Project assistant in subsea cable mechanics and mooring fatigue design

Chalmers University of Technology strives for academic excellence while addressing the challenges and needs of society and industry. We offer a creative and dynamic environment for research, education, innovation and applied science. Our teachers play a vital role in shaping and renewing education and teaching of high quality, giving students the best possible conditions. We are now inviting applications for a permanent position as Teaching Fellow, contributing to the development of education within Intellectual Property. Chalmers aims to become a globally leading university of technology, driven by high-quality research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive environment. The position also offers the opportunity to spend up to 20 percent of your working time participating in research or other professional development, enabling you to deepen your subject expertise and further grow as an educator. About the division and department The department of Technology Management and Economics conducts outstanding research within three broad areas: Innovation & entrepreneurship, Supply chain & operations management, and society studies. The position will be placed at the division of Entrepreneurship and Strategy. The division conducts research in innovation, entrepreneurship, strategy, and organisational behaviour. The division of Entrepreneurship and Strategy is a supplier of education, especially to the master program EBD (Entrepreneurship and Business Design) at Chalmers School of Entrepreneurship as well as MEI (Management and Economics of Innovation). The division is also engaged in R&D in collaboration with Chalmers Ventures and Chalmer´s co-owned Lindholmen Science Park. About the role You will teach, develop and lead courses primarily at master’s level. Teaching at other levels may be included. You will teach in the area of intellectual property (IP), with two main focus areas: a) management and strategy of IP in technology-based innovation and b) generation, development, analysis, and management of IP within early-stage entrepreneurial venturing processes. The teaching aims to equip students with knowledge, methods and analytical tools to understand how IP can be identified, packaged, scoped, protected, managed and used strategically in different organizational contexts and venturing processes. The content includes basic knowledge of different forms of IP rights, as well as more advanced perspectives on IP strategy, IP-based value creation, patenting and licensing, partnerships, IP analytics, freedom-to-operate considerations, commercialization, and the role of IP in new venture development, deep-tech entrepreneurship, and established technology-based firms. A central part of the role pedagogically is to connect theoretical frameworks with practical application. This may include case-based teaching, live cases, role-play pedagogy, supervision of student projects, applied workshops and collaboration with external actors from industry, the professional IP community, and the entrepreneurial ecosystem. You will be part of a teacher team that contributes to the development of the educational offering. As a teacher, we expect you to be interested in research and to continuously develop your own competence to be able to base your teaching on recent developments in research and practice. Your job may also include supervision of thesis projects, leadership and administration. Main responsibilities The main duties involve teaching at the first and second cycle levels.   As a Teaching Fellow, you will:   teach and supervise students develop and revise courses and programmes integrate new knowledge and research into education contribute to the pedagogical environment through reflection and collegial learning engage in utilisation and academic citizenship, for example through collaboration with schools or participation in internal committees Up to 20 percent of your working time may be spent participating in research or other professional development, in agreement with your manager. Qualifications A doctoral degree in a field relevant to the position, such as in management, economics, or law with an innovation and/or IP focus, or another closely related field Documented teaching proficiency and experience in teaching at first and second cycle levels Ability to design and develop courses with a reflective and critical approach Strong ability to combine subject expertise with understanding of student learning based on educational research and proven experience Good ability to connect theoretical perspectives with practical application, for example through cases, project-based learning or collaboration with external actors Documented competence in IP, including patents and other forms of IP rights, and their role in innovation, entrepreneurship, technology-based business development, and strategy Experience in course development at higher education level Higher education pedagogical training in accordance with current SUHF recommendations* Good language skills in English, both written and oral, at a level where you are confident to teach *Higher education teaching training in accordance with SUHF's recommendation, which includes higher education teaching courses of at least 15 credits, is required for employment as a Teaching Fellow. If the requirement for higher education teaching courses has not yet been fulfilled, employment may be offered as an Assistant Teaching Fellow. The employee is then expected to meet the requirements within two years and may subsequently be promoted to Teaching Faculty.  It is advantageous to have well documented: experience of teaching IP management, IP strategy, patent strategy, technology commercialization, entrepreneurship, innovation management or related subjects, including technology-related compliance experience of working with IP in practical settings, for example in startups, scaleups, established firms, technology transfer, consultancy, patent-related work, or public/private innovation support organizations experience of case-based, project-based, role play pedagogy and/or challenge-driven learning experience of course development and teaching in interdisciplinary educational environments experience of collaboration with external actors Terms of employment Permanent employment.

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  The following requirements are mandatory:  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.  The following experience will strengthen your application:  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.   For questions please contact:  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!