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

KTH is developing a third-generation VLSI design style called Synchoros (not a typo) VlSI design style. SiLago (Silicon Lego), a Lego-inspired design framework, has been built with this design style as the basis; see this video for an introduction. A heterogenous CGRA fabric with a parallel distributed control scheme is the micro-architectural basis for the SiLago framework. This post-doc position will enhance an existing synthesis framework using modern compilation frameworks (e.g., MLIR) and enhancing its synthesis engine to target dataflow-centric architectures built with the heterogeneous CGRA fabric. Such a synthesis engine will be used to build a library of algorithm implementations for AI/ML in varying dimensions and degrees of parallelism and explore design space at application and system levels, where application is defined as a hierarchy of algorithms and system as concurrent and communicating applications.

The Division of Decision and Control Systems is seeking two postdocs to join our team under Prof. Giuseppe Belgioioso’s supervision. The successful candidate will conduct research at the intersection of optimization, game theory, and automatic control for complex systems. Their work will encompass both the mathematical foundations of these fields — e.g., designing innovative algorithms and control strategies — as well as the development of technical solutions to adapt these new methods to practical applications in the areas of energy and mobility. The research project will address one or more of the specific research areas in the following (non-exhaustive) list:

• Online feedback optimization
• Game-theoretic control (e.g., game-theoretic MPC)
• Hierarchical game theory for incentive design
• Defining, measuring, and operationalizing fairness in control methods
• Predictive control for large-scale systems
• Theory of control architectures

We are looking for a postdoctoral fellow to work on development of experimental methods for two-phase flows. We aim to develop a probe for measurement of void fraction and velocity at prototypic reactor conditions. The work includes development of methods for manufacturing miniature sensors and using these sensors in the HWAT facility. The HWAT facility was developed to study thermohydraulic phenomena relevant to small modular reactors (SMRs). The work is a part of a collaborative project in Europe and national project supported by Swedish nuclear regulator (SSM).

We are looking for a postdoctoral to study core melt spreading and interactions with structures during severe accidents of light water reactors (LWRs). The project is supported by APRI program. Experimental and computational studies on phenomena associated with core melt spreading and melt-structure interaction processes will be conducted toward development and validation of models which can be used for safety analyses and improvement of severe accident management of LWRs.

We are looking for a highly qualified researcher with PhD experience to work on practical development of robotic systems. The researcher will be part of a research group at the Robotics, Perception and Learning (RPL) division and the group led by Prof. Danica Kragic. The project involves the development of state-of-the-art machine learning techniques applied to robotic applications. The researcher will develop robotic software, collect data and design machine learning algorithms to acquire complex robotics skills through interaction and learning. Possible projects include soft object manipulation and two-arm manipulation.

The PDC Center for High Performance computing at KTH is a supercomputing center for academic research in Sweden that operates national supercomputing resources, including the currently fastest academic supercomputer in Sweden, Dardel, a 8.26 Pflop/s HPE Cray EX235a with over 400 GPUs. With leading researchers in their fields, PDC is active in several high-profile European research projects and currently coordinates two EuroHPC Centers of Excellence, BioExcel (with a focus on biomolecular simulations) and CEEC (with a focus on fluid dynamics simulations). PDC is also active in the development of scientific software, e.g. GROMACS, one of the most widely used HPC applications and one of the fastest molecular dynamics (MD) codes, Neko, a portable and highly scalable computational fluid dynamics (CFD) framework nominated for the ACM Gordon Bell prize in 2023, and Veloxchem, a versatile open source quantum chemistry software.

We are looking for an HPC expert to strengthen the HPC Software Research &  Development group at PDC. This position’s roles will aim at supporting various stages in the HPC research software life cycle, both traditional scientific simulation/modelling and new integrations with AI for science. Examples of the range of activities range from development and codesign of algorithms for the fast-evolving hardware technologies, to performance engineering and analysis, application profiling, benchmarking to finding performance bottlenecks and scalability issues, verification, and validation of scientific applications developed in our group.

Squeezed light generation using optical cavities has led to fundamental breakthroughs in several quantum metrology experiments ranging from gravitational wave detection to quantum key distribution. In this project you will investigate the generation, detection and manipulation of squeezed states of light using guided wave devices (commercial and developed in house) with applications tailored towards both quantum communication and sensing. You will work in the Nonlinear and Quantum Photonics group at KTH AlbaNova, leading experiments on quantum photonic devices and systems for information, sensing and communication technologies. The position is supported by Swedish Research Council, Göran Gustafsson foundation and the Wallenberg Center for Quantum Technology (WACQT), a 12 years’ initiative with the purpose of advancing Swedish academia and industry to the forefront of quantum technology.

We seek a driven and knowledgeable postdoctoral researcher for organic synthesis of new compounds for redox flow battery applications. The work will be carried out in the research group of Associate Professor Helena Lundberg at the Department of Chemistry, KTH, in collaboration with Professor Mårten Ahlquist’s group at the same department and the research group of Assistant Professor Amirreza Khataee at the Department of Chemical Engineering, KTH. Specifically, the work will focus on synthesis, isolation and characterization of redox active compounds, including electroanalytical evaluation. Administrative tasks and supervision of students may become part of the work. 

We are looking for postdoctoral fellows to work on development of methods for safety analysis of small modular reactors (SMRs). The work includes analysis of reliability of passive safety systems and analysis of severe accidents and their consequences in SMRs. The work will have significant impact on the adoption of SMR technology in Sweden. It is a part of large collaborative projects in Europe and national projects supported by Swedish nuclear regulator (SSM).

We are looking for a postdoctoral fellow to develop and improve models and codes for assessment of the liquid source term during severe accident (SA) of LWR systems. In particular, research will include assessment of the characteristics of the containment water pool by system code, thermodynamic and kinetic aspects of Cs and Sr chemistry including model development and its implementation to the system codes. This project is contributing to the larger EU project SOCRATES which addresses the critical gaps in understanding of the liquid source term during SA and offers innovative solutions to mitigate and monitor the release of radionuclides into the environment.

Organoids are powerful tools to model human biology in vitro, but high variability continues to present significant challenges. We are seeking an enthusiastic transdisciplinary researcher to help us tackle this by integrating advanced machine learning, robotic control, and electrochemical sensing. You will be embedded in and supported by two dynamic and welcoming research teams, those of Prof. Miliou at Stockholm University (Data Science) and of Prof. Winkler at KTH Royal Institute of Technology (Micro- and Nanosystems), and be part of the Digital Futures initiative.

In your varied role, you will design, conduct, analyze, and disseminate research across multiple domains, likely to entail: (a) adapting a liquid handling robot to our requirements and integrating it with sensing capabilities; (b) developing a computational framework that can leverage sensor-based predictive machine learning for robotic control; and (c) evaluating organoid maturation under a range of feeding regimens using qPCR and imaging. Besides collaboration with existing team members, you will also supervise junior researchers to help move the project forward – with the ultimate goal of greatly reducing inter- and intra-batch variability and thus greatly improving their information value for both basic biomedical research and drug development.

In the climate-neutral transformation of aviation according to “Flightpath 2050”, advancements in aerodynamic simulation models are urgent for the necessary design developments with sufficient confidence.

You will be part of the EU research project ROSAS developing wall models for turbulent-flow simulations using and further developing advanced deep-learning methods. In particular, approaches based on deep reinforcement learning.

You will also become part of the VinuesaLab research group (www.vinuesalab.com), having the possibility to interact with several related projects dealing with large-scale turbulence simulations, deep learning and experiments. Furthermore, you will have access to the multipetaflops 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 of the excellent research environment FLOW (www.flow.kth.se).

Modern ion batteries are based on ions, mainly Li-ions, being charged up in carbon and/or SiOx-based materials that form the negative electrode. Battery properties such as energy density and aging depend on a complex way on the material structure and specifically on the environment of the ions. NMR spectroscopy can directly observe ions charged in the electrode material and the spectrum and other NMR parameters such as relaxation times inform about the atomic and electronic environment. The work in this project is focused on experimental studies of suitably prepared (charging, aging) electrode material primarily using NMR spectroscopy.