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

The Division of Network and Systems Engineering at KTH invites applications for a postdoctoral research position funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). We are seeking a highly motivated researcher with a strong background in systems security and formal verification to join our research group. This position offers the opportunity to delve into cutting-edge research aimed at enhancing the security and reliability of modern systems.

Professor Tuuli Lappalainen’s research group is looking for a postdoctoral researcher for a research project that links regulatory variation to molecular, cellular and organismal phenotypes using a systems genetics approach. The project combines experimental work using CRISPR and single cell approaches with computational analysis. The specific project will be tailored according to the interests and expertise of the postdoc, and potential approaches can include angles from human genetics, gene regulation, cell biology and computational systems biology. Additional projects and collaborations can build on other research projects and data sets in the lab, ongoing collaborative efforts, as well as the postdoc’s own ideas.

The research group works at the international forefront of human functional genomics, aiming to understand how genomic variation contributes to diversity of human traits and diseases. We use both computational and experimental approaches across the disciplines of human genetics, functional genomics and molecular biology. In addition to the team at KTH, located at the SciLifeLab campus, Dr. Lappalainen also has an active research lab at the New York Genome Center, with close interactions between the teams.

The successful candidate will work to make a quantum-limited force sensor for scanning probe microscopy. The work will involve nanofabrication, cryogenic microwave measurements, and system integration of the force sensor with a scanning apparatus. Your work will primarily be at KTH in the laboratory run by Prof. David Haviland.

We are looking for a Postdoc in Machine Learning who will conduct research focussed on the modelling, prediction and planning of motions with applications to assistive technologies and robotics.

This position is part of a WASP-HS Networking Excellence Project (Netx) involving Umeå University, Uppsala University and KTH. The focus of the project is in particular to study how AI technologies can be applied for the purpose of preventative physiotherapy, e.g. for fall prevention. The role of the Postdoc in particular focusses on the development of novel Machine Learning-based methodologies and potential physical intervention/adaptation strategies that could be implemented by the project consortium – for example using a robot or other feedback mechanism that will be considered within the project. As part of the employment, the Postdoc will work in the research group of Associate Prof. Florian Pokorny and will also have an opportunity to collaborate closely with researchers within the NetX project as well as current doctoral students in Associate Prof. Florian Pokorny’s research group who are currently engaged in a variety of research areas in the field of Machine Learning and Robotics. Typical publication venues for the research conducted within this project are expected to include NeurIPS, ICML, AI Stats, IEEE/RSJ IROS, IEEE ICRA or other leading international conferences and journals.

The Division of Affinity Proteomics | KTH at the Department of Protein Science at SciLifeLab is recruiting three postdocs to work on various aspects of affinity proteomics for multiplex protein and antibody profiling of human body fluids. All three projects combine an experimental array-based setup to generate large amounts of complex data, which subsequently is followed by extensive and advanced data analysis. The work will be performed in a highly collaborative environment together with colleagues within the group as well as external collaborations.

The postdoctoral fellows will, for two years, work collaboratively on a project focused on studying the transport processes of polymer and colloidal systems in entangled cellulose fibre networks at different concentrations. The goal is to increase our knowledge to facilitate and optimise industrial processes. To achieve this, research will focus on macromolecular mechanisms controlling the interaction between cellulose fibres and selected polymer systems. One of the postdoctoral positions is experimental, including laboratory work using the infrastructure at the department and will pursue the use of advanced characterisation 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, respectively. The other position is theoretical and will use numerical coarse grain modelling tools to simulate the experimental work, including using these tools to analyse experimental data from the advanced characterisation techniques. The acquired knowledge from this project will be implemented in dedicated experiments targeting industrial implementation.  

Wireless technology has evolved over five generations, but the need for higher efficiency and reliability is never-ending. Our 6G research goal is to identify new groundbreaking algorithms and protocols that can enable tomorrow’s wireless applications and services. In this postdoc project, you will contribute to the 6G theory formation and establish yourself at the international forefront. Some possible research areas are mobility management in millimeter and terahertz communication, integrated communication and sensing, ultra-massive and distributed MIMO, and semantic communication. 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 can span over the physical, media access control, and network layers. Methods from networking, communication theory, machine learning, signal processing, and optimization will likely play an important role. However, we are not looking for microwave engineers.

The research will be carried out at the Division of Communication Systems at the EECS school, under the supervision of Prof. Emil Björnson (IEEE Fellow) and Visiting Prof. Marina Petrova.

The Division of Network and Systems Engineering at the Department of Computer Science is looking for a postdoctoral researcher in performance prediction and management of networked services. The research will center around prediction and forecasting of service metrics as a basis for dynamic resource allocation, in order to achieve management objectives. The solutions will be based on online statistical learning methods including reinforcement learning. A key challenge will be to develop solutions that scale in service complexity. The research will involve both analytical modeling and analysis, as well as implementation and experimentation on a network testbed.

You will work in the project ”Simulator-Embedded Nonlinear Programming for Optimized Process Design and Decision support”, which is a collaboration between KTH and LKAB. LKAB is an international mining and minerals group that supplies sustainable iron ore, minerals and specialty products.  The company is leading the green transformation of the iron and steel industry by developing carbon-free processes and products like sponge iron.

In the project you will be developing optimization methods for solving optimization problems with multiple objective functions and where some variables are determined by running a simulator. The goal is for the methods to be applied to LKAB’s processes. You will primarily work from KTH, but you will also have the opportunity to occasionally visit and work from LKAB in Kiruna.

Quantum key distribution (QKD) is a well-established technology to distribute secret keys between two or more parties for data encryption. Within this position you will experimentally investigate the integration of QKD into telecom networks, working in the Nonlinear and Quantum Photonics (NQP) group and the WACQT Quantum communication pillar led by Prof. Katia Gallo at the Department of Applied Physics. The group has experience in the study and development of advanced material structuring, photonic devices and systems for information and communication technologies. The main driver is to carry out applied research by developing fundamental ideas with great potential for revolutionizing future photonic products and applications. We are coordinating the EU national quantum communication infrastructure in Sweden (NQCIS) and responsible for the establishment of its main operational hub in Stockholm. In this framework, we are looking for a highly motivated candidate who will be a part of experimental demonstrations of QKD systems in lab settings and of in-field QKD implementations and tests across KTH, in the Stockholm metropolitan area and on long-distance links in Sweden (with a increased focus on free space-QKD), in partnership with academic and industrials actors. The project offers the opportunity to acquire experience on and contribute to large scale system experiments with state-of-the-art QKD technology, working on real use cases in an international and collaborative research environment.

The Quantum Nano Photonics group at KTH is inviting applications for a postdoc position in the field of quantum photonics at the single photon level. You will work in an international team to develop quantum photonic devices and instruments operating at the single photon level. You will be involved in European and international projects and will collaborate with leading research groups. The work will include optical measurements, optical instruments conception, assembly, validation and data analysis. You will be part of a team developing a quantum spectrometer to acquire spectra, time resolved data and photon correlations. You will also develop a bright source of entangled photons at telecom frequencies to enable new applications in quantum sensing. Demonstrations of the new quantum sensing techniques will involve optical microscopy and lidar at the single photon level.

This postdoc position will be a part of the Wallenberg Center for Quantum Technology, WACQT. WACQT is committed to promoting career development, diversity and gender equality through networking and supporting activities.

Come join our team as a Researcher and become part of a dynamic and innovative research department located at Scilifelab. Our research group is dedicated to advancing scientific knowledge and exploring new frontiers in the field of fluorescence microscopy. As a member of our team, you will have the opportunity to work with cutting-edge technology and collaborate with a talented group of researchers, gaining invaluable experience and contributing to groundbreaking discoveries in the field.

The subject of the position centers around the development and validation of new techniques and tools in the field of fluorescence microscopy. This includes designing and implementing experiments to improve the resolution, accuracy, and sensitivity of fluorescence microscopy, as well as optimizing imaging protocols and developing new functional imaging modalities for specific biological applications. The Researcher will work in a dynamic, interdisciplinary team to drive innovation and develop cutting-edge technologies in the field of super-resolution microscopy, with the ultimate goal of advancing our understanding of biological systems and improving human health.

We are looking for a postdoctoral fellow to take part in developing protein structures for new sustainable food products. Changing our food system is a key aspect in the transition to a sustainable society. In this process, new innovative ways of processing proteins are needed to achieve attractive structural and functional properties for food products that can facilitate the “protein shift”, from animal to plant resources. In this project, we will investigate how protein nanofibrils can be efficiently produced from different plant resources using enzymatic pretreatment. We will then evaluate the produced fibrils as building blocks in model systems for food and study how the structures are degraded in our food digestion system. The project will provide new knowledge that can constitute the basis for a more sustainable society as well as give us new insights into the biochemical properties of protein/amyloid fibrils.

The postdoctoral fellow is expected to have a leading role in projects with responsibility for running and further developing it. The position provides great opportunities for an ambitious researcher to develop skills within a rapidly growing research field at the interface between biochemistry, biopolymers and food science.

The goal of this project is to use computational-fluid-dynamics (CFD) methods for the analysis of turbulent urban flows. To this end, high-order spectral methods will be employed to perform both well-resolved large-eddy simulations and direct numerical simulations, in order to assess the influence of pressure-gradient, wall curvature and three-dimensionality in the dynamics of wall-bounded turbulence. We are also interested in using deep-learning methods to further understand the impact of the simulation parameters on the results and to effectively design novel flow-control strategies.

The researcher will become part of the VinuesaLab research group (https://www.vinuesalab.com), within the department of Engineering Mechanics,  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-peta 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).

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoc in timber-based hybrid structures and new connection technology

Deadline : 30.Apr.2024

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Edge Intelligence refers to the deployment of artificial intelligence workloads with edge computing resources. Such systems are supposed to be the bulk deployments of future networked infrastructures allowing low-latency access and interaction with such AI models, while on the other hand comprising for instance the size of such models. Edge Intelligence, in particular leveraging large foundational models, are likely to become the major application class in future 6G networks when it comes to augmentation, autonomous systems as well as assistance.

Our research group is focusing on science paving the way for novel edge computing systems and applications, emphasizing challenges related to large AI models and collocated mobile networks. In this context we are seeking postdoc candidates with the ambition to lead research in the domain of Edge Intelligence. The position comprises, on the one hand, research on efficiently deploying and managing large AI models such as foundation models on edge computing infrastructures. On the other hand, this research is supposed to be driven with the upcoming architecture of 6G networks in mind. The position involves collaborations within our research group as well as with other research groups from different disciplines and universities. It will also comprise collaborations with industrial partners.