities are summarized here: https://www.eecs.kth.se/nss . Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the
-
that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH. The Division of Network and Systems Engineering conducts fundamental research
-
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
-
-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
-
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
-
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
-
research areas especially along two themes: “Platform security and application”s and “Machine learning and security/privacy ”. Our goal is to provide the environment for the successful candidate to mature
-
-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
-
5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Programming Computer science » Other