Rebekka Wohlrab

Chalmers University of Technology invites applications for a 2-year funded postdoctoral position in AI-driven collaborations, focusing on trust and decision-making. The research will be conducted within the Division of Supply and Operations Management, Department of Technology Management and Economics, in close collaboration with the Interaction Design and Software Engineering division at the Computer Science and Engineering department. The project aims to develop new insights and practical tools for trust-calibrated, AI-supported decision-making in supply chain management (SCM) and transport, addressing how AI can reshape collaboration, trust, and information sharing between organizations. The research will investigate real-world supply chain and logistics settings, examining how trust in AI and between firms influences data sharing, coordination, and joint efforts toward zero-emission systems. Using both qualitative and quantitative methods, the project will develop and test a framework for 'trust calibration' in AI-supported collaboration, helping organizations determine when to rely on AI, when to verify its recommendations, and how to design governance structures for responsible and effective collaboration. A pool of interview data is available to kickstart the project. Chalmers offers a dynamic and inspiring working environment in Gothenburg, Sweden, with generous employee benefits, including parental leave, subsidized day care, free schools, and healthcare. The university is committed to gender equality and diversity, actively supporting initiatives such as the GENIE Initiative. Swedish language courses are available for non-native speakers to help settle in. Applicants must have a doctoral degree in supply chain management, operations management, information systems, or a related field (or equivalent foreign degree) by the time of employment decision. Strong English communication skills, experience in empirical and analytical research methods, and basic coding skills are required. Demonstrated interest in AI, inter-organizational collaboration, trust, or transport/logistics systems is expected. The ability to work independently and collaboratively in an interdisciplinary environment is essential. Teaching experience and research potential are valued. It is highly meritorious if the doctoral degree was obtained within the last three years. Experience with AI-related topics, digital technologies, data-driven decision-making, mixed-method research designs, and prior industry collaboration or applied research projects will strengthen the application. The position is full-time and requires physical presence throughout the employment. A valid residence permit must be presented by the start date. The postdoc will conduct research, design and carry out qualitative and quantitative studies, contribute to the development of a trust calibration framework, publish findings in leading journals, present at international conferences, engage with industry partners, supervise students, and may participate in teaching at undergraduate/master’s level. The role is meritorious for future careers in academia, industry, or the public sector. To apply, submit your application via the online form by August 3, 2026. Attach your CV, publication list, teaching experience, and a personal letter outlining your research background and goals. Applications must be complete and written in English; incomplete or emailed applications will not be considered. References will be requested after the interview stage. For questions, contact Associate Professor Ala Arvidsson, Associate Professor Lisa Govik, or Assistant Professor Rebekka Wohlrab. Chalmers University of Technology is a leading institution in technology and natural sciences, fostering scientific excellence, sustainability, and innovation. Founded in 1829, Chalmers continues its tradition of advancing knowledge and technical solutions for a sustainable world.

Chalmers University of Technology is advertising a postdoc position in Human-in-the-loop Software Engineering for Secure Software Supply Chains within the ShiftLeft project, a national initiative funded partly by WASP (Wallenberg AI, Autonomous Systems and Software Program). The position is based in Gothenburg, Sweden, in the Department of Computer Science and Engineering, within the division of Interaction Design and Software Engineering. The project addresses an important problem in modern software security: software systems increasingly depend on third-party libraries, packages, and frameworks, creating complex software supply chains that can introduce vulnerabilities. The postdoc will focus on the human-in-the-loop aspects of a self-adaptive security analysis platform that combines static and dynamic security analysis. Research questions include how to design an adaptive layer that changes which security results are shown depending on context, which human and contextual factors matter most (for example developer experience, stress, and expectations), and how to formally model those factors so the platform can adapt its output intelligently. This is a salaried postdoc employment at Chalmers, not a purely scholarship-based award. The appointment is for two years full-time, with the possibility of a one-year extension. The role is embedded in a strong research environment with opportunities to collaborate with researchers working on cybersecurity, program analysis, software engineering, and related topics in the ShiftLeft project, including partner universities such as KTH, Linköping University, and Umeå University. Applicants must hold, or be very close to holding, a doctoral degree in Computer Science, Software Engineering, or an equivalent foreign degree by the time the employment decision is made. Strong English communication skills, independence, motivation, and strong analytical problem-solving ability are required. A documented research track record in a closely related area is also expected, and experience or aptitude for teaching is considered important. Recent PhD completion within the last three years is noted as particularly meritorious. Work duties include conducting research, publishing in top conferences and journals, supervising master’s and/or PhD students to some extent, and potentially teaching at undergraduate or master’s level. The position is intended to be valuable preparation for future careers in academia, industry, or the public sector. Applications must be submitted in English through the Chalmers online system. Required documents include a CV with publication list, teaching and pedagogical experience, contact information for at least two referees, and a personal letter summarizing the applicant’s background, previous research, and future research interests. The deadline is 2026-09-15.