11 Postdoctoral Fellowship at KTH Royal Institute of Technology, Stockholm, Sweden

The goal of this project is to develop wall models for turbulent-flow simulations using deep-learning models. In particular, approaches based on deep reinforcement learning will be prioritized. The candidate will be co-supervised by Ricardo Vinuesa and Stefan Wallin at KTH Engineering Mechanics. The researcher will become part of the VinuesaLab research group (www.vinuesalab.com), where he/she will have the possibility to interact with several related projects dealing with large-scale turbulence simulations, deep learning and experiments. Furthermore, he/she will also have access to the multi-petaflops scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC, www.e-science.se). Finally, the researcher will become part ofthe excellent research environment FLOW (www.flow.kth.se).

We are looking for a postdoctoral fellow to develop methods and codes for safety analysis of Gen-IV systems and to apply new developments in safety studies of a system of interest. This project is contributing to the larger project MÅSTE on sustainable energy supply using Gen IV technologies. The collaborative research of MÅSTE project in Swedish universities is funded by the Swedish Energy Agency.

Cheaper access to space provides societal benefits in the form of increased equality globally. Effective heat exchange is crucial to many industrial sectors to reach global climate goals. Additively manufactured (AM) metallic components of relatively complex shapes ultimately may result in a cheaper component. Raw surfaces on additively manufactured components differ significantly in structure and characteristics compared to traditional knowledge about surface roughness and its influence on pressure losses and heat transfer is partly unexplored ground. The study is broad and ranges from manufacturing to component design when e.g. various manufacturing parameters such as build direction have a large impact on material structure and surface roughness and in turn have a large impact on hydraulic, strength and thermal design of components. A concentrated project part will be focusing on modeling the effect of surface roughness validated with experiments and linked to surface measurement and manufacturing parameters. On a higher level, manufacturing of AM heat exchangers in a European collaboration will be managed followed by final component testing and evaluation of hydraulic and thermal performance. Cooperation with industrial partners in national and international projects is expected, including e.g. gas turbines, rocket engines and heat exchanger entities. Candidates should have proven background and interest in thermodynamics, heat transfer, computational fluid dynamics and experimental methods.

We are looking for one postdoctoral researcher in the area of foundations of data science. The position is in a research team in KTH led by professor Aristides Gionis (https://www.kth.se/profile/argioni/). The research team focuses on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, fairness, accountability, and transparency in learning systems. Applicant must have a strong interest in the development of the underlying theory, applications, and methods to distill knowledge from large complex datasets. The advertised position is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program, and by an ambitious 5-year European Research Council (ERC) Advanced Grant titled REBOUND, which aims to study the phenomena of polarization and echo chambers in online media, and develop methods to mitigate these phenomena.  The postdoc position involve individual and collaborative research, participation in research projects, and interaction with faculty, postdocs, and students. Opportunities to enhance important skills, such as research leadership, teaching, and grant-proposal writing, will also be given.

The Chemical Sensing Group is a large initiative at KTH, with approximately 20 researchers. We develop fundamental electrochemical and optical concepts to be integrated into ‘chemical sensors’ aiming to solve current problems in healthcare, environment, wellness, food among others. The objective of the postdoctoral positions is to strengthen the research on electroanalytical concepts and fundaments at the Chemical Sensing group.

The AICell Lab (https://aicell.io) in the department of Applied Physics at KTH and Science for Life Laboratory is a new research group funded by the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI systems for data-driven cell and molecular biology. To expand the team, we are now opening a position for a postdoctoral researcher in cell biology and computational microscopy imaging. The aim is to develop wet lab protocols and analysis workflows for an AI-powered automated imaging system to actively detect, monitor and track the live human cells under drug and genetic perturbations.  The project is supported by the WASP DDLS collaboration, and in close collaboration with the Jaldén group at KTH and the Lundberg group under the Human Protein Atlas, which is a unique world-leading effort to map all the human proteins in cells, tissues, and organs in the human body.

You will be responsible for actively and effectively designing, implementing, and optimizing wet lab experiments for the self-driving microscope, including cell culture, sample preparation and microscopy imaging. Importantly, you will also actively work with other researchers in the group to develop and optimize protocols for the automated imaging system and AI models. Besides wet lab skills, you will get the opportunity to elaborate on your computational skills, e.g., by writing Python scripts to control the imaging farm, train AI models and develop automated data analysis workflows. In later stages of the project you will also design and conduct additional, custom validation experiments, which may involve different molecular biology techniques.

Polarimetry of X-ray emission from compact celestial objects is a burgeoning branch of high-energy astrophysics. The astroparticle physics group at the KTH Physics Department has worked on the development of polarimeters in the hard X-ray band during the last 20 years. The group currently participates in the balloon-borne XL-Calibur mission. This position focuses on (i) the analysis and interpretation of XL-Calibur data from the summer 2024 balloon flight, where the Crab pulsar and black-hole binary Cyg X-1 were observed;  (ii) preparations for a future balloon flight, probably from Antarctica; (iii) studies for possible future balloon and satellite missions.

As a postdoctoral fellow, you will collaborate in a project that focuses on studying the transport processes of polymer and colloid systems in wood fiber-based materials and wood at high concentrations. The goal is to increase our knowledge to facilitate and optimize industrial processes. To achieve this, the research will focus on macromolecular mechanisms that control the interaction between wood fiber and selected polymer systems. The work is mainly experimental and involves laboratory work using the infrastructure of the institution and will include the use of advanced characterization techniques using large-scale synchrotron and neutron facilities. Specifically, measurements will be performed at the MAX IV and PETRA III synchrotrons in Lund and Hamburg. tools for analyzing data from the use of the advanced characterization techniques. The knowledge gained from this project will be implemented in experiments aimed at industrial implementation and the work will be carried out in collaboration with other projects in the area.

We invite applications for post-doctoral research positions with the Networked Systems Security (NSS) group at EECS/SCS. We are looking for highly motivated individuals with a very strong background and interest in networked systems security and privacy. Successful candidates will contribute to one of our research areas. The work will be supervised by Prof. Panos Papadimitratos.

The NSS group designs and builds trustworthy networked systems. Our research agenda covers a gamut of security and privacy problems. We have had numerous projects, including European ones, with a large network of industrial and academic collaborators.  Our activities are summarized here: https://www.eecs.kth.se/nss.

Cellulose papers and pressboards are widely used as insulators in power transformers and high voltage electrical equipment due of their good electrical properties, availability, and price. Critically, these materials must maintain both their mechanical and electrical properties at elevated temperatures in an oil filled environment for 30-40 years. With aging electrical equipment and ever-increasing energy demands, understanding cellulose degradation is a critical aspect in the manufacturing and maintenance of our electrical infrastructure.

Despite cellulose being used as electrical insulation for more than 100 years, its degradation under transformer operating conditions is not yet completely understood. Oxidative, acid-catalyzed hydrolysis, and thermal degradation all occur simultaneously over the lifetime of the transformer, each of which produce residues and water that cause corrosion and decreased mechanical and dielectric performance. This project aims to develop a deeper understanding of chemical and supramolecular structural changes that occur during cellulose degradation in power transformers, and to investigate modifications and/or additives that can increase the lifespan of electrical equipment.

This postdoc position provides a unique opportunity and environment as the candidate will work at both KTH, the Swedish research institutes RISE, and importantly in direct collaboration with the world leading provider of power transformers Hitachi Energy with access to their state of the art labs and equipment.

The division of Biophysics is located at SciLifeLab, where the team develops some of the world’s most used tools for modelling biological systems with particular applications to membrane proteins and techniques for drug design.

We are looking for a postdoc to work on development of the computer software GROMACS, related to using molecular dynamics (MD) simulations to study biophysical phenomena. The position includes development of new methods for managing, and analysing, simulations, as well as to develop applications and improving the usability of the software. The tasks will include programming in C++, but also applied research and good opportunities for well-cited publications.