Luleå University of Technology is growing rapidly with world-leading expertise in several research areas. We shape the future through innovative education and groundbreaking research results, and based on the Arctic region, we create global social benefits. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 1.9 billion per year. We are currently 1,840 employees and have 17,670 students. In the coming years, billions of kronor will be invested in Norrbotten and Västerbotten in major projects aimed at a more sustainable society nationally as well as globally. Luleå University of Technology is involved in several of these highly topical research projects and the social transformation that follows. We have a wide range of programs to match the skills that are in demand. We hope you want to help us build the sustainable businesses and societies of the future. Here you have the opportunity to belong to an innovative research environment that develops new knowledge about one of the great societal challenges of our time - to support and understand the digital transformation in companies and in society. At the Information Systems research group at Luleå University of Technology, we have a need to hire a PhD student in Information Systems with a focus on data-driven decision making. The Information Systems research group is part of the Division of Digital Services and Systems which also includes the Center for Distance-Spanning Technologies and the Center for Security in Society and Critical Infrastructures. The division consists of about 35 employees including researchers, teachers and project managers. Subject description Information Systems focuses on the design and use of information technology in relation to people, organizations and societies. Project description In the MARTINA project, we intend to build on the conditions for green and digital transformation that exist locally in the Arctic to support the development of human-centered AI innovations. The project will contribute to Industry 5.0 and the green and digital transformation of society. This will be particularly important in the green transition based on Industry 5.0 where humans work side-by-side with AI systems, thereby enhancing human capabilities by, for example, predicting events, automating routine tasks, adapting to individual needs, streamlining tasks and supporting decision-making. AI design is different from traditional design processes as the systems are adaptive, predictive, learning. One consequence of AI is that humans have difficulty understanding its results, its meaning over time, and the basis on which decisions are made (so-called black box). This requires new approaches that do not exist today. The project is conducted in collaboration with other researchers at Luleå University of Technology but also actors both in the region and nationally, such as small and medium-sized companies. Work tasks A PhD position involves both theoretical and practical work. As a PhD student, you will be trained in scientific work in the form of publishing scientific articles in journals and at national and international conferences. You will also take compulsory and optional doctoral courses. In addition, you may have the opportunity to try out the role of teacher. As a researcher, you will work as a neutral party in many contexts, providing a great opportunity to learn how to run challenging development projects You will work in the field of information systems with a focus on data-driven decision making. Decision science is an interdisciplinary field that draws on several different areas, such as management, economics, statistics, psychology and, more recently, machine learning and AI. You will carry out research activities in areas involving theoretical and applied tasks. The research area is fundamentally socio-technical, which means that you as a person have the ability to understand both technical aspects and the situation of the user and other actors. You have the opportunity to choose and influence your focus in the field of data-driven decision-making together with your supervisor. Qualifications To be eligible for a PhD position, you must have a five-year university degree in information systems or other relevant subject. Good scientific skills and experience in qualitative and quantitative research and good communication skills in speech and writing. You will represent the group in different contexts, both in Sweden and abroad, hence very good knowledge of English is a requirement. We are looking for committed individuals who have: -An interest in innovation and research -A solid educational background, Master's degree or equivalent, in information systems or related fields (e.g. Master's degree in computer science) or have completed a university education of at least 240 credits, of which at least 60 credits at advanced level, including an independent project of at least 15 credits. -good practical knowledge of (big) data preprocessing, data analysis, programming -Experience of working with the data science landscape in previous projects. -Interest in decision and decision making. -Good communication skills to convey complex ideas with clarity and impact. For further information on specific doctoral training, see the curricula for doctoral training in the Faculty of Arts Information about the program Employment as a doctoral student is limited to 4 years, teaching and other departmental duties may be added up to 20% of full-time. Place of employment Luleå. Intended start date January 1, 2025. For further information, you are welcome to contact: Ahmed Elragal 0920-49 3670, ahmed.elragal@ltu.se Head of Department Johan Wenngren 0920-49 2059, johan.wenngren@ltu.se Trade union representative: SACO-S Kjell Johansson, 0920-49 1529 kjell.johansson@ltu.se OFR-S Lars Frisk, 0920-49 1792 lars.frisk@ltu.se How to apply We prefer that you apply for the position via the application button below where you attach a cover letter, CV/resume and copies of verified diplomas. Please mark your application with the reference number below. Both the application and the degree certificate must be written in Swedish or English. Please attach letters of recommendation from previous employers or clients. Deadline for applications: September 30, 2024 Reference number: 3270-2024