
CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG · Göteborg
How can AI enable firms to trust each other and collaborate? or will it break our trust? Join our interdisciplinary research at Chalmers to develop new insights...
How can AI enable firms to trust each other and collaborate? or will it break our trust? Join our interdisciplinary research at Chalmers to develop new insights and tools for trust‑calibrated, AI‑supported decision‑making in SCM or Transport.
Join us at the Division of Supply and Operations Management, Department of Technology Management and Economics, and help advance knowledge in the supply chain management and AI fields. The project will be conducted in close collaboration with the Interaction Design and Software Engineering division at the Computer Science and Engineering department.
We are looking for an ambitious and analytical postdoc to join our team.
About us
The Department of Technology Management and Economics conducts research and education at the intersection of technological development and management/policy.
The division of Supply & Operations Management (SOM) performs 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 empirical and problem-oriented, with strong emphasis on theoretical, industrial, and societal relevance.
The Interaction Design and Software Engineering division conducts research and education in both Interaction Design and Software Engineering.
About the research project
This 2 year funded Postdoc project investigates how AI‑supported decision-making reshape collaboration, trust, and information sharing in a business-to-business context. Focusing on real-world supply chain management and logistics settings, it examines how trust in AI and between organizations influences data sharing, coordination, and joint efforts toward zero‑emission systems.
Using qualitative and quantitative methods, the project develops and tests a practical framework for “trust calibration” in AI‑supported collaboration, helping organizations understand when to rely on AI, when to verify its recommendations, and how to design governance structures for responsible and effective collaboration. We have a pool of interview data to begin the project.
Who we are looking for
A doctoral degree in supply chain management, operations management, information systems, or a related field (or an equivalent foreign degree). This eligibility requirement must be met no later than the time the employment decision is made.
Strong written and verbal communication skills in English.
Experience in conducting and publishing empirical (case studies, surveys, interviews, etc.) and analytical research methods.
Comfortable with basic coding used to develop the calibration model.
Demonstrated interest in topics related to AI, inter-organizational collaboration, trust, or transport/logistics systems.
Ability to work both independently and collaboratively in an interdisciplinary research environment.
You are expected to be somewhat accustomed to teaching and to demonstrate good potential within research and education.
It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline.
Experience working with AI-related topics, digital technologies, or data-driven decision-making.
Experience with mixed-method research designs.
Prior collaboration with industry or engagement in applied research projects.
What you will do
Conduct research on AI‑supported decision‑making, trust, and collaboration in transport and logistics systems.
Design and carry out qualitative and quantitative studies (e.g., interviews, surveys, and empirical analysis) and contribute to the development of a light weight trust calibration framework for AI‑supported collaboration.
Publish research findings in leading academic journals and present at international conferences.
Engage with industry partners and contribute to ongoing collaborative research projects.
Supervise master’s and/or PhD students to a certain extent
Possibility to engage in teaching at undergraduate/master’s level
The position is meritorious for future roles in academia, industry, or the public sector.
Contract terms
The position is a temporary full-time employment for two years.
The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.
What we offer
As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees.
A dynamic and inspiring working environment in the coastal city of Gothenburg.
Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
Application procedure
The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.
CV
A comprehensive CV, including a complete list of publications.
Details of previous teaching and pedagogical experience.
Personal letter
A brief introduction about yourself.
A summary of your previous research fields and key research outcomes that relate to this position.
An outline of your future goals and research focus related to this postdoc.
Use the button at the foot of the page to reach the application form.
A background check may be conducted as part of the application process.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.
We welcome your application no later than August 3rd.
Ala Arvidsson
Associate professor
ala.arvidsson@chalmers.se
Lisa Govik
Associate professor
lisa.govik@chalmers.se
Rebekka Wohlrab
Assisstant professor
rebekka.wohlrab@chalmers.se
We look forward to your application!
Join us at the Division of Chemical Physics, Department of Physics and Astronomy, and contribute to the development of next-generation artificial intelligence methods for materials discovery and sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University of Technology, with broad activities ranging from fundamental physics to applied research addressing societal challenges in energy, sustainability, and digitalization. About the research project The project aims to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials to identify new multicomponent optoelectronic materials for energy-conversion applications. The successful candidate will contribute to the development of an autonomous materials-discovery framework capable of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly motivated and independent researcher with a strong interest in artificial intelligence, computational materials science, and scientific software development. Mandatory qualifications A doctoral degree in Physics, Materials Science, Chemistry, Chemical Engineering, Computer Science, Applied Mathematics, or a closely related field, or an equivalent foreign degree. The degree must be awarded no later than the time the employment decision is made. Strong written and verbal communication skills in English. Experience in machine learning, scientific computing, computational physics, computational chemistry, or related fields. Experience with Python programming and modern scientific software development. Ability to work independently while contributing effectively to collaborative research projects. Strong analytical and problem-solving skills. Good interpersonal skills and a demonstrated ability to collaborate in interdisciplinary teams. You are expected to have some experience with teaching or supervision and to demonstrate strong potential for future development in both research and education. Meritorious qualifications It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you will: Develop machine-learning and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI models. Publish research results in leading international journals and present findings at international conferences. Contribute to the development of open and reproducible scientific software. The position also includes: Supervision of master's students and, to some extent, PhD students. Opportunities to contribute to teaching at undergraduate and master's levels. Collaboration with national and international academic and industrial partners. Contract terms The position is a temporary full-time employment for two years with the possibility of a one-year extension. The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn. What we offer As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. A dynamic and inspiring working environment in the coastal city of Gothenburg. Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A comprehensive CV, including a complete list of publications. Details of previous teaching and pedagogical experience. Personal letter A brief introduction about yourself. A summary of your previous research fields and key research outcomes. An outline of your future goals and research focus. Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than 17 July For questions please contact: Anders Hellman Professor anders.hellman@chalmers.se
Would you like to be part of designing next generation mobile communications system? Please consider to apply for our open Postdoc position in 6G radio digital twin (RDT)-assisted situation-aware integrated sensing and communications (ISAC) in distributed multiple-input multiple output (D-MIMO) systems for resilient and efficient intelligent transport systems (ITS) and 6G-integrated non-terrestrial networks (6G-NTN)! Chalmers University of Technology is located in Gothenburg on the scenic west coast of Sweden. It is among the top research schools in Europe. The research environment is international and English is the working language. Chalmers has a long tradition of international research in wireless communications in close collaboration with top international academia as well as both local and international telecommunications and automotive industry. A large part of such research is performed at the Department of Electrical Engineering (E2), where this post-doctoral position is announced. E2 is engaged in both fundamental and applied research, spanning a large variety of research areas including Automatic Control, Automation, Mechatronics, Biomedical Engineering, Communication Systems and Information Theory, Signal Processing and Antennas. Cross-disciplinary research is central and encouraged through projects across different groups within the Department. About us At the https://www.chalmers.se/en/departments/e2/ (E2) research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in areas ranging from transport and production systems to communication solutions and biomedical engineering. https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/ (CAOS) conducts research and education in wireless and optical technologies for communication and sensing. Combining fundamental and applied research, we address challenges in sustainability, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology. The https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/employs around 45 people, including 9 faculty and 25 PhD students, and is active in a wide range of topics in digital communication. These include 6G wireless systems, hardware-constrained communication, localization and sensing, vehicular communications, fiber-optical communication, and distributed information systems. The Wireless Systems team within the Communication Systems Group has a long and strong track record on 4G, 5G and 6G and Beyond mobile communications systems with currently 4 PhD students and 2 Postdocs. About the research project In this research environment, a postdoctoral researcher will be recruited within the Wireless Systems team to perform world-class research on 6G RDT-assisted situation-aware ISAC D-MIMO systems for resilient and efficient ITS and 6G-NTN. You will participate in interdisciplinary national and international research projects on 6G wireless systems with a special focus on proactive beamforming and resource allocation. In particular, you will be active within our new Chalmers Area of Advance Transport project https://research.chalmers.se/en/project/12938, and in our ongoing Swedish Research Council (VR) Research Environment https://research.chalmers.se/en/project/12006. 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, such as the EU Horizon Europe 6G-IA projects https://robust-6g.eu/and https://www.eco-enet.eu/, and within our research center https://www.chalmers.se/en/centres/witech/ at Chalmers, in particular within the project “Distributed communication and radar sensing convergence” (DisCouRSe). Who we are looking for The following requirements are mandatory: A doctoral degree in Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science, Communication or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made Strong skills in mathematical analysis are essential, particularly communication theory, statistical signal processing, and optimization techniques Strong skills in simulation techniques Strong written and verbal communication skills in English Excellent presentation and collaborative skills Strong interest in interdisciplinary work with researchers and engineers from other fields Previous first-author publication experience in IEEE journals You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: Knowledge in cooperative communications, distributed MIMO, integrated sending and communications (ISAC), reconfigurable intelligent surfaces (RISs), cell-free Massive MIMO at mm-wave and (sub-)THz are highly advantageous Knowledge in non-terrestrial networks (NTN), in particular low Earth orbit (LEO) satellites and high altitude platform stattions (HAPS) are highly advantageous Knowledge in digital twinning is highly advantageous Knowledge in machine learning is highly advantageous Knowledge in mobile communications systems, resource allocation, and backhauling/fronthauling, both wireless and fiber-optical are advantageous Knowledge about hardware components is advantageous Knowledge in wireless security is advantageous It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline Read more and apply here: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14971&rmlang=UK
Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We are seeking a Postdoctoral researcher to join our ambitious team at the Wallenberg Centre for Quantum Technology (WACQT), based at the Department of Microtechnology and Nanoscience (MC2). About us The https://www.chalmers.se/en/departments/mc2/ (MC2) advances the frontiers in quantum technology, nanoscience, photonics, and future electronic systems. Our cross-disciplinary approach drives innovations through collaborations across academia, industry, and society. We offer a vibrant, international environment with direct access to world-class nanofabrication facilities. At the https://www.chalmers.se/en/departments/mc2/research/quantum-technology/ (QTL), we explore how quantum physics can unlock radically new ways of processing information. Our research spans quantum computing, sensing, transduction, and thermodynamics, aimed at harnessing the behavior of light and matter at the quantum level. About the research project This project is a proof-of-concept effort aimed at demonstrating a reliable post-fabrication trimming process for Josephson junctions in superconducting qubits. Unlike open-ended exploratory research, this project is goal-oriented and experimentally driven. It requires both careful physical interpretation and structured technical validation. You will take primary responsibility for planning and executing the experimental program in collaboration with senior researchers. While the role does not include formal personnel management, scientific initiative and independence are highly expected. Key responsibilities include: Designing and executing cryogenic experiments. Characterizing Josephson junctions and superconducting circuits. Analyzing device behavior and degradation mechanisms. Correlating electrical performance with material properties (aging, interfaces, coherence). Contributing to reproducible superconducting qubit fabrication workflows within WACQT. The project is closely connected to ongoing superconducting quantum processor development efforts within WACQT. Who we are looking for The following requirements are mandatory: A PhD in Physics, Applied Physics, Materials Science, Electrical Engineering, or a closely related field. Strong experimental research experience in superconducting devices, quantum devices, low-temperature physics, nanoscience, or related areas. Experience with at least one of the following:programming experience in Python MATLAB or similar tools for data analysis and experiment automation. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experiences are considered beneficial, but are not required: Dilution refrigerator operation. Transmon qubit measurements. Microwave control and readout. Quantum coherence measurements. Thin-film characterization. Tunnel junction fabrication. Cleanroom micro/nanofabrication. Device simulation or modeling. We recognize that strong candidates may not match every listed qualification. If your experience aligns with part of the profile and you are interested in the project, we encourage you to apply. What you will do Experimental research Design and execute experiments on superconducting quantum devices. Develop and validate electrical trimming methods for Josephson junctions. Perform low-temperature measurements using dilution refrigerators. Device characterization and analysis Characterize superconducting circuits using DC, AC, and RF measurement techniques. Analyze complex experimental datasets and develop physical interpretations of device behavior. Investigate relationships between fabrication processes, material properties, and device performance. Collaboration and scientific communication Work closely with researchers in superconducting qubit development, nanofabrication, and materials characterization. Present results internally and externally through publications, reports, and conference presentations. The position is meritorious for future roles in academia, industry, or the public sector. Contract terms The position is a temporary full-time employment for two years with the possibility of a one-year extension. The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn. What we offer As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/ for employees. A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en. Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/ Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A comprehensive CV, including a complete list of publications. Details of previous teaching and pedagogical experience. Personal letter A brief introduction about yourself. A summary of your previous research fields and key research outcomes. An outline of your future goals and research focus. Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than August 2, 2026