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

The postdoctoral project is part of the TauEB team effort to develop modelling of the Novatron concept for stable plasma confinement. The Novatron is a new improved type of mirror device. A particular goal of the postdoctoral project is to develop numerical plasma simulation tools for studying the effect of applied RF fields on confinement. 

Up to 4 postdoctoral positions are offered within the Random Matrices and Random Geometry research group in the KTH mathematics department. The projects will take place under the supervision of Prof. Kurt Johansson and Prof. Fredrik Viklund and will involve the study of one or more of the following areas: Coulomb gases, random matrix theory, dimer and random tiling models and related 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 supervisors. There are no teaching duties (but if the applicant wants teaching experience, teaching can be arranged).

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. 

Wireless communication technology has evolved over five generations, but the demand for higher efficiency, availability, and reliability is never-ending. The physical layer of 5G and 6G networks revolves around the multi-antenna MIMO technology. 5G uses 64 antennas in each base station and 4 antennas in devices, which might grow by 5-10 times in 6G. These antennas can be used for beamforming, spatial multiplexing, and integrated communication and sensing (ISAC).

In this postdoc project, you will contribute to cutting-edge research on 6G MIMO technology and develop new communication theory, concepts, and algorithms. The focus might be on Gigantic MIMO, cell-free networks, near-field communications, or ISAC for mid-band or higher frequencies. We believe a successful postdoc period builds on your current skills but expands them by targeting new research challenges and using new methods.

The research will be focused on the physical and media access control layers. Methods from MIMO communication theory, array signal processing, optimization, and machine learning will likely play a vital role. The research will mainly be theoretical, but KTH has testbeds for potential experiments. However, we are not looking for microwave engineers because no antennas or hardware will be built.

In this project, you will join the world-leading research group of Prof. Emil Björnson (IEEE Fellow, Clarivate Highly Cited Researcher) and work at the Division of Communication Systems at the EECS school. The research is funded by external projects, so there will be good opportunities to interact with the telecom industry.

Edge computing is expected to play a pivotal role in the deployment of XR services, providing low latency access to computing resources for the purpose of real-time sensor fusion. In mission critical applications, such as emergency response, it is essential to ensure resilience of the services to potential failures and attacks. The research will focus on the design of a robust mobile network architecture and edge architecture as well as a robust service architecture, including resilient state management and sensor fusion, that ensure graceful service degradation despite potential network partitioning and adversarial inputs.  

The position is within the Vinnova funded Network-Enabled eXchange of critical information in Systems-of-Systems (NEXSoS) project and will involve tight cooperation with industrial partners (Ericsson, Combitech, RISE) besides excellent opportunities for problem driven fundamental research in cooperation with the TECoSA competence center at KTH. 

Machine learning-enabled sensor fusion is gaining tremendous interest in various application domains, and is of particular interest in challenging, dynamic environments. The research will focus on advancing the state-of-the-art in real-time sensor fusion for XR, including perception, data transmission, processing and rendering for real-time situational awareness. We will investigate architectures in the device-edge-cloud continuum, design a low-latency processing pipeline for privacy preserving sensor fusion, with a focus on tasks such as cooperative SLAM based on camera, LIDAR, audio, etc. 

The position is within the Vinnova funded Network-Enabled eXchange of critical information in Systems-of-Systems (NEXSoS) project and will involve tight cooperation with industrial partners (Ericsson, Combitech, RISE) besides excellent opportunities for problem driven fundamental research in cooperation with the TECoSA competence center (https://www.tecosa.center.kth.se/) at KTH.

Are you interested in how leading industries are implementing the AI Act at the forefront of technical development? To achieve AI innovations that comply with regulations, we need to bridge the gap between law and technology by developing guidelines and tools that align with the necessary quality and risk management processes. In this cross-disciplinary and cross-sector project, you have a unique opportunity to participate and actively contribute to this process at Scania. We are offering an industrial post-doctoral position located at KTH and co-funded by Scania and the Digital Futures Center. The goal is to lead pioneering research on developing technical guidelines for compliance with the AI Act, focusing on transparency, privacy, technical robustness, and addressing unfair bias. Within these domains of trustworthy AI, your work will involve conducting comprehensive analyses of upcoming AI Act implementation guidelines and relevant AI standards. You will research and develop advanced technical guidelines for AI compliance, contribute to their integration into Scania’s existing AI governance processes, and develop strategic awareness and training programs to ensure sustained legal and ethical AI deployment.

We invite applications for up to three Postdoc positions in the field of hybrid control for multi-robot systems. The successful candidates will join a research group that is focusing on new control methodologies for multi-robot systems.

It is expected that the successful candidates will conduct research in this area, interact with doctoral and master students, and be involved in collaborative work in national and international projects. The position is associated with multiple projects, including the EU projects ERC CoG LEAFHOUND, Horizon-Europe Innovation Council (EIC) project “Symbolic Logic Framework for Situational Awareness in Mixed Autonomy” (SYMAWARE), and Digital Futures project “Towards Safe Smart Construction: Algorithms, Digital Twins and Infrastructures” (DF Smart Construction). 

The PDC Center for High Performance computing at KTH is a leading infrastructure for academic computational research in Sweden. PDC operates national supercomputing resources, including the currently fastest academic supercomputer in Sweden, Dardel, an 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 including the BioExcel Centre of Excellence (www.bioexcel.eu) as well as GANANA, an upcoming collaboration project between EU and India.

We are looking for a researcher to participate in the technical, training, dissemination and project management activities in the HPC Scientific Software group at PDC. The activities will be on 1) developing of workflow solutions around GROMACS and related biomolecular tools, 2) developing training material (tutorials and courses), as well as dissemination and outreach material, 3) delivering workshops and seasonal schools, 4) supporting the biomolecular simulation community and 5) supporting project management activities in BioExcel and GANANA.   

The Social Robotics group from the division of Robotics, Perception and Learning at KTH Royal Institute of Technology is seeking a highly motivated postdoctoral researcher to work on:

• Understanding and designing effective group human-robot interactions.
• Developing novel methods and machine learning based models for robots to learn and adapt social behaviors in multi-user settings.

The position involves conducting experiments, training ML models, publishing high-impact research, and contributing to advancements in robotics, artificial intelligence, and social cognition.

Your responsibilities are:

• Lead research on algorithms or systems enabling robots to perceive, interpret, and exhibit appropriate social behaviors in groups.
• Design and implement data-collection studies involving human participants to evaluate robot interactions.
• Collaborate with a multidisciplinary team, including roboticists, psychologists, and social scientists.
• Publish findings in top-tier journals and conferences.

This is an interdisciplinary project in the area of Plant Biomechanics. You will be part of a project, where we combine mechanical modelling, soft matter physics, synthetic biology, and modern plant biology.

The overall aim is to understand the fundamental processes and feedback mechanisms whereby a plant cell wall is assembled, acquires mechanical properties, and undergoes oriented growth. You will be assembling (bottom up) and characterizing simplified models of the plant cell wall.

The Department of Materials Science and Engineering at the Royal Institute of Technology is seeking a postdoctoral researcher who will play a key role in promoting digitalization and sustainable practices within the metallurgical process industry. Responsibilities include collaborating with industry partners to develop and implement advanced digital technologies that enhance process efficiency and material recycling. The focus will be on optimizing recycling processes through the integration of digital tools, data analytics, and simulation techniques to improve decision-making and operational performance. This initiative will involve both theoretical and applied research, including the design and evaluation of process improvements and the adoption of sustainable technologies in real-world settings.

You will be required to work in close collaboration with other researchers from industry and research institutes in Europe. Regardless, you should not be afraid of traveling around Europe and staying in other European countries, since the majority of the work will be carried out in close collaboration with our industrial partners.

At the Department of Materials Science and Engineering we are offering a postdoctoral researcher position for development and implementation of crystal plasticity finite element method (CPFEM) modelling of complex microstructures in metallic materials under various loading condition. In order to design novel alloys and microstructures for load-bearing applications it is necessary to understand the evolution of local micro/macro-stresses and strains within the microstructures and at phase/grain boundaries is critical. Therefore, we the main aim of the position is to develop and implement microstructure-sensitive multi-scale computational models for prediction of mechanical behavior of complex multiphase microstructures under static and cyclic loading conditions. This work will support ongoing experimental activities on understanding the structure-property relationships of metallic materials. The CPFEM modelling will in particular support experimental studies using single grain mapping (3DXRD) of mechanical behavior of polycrystalline aggregates as well as experimental studies of structure-property correlations under fatigue loading.

The position should be highly interesting for researchers in computational materials science with a desire to deepen their knowledge and expand capabilities in the field of mechanical metallurgy and materials modeling. Furthermore, the postdoc will have excellent opportunity to widen their knowledge in physical metallurgy in general and to collaborate intensively with academic and industrial partners in Sweden and internationally as well as to contribute to large-scale infrastructure (synchrotron facility) research.

We are looking for a person who wants to contribute to our theory development and conceptualization of the area of complex socio-technical systems. Complex systems are often described as consisting of different parts or levels. Theories for complex systems, such as hierarchy theory, the attention-based view of organizations, social network analysis, and theories around innovation ecosystems, often focus on these descriptions, and define, for example, which parts are important or how different levels depend on each other. A common challenge for these theories is that they are often good at defining how the whole leads to interaction or can affect the parts in a system but are significantly worse at defining how the parts can affect the whole. The position will therefore contribute to developing the research direction by specifically analyzing and describing theory for how parts and levels of complex systems are connected, with the long-term goal of contributing concepts that can be used for modeling and simulation of complex systems. The position will participate in the development of future research projects and networks, also by applying research results in collaboration and network building with researchers at KTH and beyond for the development of the research direction.