Project description Third-cycle subject: Mathematics A PhD position at the intersection of algebraic geometry and neural network theory under the supervision of Kathlén Kohn is announced. The position is a full-time, 5-year position starting at an agreed upon date in summer or fall 2026. The successful candidate will be part of Kathlén Kohn’s vibrant research group on Algebraic … Read more
Project description Third-cycle subject: Computer science The advertised doctoral student position are within an ambitious, 5-year Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI”. In this 18 Million SEK project, we want to dramatically reduce the cost and power for serving large language models such as ChatGPT. The project page, with our early … Read more
Job description The postdoctoral researcher will be part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors.” The project aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The … Read more
Project description Third-cycle subject: Computer Science The doctoral work will be done as part of research project ”AI for Code”. Here is a one-paragraph summary suitable for a job advertisement: This PhD project develops a mechanistic interpretability framework to assess and improve the correctness of code generated by large language models (LLMs). Rather than relying … Read more
Project description Third-cycle subject: Computer Science The doctoral student will join the LangSec research group at KTH and work on the WASP project XSBOM, which focuses on developing innovative solutions for securing the software supply chain. The project aims to protect applications from risks introduced by third-party components while maintaining the flexibility of modern software … Read more
Project description Third-cycle subject: Computer scene with specialization in robotics, perception and learning This project addresses generalizable 3D dynamic scene understanding for autonomous systems, with a focus on scene flow estimation. A key challenge is that current methods fail to generalize across different sensor configurations and environments, and treat motion estimation as an isolated geometric … Read more
Project description Third-cycle subject: Engineering Mechanics The Department of Engineering Mechanics pursues basic and applied research in biomechanics, composite mechanics, fluid mechanics, contact mechanics, fracture mechanics and fatigue, material mechanics, and paper mechanics. FLOW is a strong community of researchers engaged in fundamental and applied research in fluid mechanics within the department. We are currently seeking a PhD … Read more
Project description Third-cycle subject: Geodesy and Geoinformatics The Group of Navigation and Perception at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning. Our research focuses on advancing next-generation spatial intelligence technologies for complex built … Read more
Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a good understanding of proteomics data will be … Read more
Subject area Materials Science specialising in Integrated Computational Materials Engineering (ICME). Subject description The subject area comprises Materials Science with a focus on Integrated Computational Materials Engineering (ICME) as a strategic framework for internationally leading research and education. A central and necessary part of the subject area is deep expertise in the CALPHAD technique (Calculation … Read more