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.

As a postdoc, you will be expected to perform field sampling and laboratory experiments, analyze and interpret the outcomes of these experiments, and how they correspond to data generated by our collaborators. Furthermore, you will perform tasks related to predicting genes responsible for antibiotic resistance from sequencing data, and contribute to large-scale screening for such genes in environmental microbiomes. You will be responsible for experimental planning, sample collection, data handling, writing of publications and communications of results from the project, as well as internal communication within the project. You may also take part in supervision of PhD students.

The position is at the Vehicle Safety Division with extensive collaboration with the Systems and Control Division, and will be in close cooperation with the Mathematical Sciences, and Computer Science and Engineering departments.

In the Vehicle Safety Division we perform research on both human factors and engineering to better understand the safety problem, find solutions, and assess the impact of both problems and solutions on safety. Specifically, within the research area of virtual safety assessment, we work on methodological aspects of prospective (predictive) traffic safety assessment of technologies and driver behavior. This post-doc position will focus on improving efficiency and accuracy of these virtual safety assessments. 

In the Systems and Control Division, department of Electrical Engineering, we are working on modeling and numerical optimization of problems in the areas of robotics, electromobility and autonomous driving. Also in this context, the post-doc focus is on efficient simulations.

In automated driving, perception systems are crucial for perceiving surroundings, localizing vehicles, and facilitating path planning and decision-making processes, which are essential for vehicle control. Perception technology must accurately detect traffic scenarios and, depending on the application, predict the behaviour of other road users. Perceiving them timely and accurately is a main challenge in automated driving, and addressing this challenge requires a considerable amount of research.

This research project is on the domain of sensor perception modeling, within the application areas of virtual safety assessment of advanced driver assistance systems (ADAS) and automated driving systems (ADS). The focus of the post-doc is on developing open-source, transparent, and computationally efficient perception models in the application areas. The work will also include integration of the perception models into the prediction module for optimal, model-based, stochastic control in ADS. Sensitivity analyses on how these models trade accuracy, complexity and computational efficiency in virtual safety assessment simulations and in model predictive control for ADS is also part of the project.

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.

The Postdoctoral position is funded by the Swedish Foundation for Strategic Research (SSF) as part of the research project SAICOM, which aims at breaking new scientific ground in the subject of software, wireless networks, and artificial intelligence. More information about the project can be found here.

The Department of Microtechnology and Nanoscience focuses on research, innovation and education within the fields of future electronics, photonics, bio- and nanosystems. A close collaboration with Swedish and international partners within academia, industry and society enables scientific excellence and creates an innovative environment. In addition to the 200 researchers and PhD students, MC2 houses a cleanroom for micro- and nanofabrication with the latest equipment.

In the Hybrid Quantum Systems Laboratory, we develop quantum technologies for sensing and tests of fundamental physics. If you have a passion for highly collaborative, experimental research this is for you!

The aim of the project is to develop a hybrid quantum system capable of generating macroscopic quantum states of motion. To achieve this, we will couple a single atom in an optical tweezer to a mecanical oscillator. On the way to this goal, we will advance the state-of-the-art in nanomechanics, optomechanics and cavity quantum electrodynamics. This is a highly multidisciplinary project involving nanofabrication, optomechanics and experimental atomic physics. The Hybrid Quantum Systems Laboratory is a new laboratory at Chalmers. We offer a newly renovated lab space and a state-of-the-art nanofabrication facility.

The aim of the project is to develop spin sensors that use optomechanical readout of ultrahigh-Q nanomechanical resonators. Strained nanomechanical resonators have reached state-of-the-art force sensitivities, but are composed of dielectric materials. We now seek to functionalize these resonators with nanomagnets for spin sensing and combine this with on-chip optical readout. These systems can be applied for biosensing and material characterization. The Hybrid Quantum Systems Laboratory is a new laboratory at Chalmers. We offer a newly renovated lab space and a state-of-the-art nanofabrication facility.

As a postdoctoral researcher, your main responsibilities are to lead and conduct research in collaboration with others, and to coach PhD students. You will be expected to develop your skills, the team, and contribute with your creative ideas. We value a collaborative attitude and an interest in working both independently and collaboratively in a team environment, sharing best practices and assuming responsibility. Self-motivation, attention to detail, and a creative problem-solving ability are important personal qualities for these positions. We highly value a collaborative spirit, a commitment to inclusive teamwork, and a drive for continuous learning and professional growth, ensuring a supportive environment for all team members.

You will work towards the further development of the VIVA+ finite element models, contributing in model development, verification, and validation. You will be expected to work with VIVA+ Developer Team and other contributors across various universities and organisations. The work will also include implementing machine-learning based workflows to extract crash kinematics from real-word incidents and simulate crash reconstruction.

The project ‘FlowSense: High-Resolution Empirical Traffic Flow Data for Research and Decision Making’ aims to produce empirical data of vehicle and pedestrian flows with high spatial and temporal resolution and extensive coverage, using reproducible methods, based on mobile phone GPS location data. Empirical data on traffic flows are instrumental for research and to support decision-making in diverse domains, including transport planning, urban logistics, urban mobility, urban design and planning. However, these data are simply non-existent or do not provide the necessary spatial-temporal coverage or resolution. The result of the project will report the intensity of traffic flows at the road link level, at different times, covering entire metropolitan areas in Sweden and abroad. The application of the data will be demonstrated in relevant transport and urban planning use cases, e.g. congestion, traffic safety, pedestrian exposure to noise, usage of public space. The database and the applications will support data driven decision-making in planning practice, overcoming existing limitations of traffic flow data.

The work will be carried out at the Division of Urban Design and Planning. You will work in a stimulating research environment with senior researchers, other post-docs and PhDs, affiliated with the research areas Local-Regional Transformations and Spatial Morphology, conducting research in the fields of urban analytics, sustainable mobility, spatial decision support systems, and urban morphology.

As a Postdoc in our team, your focus will be on sustainable battery manufacturing operations and management, in close collaboration with companies across battery value chains. Your starting point is to study battery production in the context of sustainability and circularity. As a Chalmers Postdoc you are expected to continuously expand your field of expertise, in close collaboration with the three research groups within the division. Our experienced research leaders and mentors will train you for a future research leadership position in academia or industry, in Sweden and internationally.

In the project, a novel and operational energy-based description of multimodal, urban logistics system is proposed. This energy based quantitative framework enables us to systematically and naturally target sustainability goals. In ELaaS, we intend to minimize the overall energy usage from consolidation centers to the customers’ doors. This approach gives ground to i) contrast modular solutions ii) quantify logistic solutions by energy footprints, iii) enhance social responsibility at different levels, and iv) couple logistics systems to power grid.

The following goals are formulated to reach within which the postdoc associate will mostly be involved in G3 and G4.
G1) Define logistics flows via models and mode shifts via scenario design method from authorities.
G2) Quantify the use of energy in logistics flows and devise energy optimal delivery solutions. Dynamically schedule micro platforms and charging-parking allocations.
G3) Analyze spatio-temporal energy usage of urban logistics systems. Perform sensitivity analysis under power grid interruption. Scalability analysis of E-Laas algorithms.
G4) Quantify demand for freight and analyze the customer behaviour change required to run E-Laas.

We are looking for a highly motivated Postdoc to join our research group at Chalmers. You will be part of our organic electronics team and focus on electrochemical doping as well as wearable electronics. The goal of your project will be to study how the mechanical properties of conjugated polymers change during electrochemical oxidation/reduction cycles, and then design devices for wearable electronics that harness the observed changes in, e.g., stiffness or stretchability. You will work closely with several PhD students and Postdocs in our group, as well as with several external collaborators, and together study the mechanical, electrical and electrochemical properties of different types of conjugated polymers. The following recent review provides an overview of the research topics that the position will address: https://pubs.rsc.org/en/content/articlelanding/2024/cs/d3cs00833a

Two recently granted research projects form the starting point for the two postdoc positions. Both projects are funded by the Swedish Transport Administration (Trafikverket). The first project covers a preparatory study on the fatigue performance of bridges made of weathering steel. The aim of this project is to compile the state of the knowledge and plan and prepare for the continuation of research in this field. The candidate will be primarly working with compiling and analysing the current knoweledge in the field, evaluating available fatigue test data and studying potential non-destuctive testing techniques with potential to be used in bridge inspection. Part of the work will also be devoted to the design of experimental program for accelerated enviromental testing in connection to fatigue testing.

The second project is devoted to the study of the fatigue performance of welded bridge details treated with High Frequency Mechanical Impact. The work includes comprehensive experimental program as well as numerical modelling work with respect to fatigue. One aim is to extend the group of details for which this treatment method is well documents to other bridge details.

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.

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.

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.

For this post doc position you will develop new models for next generation fuel cells and estimate the benefits and challenges for future hydrogen aircraft performance and operation. In close collaboration with industry, we develop new models for integrated fuel cell systems to better understand next generation fossil free aircraft. The effort will interlink with several on-going projects and staff, both from mechanical and chemical engineering, giving an excellent possibility to publish well.

Most ground displacement maps are based on the PS-InSAR technique, which works well for areas with many hard surfaces, like cities, but less well for areas with a lot of vegetation. The aim of the project is to analyze if the SBAS-InSAR technique can generate displacement maps for existing or planned transport infrastructure located in non-urban and partly vegetated areas. The feasibility to develop a monitoring system that integrates both PS- and SBAS-InSAR techniques should be assessed. The project will be carried out in collaboration with the Swedish Transport Administration and the Department of Technology and Society at Lund University

This opportunity is part of a broader research initiative focused on investigating material excitations far from equilibrium within the emerging field of ultrafast thermodynamics. Ultrafast thermodynamics translates well-understood concepts, such as entropy and heat, into characteristic time and length scales of material excitations. You will develop tools in ultrafast material science and nonequilibrium statistical physics to create an efficient framework for the thermal control of materials, as well as for the characterization of phase transitions and metastability.

The position is located at the Chemistry and Chemical Engineering department at Chalmers where we have a long tradition of multidisciplinary approach to valorization of biomass ranging from chemistry and technology of traditional pulping processes to novel routes of separating, fractionating and functionalizing forest biomass components in the spirit of biorefinery and biomaterials development. Apart from extensive collaborations with forest industry, the presence of the world-leading Wallenberg Wood Science Center has during the past 13 years strengthened the collaborative environment and facilitated access to extensive research infrastructure. In that context, development of novel methods for characterization of cell wall accessibility is an essential component in gaining the fundamental mechanistic understanding for the separation (and also valorization) processes applied on wood and forest biomass in general.

This project will be conducted with two research groups (Anna Ström’s and Merima Hasani’s groups) working jointly on valorization of biomass all the way from primary separation of the components to their functionalization towards specific applications. Our complementary competences will ensure a broad collaborative scientifc approch and strong practical experimental support. Moreover, the project will be financed and conducted within the framework of the Wallenberg Wood Science Center that will provide a wider impact of the work and open up for further development and collaborations.

Wallenberg Wood Science Center (WWSC) is a research center striving for scientific excellence with a focus on new materials from trees. The center creates knowledge and builds competence for an innovative and sustainable future value creation from forest raw materials. WWSC is a multidisciplinary collaboration between KTH, Chalmers, and Linköping University. The base is a donation from Knut and Alice Wallenberg Foundation, and the forest industry is supporting WWSC via the national platform Treesearch.
An important part of the center’s scientific work is development of analytical tools related to separation and recovery of wood components, which is the core of this postdoctoral project.

The project aims to harness the vast potential of underutilized marine resources, particularly focusing on by-products from algae and fish markets. At the Division of Industrial Biotechnology, under the guidance of Assistant Prof. Amparo Jiménez Quero, you will work with a diverse group of researchers specializing in various aspects of biomass utilization. This includes expertise in enzymatic degradation, molecular characterization of biomass polymers, and material formulation. The IndBio division boasts state-of-the-art infrastructure aligned with the project’s objectives, and collaborations with other divisions at Chalmers will ensure access to all necessary facilities for comprehensive research and innovation.

This postdoctoral position offers the possibility to study fundamental problems of machine learning (ML) via rigorous methods. By joining our young lab you will have the possibility to work, collaborate and supervise on projects that are timed, contributing to decide the research direction of the group for the upcoming years. Thanks to an extended network of connections, you will have the possibility to interact and collaborate with researchers world-wide.

In this WWSC project, our goal is to discover enzymes that can be used for tailoring and functionalization of wood polymers and wood-derived molecules. By applying characterization methodology of both the structure and the chemistry of the wood-derived streams, we can both identify how the enzyme act on the wood and understand their application potential. The overall aim is to identify glycosyl transferases (GTs) that can act on wood polymers and wood-derived molecules. The starting point will be to discover enzymes from the collection of filamentous fungi the lab has access to from studies of biodiversity in South East Asia. Identified enzymes will be carefully characterized and applied for functionalization.

The project involves molecular biology to clone and heterologously express genes of interest, protein production and purification, and detailed biochemical characterization of identified enzymes, including determination of substrate specificities using wood derived streams. Detailed structural and chemical characterization of the wood-derived streams will be an integrated part of the project. The project will also involve various systems biology approaches to identify new interesting enzymes to study. WWSC provides a network for collaboration with other researchers that are experts in different areas.

Wallenberg Wood Science Center (WWSC) is a research center striving for scientific excellence with a focus on new materials from trees. The center creates knowledge and builds competence for an innovative and sustainable future value creation from forest raw materials. WWSC is a multidisciplinary collaboration between KTH, Chalmers, and Linköping University. The base is a donation from Knut and Alice Wallenberg Foundation, and the forest industry is supporting WWSC via the national platform Treesearch.

You will participate in interdisciplinary national and international research projects on 6G wireless systems with a focus on adaptive radio slicing and bundling in 6G confluent wireless access and optical transport networks. You are expected to contribute with journal and conference papers, as well as projects related technical reports and administrative tasks.

The appointment offers great opportunities to qualify for further research positions within academia or industry as we have numerous ongoing collaborations with the leading academic groups and industry both nationally and internationally. In particular, you will be active within our new EU Horizon Europe 6G-IA project “Efficient Confluent Edge Networks” (ECO-eNET) that is coordinated by Chalmers and the optical networks group. You will also get the opportunity to be part of our new research center Wireless Infrastructure Technology at Chalmers (WiTECH), within the project “Distributed communication and radar sensing convergence” (DisCouRSe), https://www.chalmers.se/en/current/news/e2-new-wireless-technology-centre-drives-sustainability-and-innovation/. You will also benefit from interacting with colleagues working in our EU Horizon 6G-IA 6G Flagship project “Hexa-X-II”, https://hexa-x-ii.eu/.

You will mainly work in an EU project dealing with energy management systems for local energy systems, considering a variaty of different flexibility resources including, batteries, vehicles, heatpumps, ventilation etc. The project will develop and demonstrate innovative solutions and technologies, enabled by digitalisation, for local energy communities (LECs) aiming to increase the benefits from LEC. In addition the project will also investigate different market based solutions and its impact on LEC.

You will work in close collaboration with international project partners within the consortium of the projects. The position also includes departmental work (e.g., teaching) up to 20%, apart from the research tasks.

The role primarily involves developing control and orchestration methods for confluent networking. In summary, the main goals are to improve capacity, energy efficiency, and latency by implementing advanced control of new physical layer solutions as part of the ECO-eNET project. This will involve efficient provisioning using both existing and new controllers for wired, wireless, and computing systems, as well as an AI-enabled orchestration layer. AI-driven service and network orchestration will use network sensing technology to gather environmental data, support applications, and optimize networks. The applicant will also be able to interact with our national and international network of collaborators from academia and industry.

The project will involve microbiology, various (meta-)omics analyses, molecular biology to clone and heterologously express genes of interest in either bacteria or yeast, protein production and purification, and detailed biochemical characterization of identified enzymes, including determination of substrate specificities and kinetics. Additionally, various chemical analyses will be important to understand what happens to the material or individual molecules during microbial or enzymatic treatments.

We expect to additionally recruit 2 PhD students to the larger project, and as a postdoc you will have opportunities to take part in their supervision and in developing the research focus.

We are looking for a motivated postdoc with a background (PhD) in biochemistry/enzyme technology, chemical engineering relevant to lignocellulose-based processes, analytics, or microbiology and fermentation. No candidate is expected to have experience in all of these areas, but the research group and IndBio have solid collaborative networks and there will be opportunities to learn new skills throughout the project.

The scope of this two-year postdoc project is to design and create novel, 3D printed materials containing live yeast cells. You will use sophisticated genetic engineering tools to 1) improve inherent yeast properties, and 2) provide the yeast with completely new properties such as environmental responsiveness, metabolite production and ability to form volumetric material constructs. The project will be carried out in close collaboration with material chemists and architects that are experts on formulation, production and testing of sustainable, nature-based materials as well as 3D printing.

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.