Postdoc in Microphysiological Systems for Tumor Biology

Job description We are looking for a Postdoctoral fellow with the task of validating and developing  new systems to emulate cancer microenvironments. The fellow will work on multidisciplinary projects collaborating with research groups across KTH, Karolinska Institutet, SciLifeLab, and Karolinska Hospital. The host environment will be the Division of Nanobiotechnology, SciLifeLab, KTH with the group of … Read more

Doctoral student in AI-driven phylogenetic analysis of cancer evolution

Project description Third-cycle subject: Computer Science The project focuses on developing probabilistic and AI-enhanced Bayesian methods for analyzing tumor DNA as well as circulating tumor DNA (ctDNA). The aim is to determine whether ctDNA signals can be explained by the primary tumor or whether they indicate metastasis. The project combines phylogenetic models with single-cell data … Read more

Doctoral student in AI and ML for analysis of single‑cell cancer data

Project description Third-cycle subject: Computer Science The project develops probabilistic and AI‑enhanced Bayesian methods to analyze tumor DNA and circulating tumor DNA (ctDNA), with the aim of detecting metastases. It combines phylogenetic modeling, single‑cell data, and longitudinal blood samples, and includes development of new deep learning–based inference methods. The project is a close collaboration between … Read more

Doctoral student in Power Electronics, focusing on modular GaN power converters

Project description Third-cycle subject: Electrical Engineering The introduction of new semiconductor materials, such as Gallium Nitride (GaN), opens new possibilities in power electronics allowing for reduced losses and increased switching frequency. GaN power semiconductors are already successfully used in low-power applications. In your research you will focus on combining these into modular converter structures, which … Read more

Doctoral student in Image representations for class discovery

Project description Third-cycle subject: Computer Science The Division of Robotics, Perception and Learning has an open position for a doctoral student with a background and strong interest in computer vision and deep generative learning. The successful candidate will join a WASP funded project to learn better image representations, based on generative approaches, for out-of-distribution discovery and novel species … Read more

Doctoral student in digital twins for understanding moisture dynamics

Project description Third-cycle subject: Third-cycle subject: Applied and Computational Mathematics The Department of Mathematics at KTH invites applications for a full-time doctoral student to join the Numerical Analysis group. This Digital Futures project is together with Hitachi. The purpose of this project is to develop advanced computational models and methods to describe moisture transport and non-uniform water distribution in the insulation … Read more

Doctoral student in Rocket propulsion and reactive flows

Project description Third-cycle subject: Energiteknik Do you want to contribute to Sweden’s future capability in reusable space propulsion? This PhD project will develop methods for predictive maintenance and health-aware operation of rocket nozzle cooling channels for methane/oxygen (“methalox”) engines, an area that becomes increasingly important as launchers move toward high reusability. Methane is an attractive … Read more

Doctoral student in Machine Learning

Project description Third-cycle subject: Computer Science PhD student 1 will be a part of an EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors”. The goal of the project is to digitalize the sense of smell, pave the ground for understanding how the sense of smell works in humans and … Read more

Postdoc in Mathematics with specialization in Numerical Analysis

Job description The department of Mathematics at KTH is offering a two-year postdoc position. The research project will focus on the continued development and extension of a numerical method based on an integral equation formulation for the simulation of viscous drops in microfluidic flows. Surfactants that are soluble in the bulk fluid(s) play a key … Read more

Postdoc in Large Language Model inferencing

Job description The advertised post-doctoral position is 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. More project information and our project page with early publications. The work will primarily … Read more