To ph.d.-stipendier i projektet How AI Changes Frontline Responsiveness

This Ph.D. position focuses on exploring how artificial intelligence (AI) influences frontline responsiveness, likely within organizational or operational contexts. Candidates should have a strong academic background, ideally at the master's level or equivalent, with a solid foundation in AI technologies, data analysis, and possibly human-computer interaction or organizational studies. Key competencies include understanding AI applications, machine learning fundamentals, and the ability to conduct rigorous research involving both qualitative and quantitative methods. Analytical skills and experience with data-driven decision-making processes are important. Familiarity with frontline operations, responsiveness metrics, and how technology impacts human behavior and organizational efficiency will be advantageous. Candidates should demonstrate strong communication skills for disseminating research findings and collaborating with interdisciplinary teams. While specific technical tools or programming languages are not detailed, proficiency in common AI and data analysis software such as Python, R, or relevant machine learning frameworks can be inferred as beneficial. The role requires a research-oriented mindset, critical thinking, and the ability to contribute to academic publications and project deliverables. Overall, the position suits candidates aiming to deepen expertise in AI's role in operational responsiveness and contribute to advancing knowledge in this emerging field.