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

Nuclear Power Safety (NPS) Division seeks two engaged postdocs to study (i) in-vessel corium melt retention (IVMR) in small modular reactor (SMR) of PWR type, and (ii) ex-vessel melt-coolant interactions and melt spreading. The projects are supported by Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/) and APRI (https://www.apri.se/).  The IVMR research will be towards adaptation of the conventional IVR methodology developed for and used in the medium- and large-power PWRs and its further implementation in new SMR designs. The expected results are demonstration of potential efficiency of the IVMR strategy, which can significantly improve SMR safety performance by preservation of integrity of reactor pressure vessel, i.e. the existing safety barrier. For the research on ex-vessel melt-coolant interactions and melt spreading, the experiments will be performed in the DEFOR and CoSMUS facilities at KTH (https://www.physics.kth.se/nps/research/facilities) toward understanding of relevant phenomena important to ex-vessel corium risk assessment.

We at the division of resource recovery of the department of chemical engineering conduct research within a number of projects with the common objective to develop sustainable recycling processes for separation and recovery of valuable and critical metals from various waste streams. Developing novel, efficient and green recycling processes is of crucial importance in the transition to a circular economy. We are looking for two postdocs to work in two different projects focusing on developing knowledge to design novel hydrometallurgical processes based on controlled crystallization of metal salts. The work includes the design and experimental study of simple model systems as well as more applied studies. The first project is focused on production of NMC cathodes from secondary raw materials. The work at KTH will focus on crystallization of battery precursors and synthesis of cathode material. This is a collaboration project funded by Horizon Europe, which involves close collaboration with other universities and companies in Europe.

The project aims at developing robust, reliable and effective techniques for generation of extreme conditions in fluids. Having developed an experimental facility based on electrically induced wire explosion, high pressures, in the range of GPas, in fluids are to be produced with limited resources available in everyday research environment. A unique integration of approaches and resources in high voltage engineering and plasma physics applications will be applied towards classical problems of compressible fluid dynamics. The project investigates by experiment, computation and theory the major physical properties of imploding shock waves in liquids, offers approaches to enhance efficiency of the focal energy concentration, and studies the behavior of matter at such extreme states. The nature of this study is multi-disciplinary, while primarily, it will be carried out at the Fluid Mechanics division within KTH Department of Engineering Mechanics. The project is a part of the ERC-funded project DYNPRESS.

One postdoctoral position is offered within the KTH mathematics department. The projects will take place under the supervision of Prof. Fredrik Viklund and will involve the study of one or more of the following areas: 2D random conformal geometry (SLE theory, lattice models, gaussian fields, etc), conformal field theory, gauge theories, the Loewner energy, or other topics consistent with the research interests of the supervisor. There are no teaching duties (but if the applicant wants teaching experience, teaching can be arranged).

We seek an engaged postdoc to join our lab at KTH (http://www.biomolphysics.kth.se/, Widengren lab) to work within an ongoing high-profile EU research project (NanoVIB, https://www.nanovib.eu/). You will work with super-resolution MINFLUX imaging, recently installed in the lab, to expand this imaging technique into the near-IR and combine it with label-free stimulated Raman scattering (SRS) and two-photon excitation (TPE) imaging. As a lead application for this development, we will image surface proteins of pneumococci at molecular resolution, correlated to the morphology and chemical environment (SRS/TPE) of the bacteria, to understand their role in disease. This highly interdisciplinary project is performed in close collaboration with partners in Sweden (Karolinska), Germany (Abberior Instruments, Inst Nanophotonics, APE) and Switzerland (PI imaging), with good possibilities for research/exchange visits during the postdoc. Together with researchers and PhD students in the KTH research group (~10 persons), you will work on optimization of excitation and labeling schemes for MINFLUX, combine this with SRS and TPE imaging (with prototype instruments on place in the lab), and then demonstrate the combined use for bacterial imaging. We expect this work to lead to high-impact publications both on the methodological (bionanophotonics) and application (bacteriology) side.     

The research involves mathematical and algorithmic modeling and analysis, as well as system design, implementation, and experimentation. The research follows an approach where cyberattacks and response actions on an IT infrastructure are modeled as a game between an attacker and a defender and where strategies of attackers and defenders co-evolve through self-play. The game model is based on attack graphs and system architecture models. Reinforcement learning techniques are studied to approximate optimal control strategies. In addition to analytical modeling and analysis, a testbed and a simulation environment is available and further developed for experimentation, training, and evaluation of control strategies. Cyber ranges hosting realistic IT infrastructure environments are also available. The successful candidate will join a group of researchers that work on topics related to this project. 

With the development of computing and communication technologies, and emerging data-driven applications, e.g., IoT based intelligent systems, social network analysis and vehicular networks, the volume of data for various learning systems increases explosively along with the number of involving computing nodes. Thus, large-scale distributed machine learning (e.g., federated learning, and alternating direction method of multipliers (ADMM)) has been pervasive in our societies and industries. However, the practical performance of DML is often limited by various bottlenecks and is still far from theoretical upper limits. Thus, this project will develop efficient theories, algorithms and schemes to achieve reliable, secure and low-complexity large-scale DML. One key approach is to exploit network and channel coding schemes. Theoretical analysis will be performed using learning and communication tools (e.g., graph model, coding and information theory, optimization). The result will also be verified by simulations with true data. The project will be hosted by the Division of Information Science and Engineering, EECS school. The project is funded by Swedish Research Council (VR). You will have opportunities to work on cutting-edge information and data science and engineering.

The Division of Decision and Control Systems seeks two passionate postdocs with expertise in control systems, mathematics, machine learning, and modeling. Join us in a novel project focused on creating advanced mathematical and computational tools for robust and adaptable predictive maintenance algorithms with a particular emphasis on pump stations. The work is supervised by Professor Henrik Sandberg and assistant professor Matthieu Barreau. You will collaborate with industry leader Xylem and Stockholm Vatten och Avfall, gaining access to real-world data and pumps. This is an opportunity to develop theoretical tools addressing a concrete issue for a more sustainable future. The Division of Decision and Control Systems conducts fundamental research in learning for control and system identification among others. Industrial projects involve partners such as ABB, Ericsson, and Scania. A major part of the research is conducted in EU-projects in collaboration with European industry and universities. We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.

The Centre for ECO2 Vehicle Design is now looking for a researcher in methods for facilitating circular practices in the vehicle industry. The successful applicant will undertake research into the utilization of product and operational data in designing for end-of-life vehicles and the transition to circular practices within the vehicle industry. This will include building upon current lifecycle optimization methodologies to avail of industry data, design cases and know-how so that they can be used in real-world situations – for example, in planning preventative maintenance. As such, the job will involve close collaboration with vehicle industry partners within ECO2.