26 Postdoctoral Fellowship at Chalmers University of Technology, Gothenburg, Sweden

The postdoctoral research will focus on developing a digital twin ship simulation model for autonomous shipping in restricted waterways.

A database of model examples has already been developed, and your work will build upon and refine these models to meet the project’s objectives. Collaboration is key—you will work closely with researchers and PhD students within the Division of Marine Technology.

The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting inverse design in integrated photonics. This research is part of the Metapix Excellence Centre (2024-2029) aimed at realizing breakthroughs in integrated photonics. You will thus be part of a team of PhD students and postdocs in a constellation of local theoretical and experimental groups working towards a common goal.

For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments.

We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated power network.

The project will be carried out in close collaboration with leading industrial partners, including Hitachi Energy Research, and will address the pressing challenge of maintaining power system stability in grids increasingly dominated by converter-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with advanced energy technologies.

We are seeking postdoctoral scientists to work on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal we have a variety of projects related to:

• Simulation, design and characterization of quantum processors
• Development and optimization of nano-fabrication processes for large-scale devices
• Development of optimal control techniches to achieve fast and high-fidelity qubits operations
• Design and implementantion of automatic calibration techniques for fast tune-up
• Implementation and benchmarking of quantum algorithms

This postdoc project involves discovery of inhibitors of bacterial protein-tyrosine kinases, which will be tested for their capacity to hinder bacterial biofilm formation and virulence. The aim of the project is to generate knowledge-based peptides with the use of generative AI, and test them for kinase inhibition and prevention of biofilm formation in several relevant bacterial pathogens.

Your work tasks as a postdoc will include microbiology assays, protein purification and biochemical assays. You will work with infection models, MS-proteomics analyses and advanced microscopy. In this role, you will belong to an interdisciplinary group at Chalmers, and will regularly interact with experts in generative AI.

This position is part of the research project “Reconstructing the full density structure of the star-forming interstellar medium”, funded by the Swedish Research Council (PI: J. Kainulainen). In this project, we combine novel observational data, such as Gaia-based dust density measurements, with advanced modeling techniques developed by our team to investigate the key density statistics across the scales relevant for star formation. These statistics provide unique constraints for current models and theoretical frameworks of star formation. Our research team is active in a number of international collaborations and the position includes ample possibilities for building collaborations and networking.

Your major responsibilities will be to make progress on the understanding of the long-time, turbulent behaviour in models of magnetized fluids. This includes questions about stability, critical in the design of plasma confinement devices. Modus operandi in the project is to make progress on these difficult question via structure-preserving numerical methods (cf. “matrix hydrodynamics”) along the lines recently developed at the mathematics department.

This postdoc project involves a collaboration between the Mijakovic lab and Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings.

As a postdoctoral researcher, you will develop methods to functionalize graphene with a range of bio-receptors (aptamers, antibodies, Cas9) while maintaining its exceptional sensing properties. Together with other team members, you will contribute to benchmarking and optimizing sensors for infection diagnostics. You will be part of an interdisciplinary research environment at Chalmers and collaborate closely with experts from MHC.

This postdoctoral position focuses on developing and demonstrating solutions that enable the concept of “Energy Islanding as a Service”. This concept will  showcase capabilities of an energy island to not only optimally supply its own energy demands and support the grids in normal conditions but also to securely and optimally supply its critical services in critical situations and to support the grids with the black-start power for grid restoration.

The position will, in collaboration with other researchers in the project, focus on developing:

1. A measurement and control platform for optimal island operation of Chalmers’ wind-battery system.
2. Machine learning-based forecasting tools for renewable production using limited local measurement data.
3. An adaptable multi-timescale energy management system for energy islands.
4. Models for ancillary service provision to transmission and distribution system operators (TSOs and DSOs).
5. Real-time operation and control solutions using grid-forming (GFM) controllers for both grid-connected and islanded operation.

Two postdoctoral positions linked to the research project “Feeding and feedback in the dark hearts of galaxies”, funded by the Knut and Alice Wallenberg foundation (PI: S. Aalto). In the project we use multi-wavelength techniques, including recently developed mm and submm observational methods, to reach into the dark hearts of dusty galaxies. New machine learning techniques are applied to study nuclear evolution and galaxy-SMBH co-evolution. We are seeking 2 ambitious, highly-qualified postdoctoral researchers with experience in any of the following areas:

1- mm/submm/radio interferometric studies of nearby and/or distant galaxies, AGNs and starbursts

2- optical and IR studies of host galaxy properties

2- 3D radiative transfer modelling,

3- galactic dynamics, outflows and feedback; 

4- numerical techniques for modeling galaxy evolution, machine learning and AI techniques .

The postdoc will be in the NLP@DSAI group and supervised by Richard Johansson. The postdoc has freedom in designing their research agenda as long as the topic can be aligned with the group’s interests. Topics that are of particular interest include:

• Language model interpretability, particularly mechanistic interpretability methods or applications of interpretability in multimodal or reasoning models.
• Evaluation methodologies for generative AI systems, in particular multimodal or reasoning models, and the impact of data on evaluation.
• NLP-based methodologies and applications in computational social science.

As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe. The aim to advance the use of X-ray techniques through a project focusing on X-ray tomography, opening up for 3D characterization of materials developed in FibRe. In particular, the objective is to through X-ray imaging study structure/morphology on fibre level, providing quantitative descriptors (dimensions of structural building blocks, size distributions, porosity, etc.) and reveal the influence on these by modification and processing. The work will also involve development of analysis tools and sample environments aiming towards in-situ/operando studies.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoc position in theoretical particle physics

Deadline : November 30, 2025

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Join us in shaping the future of 6G networks through cutting-edge research at the intersection of artificial intelligence, cloud systems, and next-generation communication infrastructures.

In this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud functions, using digital twins and advanced validation techniques. You will work closely with leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications.

The position will contribute to a number of ongoing research projects examining the pace and dynamics of policy and technology change as well as to the broader research agenda within the Energy Technology and Policy research group which focuses on understanding the feasibility of climate action and developing approaches for anticipating transitions. The group has a rich international network and a strong funding track record, including with an ERC Starting Grant and as part of a MISTRA network on Low-carbon Electrification in Sweden.

Novel materials that facilitate interactions of electrons and spins could revolutionize information processing and storage technologies. Towards this purpose, we aim to explore low-dimensional magnetoelectric and altermagnetic materials based on halides, chalcogenides and pnictides. You will contribute by materials synthesis, crystal growth, structural characterization, and initial measurements of physical properties of novel crystalline materials with interesting magnetic and electronic ground states. Here, a special focus lies on crystal growth through chemical transport reactions and flux methods as well as X-ray diffraction, magnetometry and electron transport in bulk phases. This is in line with experience within our group on materials growth, structural analysis by diffraction including the use of Rietveld refinement, and experiments at synchrotron sources.

The project is funded by the Chalmers Area of Advance Nano, and involves close collaboration with the groups of Sophie Weber (theory, physics) and Saroj Dash (experiment, physics), as well as research groups and large-scale facilities across Europe. The work will be guided by chemical heuristics in combination with theoretical predictions from symmetry analysis, electronic structure calculations, and high-throughput database screening. Techniques such as magnetometry, electron transport, angle-resolved photoemission spectroscopy (ARPES), and nanodevice-based measurements will be accessible through collaborations.

As a Postdoc, you will be integrated into the EU-project SEAlgaePower, in which marine microalgae-based technologies are used to upcycle nutrients from saline seafood process waters, while simultaneously producing valuable biomass.

A core of the project is to tailor mild biorefinery sequences to the microalgal biomasses for recovery of proteins, omega-3-rich lipids and polysaccharides applied in nutraceuticals, food, feed and beyond. Your focus is primarily on extraction and characterization of algal food protein ingredients, ensuring high yield and quality. The latter will be optimized from several aspects, including e.g., in vitro nutrient digestibility and volatile compound profile. The work will be carried out in close collaboration between academic and industrial partners paving the way for fast implementation of project results.

The selected candidate will focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state physics in order to effectively describe the response of bound electrons to an external dark matter perturbation.

The second line of research addresses the theoretical investigation of neutrino–electron interactions in liquid xenon detectors, which represent an irreducible background in direct dark matter searches. The expected outcome of this project has several applications to the field of dark matter direct detection and will allow the selected candidate to establish themselves as a leading researcher in an interdisciplinary field at the forefront of science.

The research will be conducted within the Division of Subatomic, High-Energy and Plasma Physics under the supervision of Professor Riccardo Catena. There will also be opportunities to collaborate with Professor Nicola Spaldin, Department of Materials, ETH Zurich.