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

The postdoctoral research position is within the Mixed-Signal Integrated Circuits and Systems group at EECS/EES. The group performs research on the development of high-performance, low-power ASICs and system solutions for various applications that range from biomedical and wireless communication to emerging technologies, such as M3D, SiC, spintronics and non-conventional computing. A short summary of our activities is at: https://www.kth.se/profile/arusu/

We are looking for a highly-qualified and motivated postdoc in getting hands-on research experience in the area of Transportation Behavior and Artificial Intelligence. The postdoc will join a research team at the Division of Transport Planning. The postdoc develops the causal AI methodology and mobility behavioral graph under interventions, works closely with the researchers specialising in mathematics, causal inference, machine learning, data analytics and transportation science.

Department of Production Engineering is looking for one Postdoctoral Fellow in the field of digital twin for human-robot collaboration in smart manufacturing. This position will be financially sponsored by EU ODIN project and is responsible for both applied research and demonstrator development in the topic area. The outcomes will be tested and validated through actual assembly operations. The validated results will be used for benchmarking and a comparative study against the existing practice in industry.

This Post-Doctoral position is within the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable future through materials science.

We are working to create cluster states in the microwave frequency band (4-8 GHz) by synchronous pumping of a nonlinear superconducting circuit at multiple frequencies.  In theory, cluster states can be used for quantum information processing in a one-way quantum computer.  Our goal is to demonstrate this in an experiment. Your work will primarily be at KTH in group of Prof. David Haviland, but the research project is a collaboration with Aalto University in Helsinki Finland, and part of you time will be spent in the group of Prof. Pertti Hakonen.

In this postdoctoral position, you will conduct research in the development of new methods for balancing unstable hydrofoil boats based on a new monofoil concept for hydrofoils developed in the research at KTH. The challenges lie in optimizing the use of available sensors and applying creative new solutions using e.g. MPC, LQR and AI for maximum robustness and performance in stabilization. The research is closely related to the development of control strategies for unstable aircraft and spans areas such as theoretical modeling, development of new algorithms, implementation in simulators as well as on own boats with full-scale testing at sea.

Our group at the Division of Robotics, Perception, and Learning has long experience working on manipulation and grasping. In recent years, a large focus has been on manipulating deformable objects, examining methods of modeling both the objects and the interaction with the robot. We now plan to continue this work and expand it to include deformable and suction-based grippers. We are looking for a post-doctoral researcher to be a part of this new effort.

The aim of our project is to identify conflicts between specific parts of newly proposed EU legislation (Data Act) and data-driven practices in the creative industry in Sweden. Your tasks will be: a) interpretation of legal documents, b) to conduct workshops with creative industry stakeholders, c) qualitative analysis of workshop data. Based on the outcome of these tasks, you will contribute to the academic, legal and societal debates on which actors should be allowed to access and use data in data-driven creative industry. Furthermore, you are expected to contribute in a limited extent and according to your qualifications to the teaching in our media technology programs at KTH.   

Syrén’s research group currently recruits a postdoctoral fellow in the development of methods for enzyme design for selective biosynthesis and functionalization of food additives from CO2. The research is funded by SSF. The main purpose of this research project is to develop methods for sustainable biocatalytic production of edible oils, such as palm oil and coconut oil, from CO2 and through designed enzymes.

Driven by the environment concern and sustainable requirement, electric vehicles (EVs) have attracted global attention as they provide more environmentally friendly transportation. However, the large-scale utilization of EVs will greatly increase the electricity consumption in the grid. If charging of EVs are not managed, it will pose significant impact on grid and require expensive grid reinforcement. On the other hand, vehicle to grid (V2G) and smart charging will provide opportunities to minimize grid impact and provide grid support for smooth integration of EVs. Moreover, V2G can be integrated with renewables to form a virtual power plant (VPP) for enhanced sustainability and profits. This project will hire two researchers, one researcher will work on the development of optimization strategies for EV charging and integration as well as coordination of VPPs, the other researcher will work on the power electronics and control for V2G systems.   

The position will work within the new Swedish-South Korean research project Dynamic SALSA (Dynamic Scheduling of Assembly and Logistics Systems using AI) on smart production logistics. We will develop methods for structured and automatic collection and processing of large amounts of data, and based on that connect models/decision support for effective follow-up, planning and optimization of complex production and logistics systems. AI and machine learning are used for dynamic scheduling and execution.

The research follows an approach where attacks 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. 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 for experimentation, training, and evaluation of control strategies. The successful candidate will join a group of researchers that work on topics related to this project. You can read more about what is included in a postdoctoral position in the Employment Regulations and on the Swedish Agency for Government Employers – postdoctoral agreement

The particle physics group at KTH is involved in the ATLAS experiment at CERN. The main research interests are on measurements of the Higgs boson and in searches for new long-lived particles. We have made significant contributions to the design, construction and commissioning of the Liquid Argon calorimeter pre-sampler and are currently involved in the design of a new detector called the High Granularity Timing Detector (HGTD) to be constructed the upcoming years and installed in ATLAS in 2027.

The Nonlinear and Quantum Photonics group  (https://www.aphys.kth.se/qbp/nqp) at the Department of Applied Physics is offering a postdoctoral research position to develop a low-loss technology for chip-scale integration of lithium niobate and silicon photonic circuits. The position is supported by the Knut and Alice Wallenberg Foundation to promote Swedish-Finnish cooperation in the area of quantum technology and involves collaboration with VTT-Finland in synergy with WACQT, the Swedish initiative for quantum technology. The project offers the opportunity to develop cutting-edge technology for integrated and quantum optics on state-of-the-art silicon and lithium niobate photonic platforms, working in an international and collaborative research environment.