Postdoctoral Fellowship (13) at KTH Royal Institute of Technology, Stockholm, Sweden

We are recruiting a highly motivated postdoctoral researcher to lead a project focused on implementing high-throughput, highly multiplexed serological assays for pandemic preparedness. You will contribute to efforts to understand factors that determine viral spread in the Swedish population with an end goal to prevent and ameliorate future pandemics.

You will establish the PhIP-seq assay in our lab, from library handling and assay optimization to sequencing and data generation. The work involves molecular biology, including cloning, PCR, next-generation sequencing, and serological assays. A key challenge is to develop a robust, high-throughput workflow enabling population-scale analysis of large cohorts.

The project is part of a broader initiative to combine advanced serology with innovative blood self-sampling approaches. You will work in a multidisciplinary research environment at KTH, interacting closely with collaborators in affinity proteomics, epidemiology, and computational biology.

This position offers the opportunity to take ownership of a method development project with a strong translational component, contributing to scalable solutions for infectious disease surveillance and pandemic preparedness.

We are looking for a Postdoctoral fellow with the task of validating and developing  new systems to emulate cancer microenvironments. The fellow will work on multidisciplinary projects collaborating with research groups across KTH, Karolinska Institutet, SciLifeLab, and Karolinska Hospital. The host environment will be the Division of Nanobiotechnology, SciLifeLab, KTH with the group of Professor Anna Herland.

The project aim is to simulate the tumor microenvironment at  two levels of complexity:

• Tumor-stroma interactions to uncover self-reinforcing ligand secretion patterns, which could become the target of novel therapies. This approach will be strongly supported by in silico digital-twin-like models of these interactions.
  • Vascularization of tumor models to enable improved studies of immunotherapies and combinatorial therapies. This approach will be supported with multimodal in vitro and in vivo modeling as well as clinical material.

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 doctors 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.

The advertised post-doctoral position is within an ambitious, 5-year Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI”. In this 18 Million SEK project, we want to dramatically reduce the cost and power for serving large language models such as ChatGPT. More project information and our project page with early publications.

The work will primarily entail design, implementation, and evaluation of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project.

As a member of the research lab, you will be involved in experimental systems work in collaboration with faculty members and several doctoral students at our research lab. You will contribute to scientific publications as well as to new grant applications.

The department of Mathematics at KTH is offering a two-year postdoc position. The research project will focus on the continued development and extension of a numerical method based on an integral equation formulation for the simulation of viscous drops in microfluidic flows. Surfactants that are soluble in the bulk fluid(s) play a key role in the drop dynamics. The project will extend the method in the commonly encountered, yet challenging, low-diffusion regime. A formulation involving a time convolution integral will be explored, together with a computational acceleration using a fast multipole type method. Depending on the candidate’s interests and background, the project may also include components of machine learning. The project spans theory, algorithms, software, and applications.

We are looking for a postdoctoral fellow with a strong interest in protein structure and self-assembly processes. Nature has chosen proteins as building blocks for many materials with remarkable functional and mechanical properties. Spider silk, with toughness higher than both steel and Kevlar, is one prominent example. Novel protein materials inspired by these structures could be part of the solution for a sustainable society. However, we need fundamental knowledge about how to assemble materials with properties in line with the natural products with the same efficiency and control as natural producers (e.g. spiders). In this project, we will dissect the triggering mechanisms of structural transition from alpha-helix to beta-sheets in spider silk proteins (spidroins). The project will include investigations of the thermodynamical and kinetic principles of alpha-helix to beta-sheet transitions of proteins as function of pH and ionic strength. A major part concerns how interfaces trigger structural switches in proteins. This will be studied by vibrational sum frequency generation spectroscopy.

The postdoctoral fellow is expected to have a leading role in the project and take the responsibility for running and further developing it. The position provides great opportunities for an ambitious researcher to develop skills within state-of-the-art biophysical methods such as vibrational sum frequency generation spectroscopy and NMR.

We invite applications for up to two 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 research group led by Henrik Shahgholian focuses on the analysis of Nonlinear Partial Differential Equations and Free Boundary Problems. The overarching goal of the project is to investigate the regularity of solutions and the geometry of free boundaries in various physical and geometric contexts. The successful applicant will work on cutting-edge problems in the field, including but not limited to:

• Regularity theory for elliptic and parabolic PDEs.

• The analysis of free boundary problems (e.g., obstacle-type problems, phase transitions, constraint maps, inverse scattering problems).

• Geometric and qualitative analysis of solutions to semilinear problems.

• Applications of PDE theory to a variety of problems.

•Take active part in organizing seminars in Nonlinear PDEs.

The candidate will be part of a vibrant and diverse research environment at KTH, benefiting from a strong tradition in analysis and close proximity to the Mittag-Leffler Institute and other major research hubs in the Stockholm area. Up to 20% of the position may include teaching or supervision duties.

The Division of Highway and Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project focused on developing mechanical modelling and performance prediction tools to enable the wider implementation of marginal aggregates in unbound granular materials (UGMs) for road applications. The project is conducted in collaboration with the Swedish Transport Administration and the Swedish National Road and Transport Research Institute (VTI).

The project aims to create a mechanics-based decision-support framework that can quantify the influence of aggregate mechanical characteristics and UGM material parameters on field performance. It builds on extensive previous research on discrete element method (DEM)-based computational tools for evaluating the effects of various material parameters on UGM response under monotonic and cyclic loading.

The postdoctoral researcher will lead work on extending DEM modelling to new material classes, including blends of conventional and marginal aggregates, scaling up the model for long-term performance prediction, and validating the model through laboratory experiments.

The position is research-focused, with opportunities to strengthen independence and build qualifications for future academic or industry careers. Teaching at various academic levels may also be included. The work will take place in a multidisciplinary environment combining expertise in pavement engineering, mechanics of pavement materials and structures, and machine learning. The role offers opportunities to contribute to high-impact publications and practical decision-support tools for the road engineering community.

We invite applications for a postdoc position in hybrid additive + subtractive manufacturing research with a focus on repair and remanufacturing of worn-out components particularly for high temperature turbine applications. The successful candidate will join a research team conducting cutting-edge research with the goal of helping the European manufacturing industry creating a more circular future through this focus. This will include an exciting work in terms of hardware/software use and upgrade of additive manufacturing machines to achieve optimal processing, which could be especially empowered by monitoring and computer programming in the context of circular approaches, such as manufacturing with minimal defects, repair and remanufacturing.

The candidate will work for two years on this cutting-edge topic. In addition, the candidate will contribute to other projects linked to the manufacturing for various additive and hybrid manufacturing applications. Within the two years course of this postdoc, it is expected from the applicant to:

1. combine laser wire DED with high-precision machining and develop novel strategies for repair and remanufacturing of worn-out components particularly from superalloys and stainless steels
2. implement in-situ sensors (3D scanner, thermal imaging, visual camera, etc.) and adaptive toolpath strategies to assist hybrid manufacturing.
3. develop digitally driven value chain models to estimate the environmental and economic savings of hybrid technology
4. create multiple high quality publications