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

This project will be an important building block in the pursuit of a more sustainable aviation. The project will generate insights into what the impacts of electric aviation are and how they can be reduced. The research departs from prospective life cycle assessment, applying upscaling approaches and prospective databases. The work is expected to result in concrete assessments and design recommendations that are relevant to decision-makers and industry actors. One study will focus on near-commercial hybrid-electric aircraft developed by a collaborating company. The other study will investigate the more long-term potential of electric aviation for the future based on scenarios for battery development. The project builds on previous research and ongoing collaborations, providing a strong foundation for contributing to the electric aviation and prospective life cycle assessment fields.

The reduction of quantum gate errors represents the most important problem in the development of quantum computers in any device technology. By this metric, superconducting qubits constitute a leading platform, with the best demonstrated two-qubit gate errors currently at the 0.1-0.2% level (Sung 2021, Ding 2023). Meaningful quantum computing requires that these errors be reduced to 0.01% in a scalable and reliable way across the multi-qubit chip.

These quantum gate errors are fundamentally limited by decoherence. Dielectric loss is the currently dominant decoherence mechanism in superconducting qubits (Burnett 2019). Other important contributions to decoherence originate from phonons and quasiparticles.

Here we propose a study of decoherence at the level of the physics of the constituent materials. We foresee that this effort will drastically improve our understanding of the microscopic mechanisms of decoherence and its effect on our devices, which will directly help improve the design and process development of our devices already during the project.

We are looking for a highly motivated candidate with a PhD degree in molecular biosciences or similar. Excellent knowledge of English is a prerequisite, as the position is located in an international environment. We value personal characteristics such as high cooperative ability, self-motivation, independence, and a keen interest in addressing fundamental biological questions with quantitative approaches.
Hands-on experience with alpha-synuclein amyloid formation is required, together with expertise in spectroscopic methods, protein purification, mammalian cell culture handling, confocal and electron microscopy.
It is advantageous with knowledge of solution NMR and sample preparation for cryo-EM.

The position is centered around characterizing novel materials for the transition to sustainable energy by total scattering methods. In the newly founded Multiscale Inorganic Energy Materials group within Chalmers’s Energy and Materials division, we synthesize materials with novel structural motifs on different length scales. These are then functionalized as catalysts towards water splitting or CO2 reduction. Many of these new materials feature local structures that deviate from the average structure probed by X-ray diffraction. Yet, it is the local structure that will dictate the reactivity of the catalytically active site. You will investigate the relationship of materials’ local structure to their functional properties via total scattering methods.

For this mission, we seek a motivated and skilled postdoc to contribute to groundbreaking research at the interface between solid state chemistry, materials science, and catalysis. You will also be involved in the synthesis of materials, either performing them yourself or in collaboration with the group’s PhD students. You will explore the variation in local structure caused by different synthetic pathways on new layered bulk and nano materials and study the relationship to their physical and catalytic properties. Catalytic properties will be studied in close collaboration with researchers from the Applied Chemistry division. The objective is to develop novel structural motifs that can enhance the conversion of renewable energy into valuable base chemicals, such as hydrogen from water electrolysis.

The position is centered around creating and characterizing novel materials for the transition to a sustainable energy system. In the newly founded Multiscale Inorganic Energy Materials group within Chalmers’s Energy and Materials division, we aim to create materials with novel structural motifs on different length scales. These are then functionalized as catalysts towards water splitting or CO2 reduction. Within this project, you will create of novel layered materials where the A layer conducts electrons while the B layer features catalytically active edge sites for CO₂ reduction. This requires the investigation of different synthesis pathways towards the target composition and elucidation of the materials structure. The structure will then be related to physical properties and catalytic performance.

For this mission, we seek a motivated and skilled postdoc to contribute to groundbreaking research at the interface between solid state chemistry, materials science, and heterogeneous catalysis. You will prepare materials by methods of solid state chemistry, characterize their structure and physical properties as well as functionalize them as catalysts towards CO2 reduction. Catalytic properties will be studied in close collaboration with researchers from the Applied Chemistry and Chemical Engineering division. The objective is to develop novel structural motifs that can enhance the conversion of renewable energy into valuable base chemicals, such methanol or formic acid.

We are searching for two highly motivated and skilled postdocs to join our team and contribute to our exciting research in terahertz electronics. In this project, you will be at the forefront of investigating cutting-edge semiconductor devices and circuits to enable far-infrared electronics. The goal is to investigate and create a new framework for terahertz semiconductor electronics for space-borne Earth climate observations by combining high-performance compound semiconductors with advanced silicon integration methods. With this goal in mind, one postdoc will explore ultra-low-noise devices and other advanced terahertz receiver architectures. These two projects are supported by the European Research Council (ERC) and the Swedish National Space Agency.

Possible GNSS-related research topics can include, e.g., reference frames, crustal motion, glacial isostatic adjustment, atmospheric signal delays, ionospheric research, LEO-augmented GNSS, new space missions, etc. The Postdoc position is in the research group for Space Geodesy and Geodynamics. It is restricted to three years (2+1) with a review after the second year. Together we work to increase knowledge on how to best achieve a long-term sustainable planet. Our main working places are the Onsala Space Observatory, 40 km south of Gothenburg, and Chalmers University of Technology in Gothenburg.

This postdoctoral position is a full-time temporary employment opportunity for two years. The project is a part of the Wallenberg Wood Science Center (WWSC). The goal of the project is to explore and adjust the dielectric properties of nanocellulose.

Nanocellulose is used in various applications due to its impressive mechanical properties, thermal stability, and degradability. The high symmetry of nanocellulose results in the generation of high net value dipole moments of C-H and C-OH bonds.  This leads to high dielectric properties that, when interacting with electromagnetic waves impact light absorption, reflection, refraction, and transmission of the waves. The main tasks of the project will involve surface modification of nanocrystalline cellulose, creating films from it, and characterizing the dielectric properties using broadband dielectric spectroscopy and other relevant methods.

In the project nanocrystalline cellulose (CNC) will be used as the cellulose material. An initial part of the project is to characterize and surface functionalize the CNC. The surface modification is intended to promote uniform CNC aggregation during film formation. Since the alignment of crystals depends on how the film is prepared, different methodologies for film formation must be considered. The overall goal is to find correlations between dielectric properties, alignment of the crystals, and the surface properties of the crystallites in order to design films with tailor made dielectric properties. A key parameter in this process is to develop methodologies for creating interphases that provide the overall structure with flexibility, strength, and excellent optical properties such as transparency or uniform (tunable) structural color.

The Wallenberg Wood Science Center (WWSC) is a research center dedicated to achieving scientific excellence in the development of new materials from trees. The center aims to generate knowledge and build competence and expertise to drive innovative and sustainable value creation from forest resources. WWSC is a multidisciplinary collaborative effort between KTH, Chalmers, and Linköping University, made possible by a donation from the Knut and Alice Wallenberg Foundation. The forest industry also supports WWSC through the national platform Treesearch.

The postdoc position is focused on experimental work in advancing low-noise InGaAs HEMTs for cryogenic applications 1-100 GHz. Depending on the background of the applicant, the research can be focused on device physics and engineering or the full HEMT LNA.  We have international collaborations with US and South Korea and participates in the EU Chips JU project Move2THz for exploring InP HEMTs on silicon bulk.

In your role as a postdoctoral researcher, you will be integral to advancing the group’s research agenda by identifying unresolved challenges within the machine learning literature and devising research strategies to address them. Your responsibilities will extend beyond conducting your own research; you will also play a pivotal role in supervising PhD and potentially master students, overseeing projects proposed by you or aligned with the PI’s objectives. Throughout your postdoctoral tenure, you will develop the skills of an academic leader, proficient in managing the entire research process from conceptualization to the dissemination of published results.

A key aspect of human-AI interaction, which is neglected when designing AI systems, is the human decision-makers. In essence, the human’s perception of the communication received from the AI is core to this interaction. AI systems that are developed to bridge the gap between AI and humans, where humans are the consumers of AI system predictions, are intended to improve the quality of decisions. However, humans often make less than optional decisions since they are distorted by their cognitive biases, thus AI systems can reinforce biases or improve the way humans think about a situation. Thus, we argue that it is natural to use the dual-process theory as a lens to understand human cognition when designing AI systems that are intended to augment human intelligence.

In this project we seek to augment human intelligence by not only develop effective explanation techniques, but also by identifying ways to increase humans cognitive motivation for engaging analytically with the explanations from an AI system when designing AI systems that are intended to augment human intelligence.

This position is focused on research in applications of image analysis in the biomedical area, e.g. developing automatic methods to interpret images from medical imaging systems. The project aims to develop models to evaluate, predict and prognosticate diseases, focusing on lung cancer mainly using computed tomography images (CT), and other medical imaging modalities such as x-ray, ultrasound, and nuclear medicine imaging. We aim to develop state-of-the-art methods for medical image analysis, based on key enabling techniques from machine learning, estimation, optimization, and mathematical modeling. Our research is highly multi-disciplinary and will be performed in close collaboration with medical researchers from the Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and on the international scene.

This postdoctoral position is an excellent opportunity for an independent and motivated researcher interested in the analysis of Big Data for freight transport. Chalmers University of Technology is well known for its excellent research and education, it has been ranked 2nd in Europe in the subject of Transportation Science & Technology in 2023 according to Shanghai’s Global Ranking, and has a strong collaboration with industry and the public sector.

You will be devoted to micromobility research and specifically to running experiments, performing data analysis, and writing up results about intoxicated riding. We foresee large experiments with a motion analysis system, where intoxicated (and not intoxicated) participants will ride bicycles and e-scooters and perform different avoidance maneuvers. These experiments will be the basis to gather data for modeling road user behaviour and devise predictive models that may help machines understand human behaviour and prevent intoxicated riders to cause harm to themselves or other road users. Supervision and co-supervision of master and PhD students will also be part of your responsibilities. A small amount of teaching is also envisioned. Presenting research results in oral and written form is fundamental for this position to make sure results from the experiments are properly disseminated. Finally, you will also support writing new research grants on micromobility and intoxicated riding for different national and international sponsors.