We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers.

The research focuses on the development of the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both nationally and internationally. Here we gather internationally prominent researchers, in dynamic and outstanding research environments, as well as in national and international research networks.

We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs). This position offers a unique opportunity to collaborate closely with researchers across the Division of Marine Technology at Chalmers University, with a focus on maritime transportation risk analysis.

The goal of this project is to advance ultrahigh-temperature turbine engine materials that could potentially replace conventional Ni-based alloys. We aim to develop a novel system based on high-entropy ceramic coatings and refractory alloys, offering superior mechanical properties and oxidation resistance at extreme temperatures. This research will help push the boundaries of ultrahigh-temperature material science and may lead to the next generation of high-performance materials for aerospace and related energy sectors.

We are now seeking a postdoctoral researcher with proven experimental experience in coating materials for ultrahigh-temperature applications. Ideally, you also have some knowledge of high-entropy materials (ceramics or alloys) or refractory alloys. You will play a key role in driving the research forward.

To design human body models that reflect population variability—such as differences in age, sex, height, and BMI—SSMs are essential. These models describe how such covariates relate to 3D anatomical shapes, including the body’s outer form, bones, and internal organs.

Traditionally, building SSMs requires extensive manual work, including segmentation and landmarking of CT or MRI images. However, recent advances in AI/ML make it possible to automate much of this process. Pilot studies, including master’s theses conducted in collaboration with other Chalmers departments, have already shown promising results using predictive deep learning on medical images.

The aim of this postdoc project is to establish a pipeline for (semi-)automated segmentation and landmarking of full-body skeletal structures. Starting from manually processed data and existing models, you will process a large dataset of medical images to extract skeletal geometries. These will be standardized using mesh morphing techniques and expressed through a common template mesh (VIVA+), developed by our research group. Once aligned, the data can be statistically analyzed to produce models that predict skeletal geometry as a function of key covariates.

The Esbjörner lab focuses on understanding protein aggregation in neurodegenerative diseases, primarily Alzheimer’s and Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein aggregate interactions with cells. We are especially interested in exploring crosstalk of amyloid pathologies and the endolysosomal system of neuronal cells.

Through collaboration, we are expanding to use tools from micro/nanofluidics and analytical chemistry to better characterise and understand our experimental systems. The Esbjörner lab also have interests in exosome biology, single particle analysis, and drug delivery. 

Join a young team with a strong national and international network in the field of the rapidly expanding area of metal additive manufacturing at Chalmers University of Technology! This postdoc position offers unique opportunities to develop your skills and knowledge while making a difference for the future by contributing to the sustainable development involving a technology for manufacture of tomorrow.

This position focuses on research related to the full recycling cycle of sodium-ion batteries. The work includes developing processes for the recovery of valuable elements, carrying out hydrometallurgical purification steps, and preparing recycled precursors for new battery materials. The position offers an opportunity to contribute to a field of growing relevance within sustainable energy systems.

The division of Supply & Operations Management (SOM) conducts research, education and outreach activities related to logistics, operations management, and industrial marketing and purchasing. All of these areas relate to the broader field of supply chain management. Our research is problem-oriented and empirical, with strong emphasis on industry and societal relevance. Sustainability needs , digitalization, information technology developments and automation are focused drivers and enablers in our work. Our goal is to perform high quality research and education at bachelor, master and doctoral levels. 

The postdoc is expected to conduct high-quality research in a collaborative manner. Conducting interviews, workshops, and collecting case study data, translating the case observations into analytical representations, writing and presenting high quality papers, and being involved in teaching activities. Additionally, you will engage with our local networks, such as Northern Lead and Chalmers Transport Area of Advance as well as various international networks.

We are seeking a highly motivated Postdoctoral Researcher to join our dynamic research group at Chalmers University of Technology. As a key member of our organic electronics team, you will focus on electrochemical devices and wearable electronics.

Your primary goal will be to characterize the electrical properties of conjugated polymers with organic electrochemical transistors (OECTs) and investigate how the mechanical properties of conjugated polymers change during electrochemical oxidation/reduction cycles. The aim will be to develop wearable electronic devices that leverage these changes, such as variations in stiffness or stretchability.

You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties of diverse conjugated polymers.

The Wallenberg Center for Quantum Technology is a 12-year initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in qubits (i.e. the building blocks of the quantum computer) —caused by ionizing radiation from cosmic rays and radioactive materials— which tend to be correlated and cannot be corrected using existing error correction methods.

This project aims to better understand these radiation-induced errors and develop strategies to address them. It is a collaboration with two Canadian partners—Laurentian University/SNOLAB and the University of Waterloo/IQC—so the position will include both short- and long-term research visits to Canada.

The Wallenberg Center for Quantum Technology is a 12-year project aimed at building a quantum computer based on superconducting circuits. A part of the project is addressing specific challenges related to this goal. One such challenge is to efficiently read out quantum information from qubits. To achieve this, a first-stage microwave amplifier with very low noise is required. Over the past five years, our group has been developing Traveling Wave Parametric Amplifiers (TWPAs), and this project is a continuation of those efforts.

The Müller Research Group specializes in the materials science of organic semiconductors, polymer blends, and composites. Our research advances new plastic materials for wearable electronics and energy technologies. Collaborations with other universities, research institutes and industry partners play a key role in our work. Our group currently includes 1 Professor, 1 Senior Scientist, 4 Postdocs and 8 PhD students.

Your research will focus on significantly reducing the complexity of synthesizing conjugated polymers and on developing processes that are compatible with continuous flow chemistry. The goal of your project will be to achieve the reproducible synthesis of high-performance organic mixed ionic-electronic conductors (OMIECs). An example of our recent work can be found here. You will work closely with fellow PhD students and postdocs at Chalmers, collaborating with partners across Sweden and internationally. This role also offers exciting opportunities to travel and engage with external collaborators.

In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low-dimensional latent space representation of a distribution from which new examples can be drawn and images be generated. To be able to control and manipulate the images, one aims for a disentangled latent representation, so that different qualities of the resulting images are kept separate. For example, the shape of an object can be separated from its material properties, the viewing direction and the overall illumination. In this project, we will go one step further and develop disentangled latent representations, not just for individual objects, but for full three-dimensional scenes with multiple objects that might change over time. The goal is to provide support for operations like adding, modifying and removing objects, changing scene conditions, modelling scene dynamics, as well as automatically complete missing parts of the 3D scene.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoc in Innovation and Entrepreneurship

Deadline : Aug 11, 2025

View details & Apply

 

This highly interdisciplinary project aims to valorise agricultural residues by extracting their key components—such as cellulose, lignin, and silica—and optimising these for specific applications. Initial efforts will focus on developing suitable extraction methods. Later stages will include tailoring and characterising the materials in relation to their performance in their respective end uses.

Imagine yourself pioneering AI‐powered materials analysis for Chemical Looping Combustion (CLC) and Bio-Energy Carbon Capture and Storage (BECCS), developing cutting‐edge machine‐learning algorithms to automatically quantify SEM/EDX and EBSD datasets. You’ll work side‐by‐side with top academic and industry partners to decode microstructural and compositional insights that drive corrosion‐resistant, high‐performance materials. Join our vibrant, interdisciplinary team at Chalmers and leverage state‐of‐the‐art microscopy and data‐science tools to make a real impact on scalable, low‐carbon energy solutions.

Lithium-ion batteries are critical for electrified transportation and smart grid applications—two key components in the transition to a sustainable energy system. However, several technical challenges remain, including thermal risks, ageing, low utilization, and slow charging.

The overall aim of this project is to address these challenges by:

• Developing new data-driven and physics-based models of battery behaviour.
• Designing advanced BMS algorithms for real-time monitoring and control.
• Creating generalizable tools for various battery types, geometries, and chemistries.

The scope of methods and applications will be tailored in collaboration with the selected candidate. The work will be supported by our extensive battery testing facilities, including equipment for commercial cells, half- and three-electrode measurements, and advanced materials analysis.

Aviation will in the foreseeable future require liquid fuels. There is currently a strong need to improve and optimize catalysts for the production of sustainable aviation fuels from bio-based feedstocks. The use of bio-based feedstocks results in new challenges and the optimal catalysts as well as the relevant processes are unknown. The project will explore catalysts on a single atom level for the synthesis of bio-based aviation fuel. Single atom metal promoters dispersed in a metal host offers unique possibilities to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel experimental effort at Lund University using Ambient Pressure X-ray Photoelectron Spectroscopy (AP-XPS) and X-Ray Absorption Spectroscopy (XAS).

The main theme for the research at Chemical Physics is the development of sustainable energy systems by use of heterogeneous catalysis for alternative fuel production, emission control, energy storage, and fuel cells. The research is interdisciplinary with strong connections between fundamental and applied science. Chemical Physics is a dynamic and international environment that strives for scientific excellence through teamwork and combined theoretical and experimental efforts. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field kinetic modeling and kinetic Monte-Carlo simulations. Theoretical X-ray spectroscopy is, moreover, used to aid the interpretation of physical characterization of catalysts.

Are you ready to create the next generation, sustainable battery production systems? This is a great opportunity for a highly motivated postdoc candidate with a recently completed PhD degree to engage in state-of-the-art research. Join our diverse, professional, and friendly team of excellent researchers working on national and international top level research together with industry and international experts.