Universitetslektor i datavetenskap med inriktning mot AI och cybersäkerhet

## Responsibilities - Contribute to both teaching and research with a focus on AI and cybersecurity. - Teach at both undergraduate and advanced levels, delivering current and research-based knowledge in AI and machine learning. - Teach courses aligned with your own research and expertise, and may also teach in other areas within the broader computer science curriculum. - Handle course administration, course development, and supervision of bachelor's and master's theses. - Supervise doctoral students. - Conduct innovative research with a connection to AI and cybersecurity, contributing to the PriSec research group and the institution as a whole in collaboration with other research groups. - Strengthen the institution's research competence using AI in relevant areas such as AI for cybersecurity, cybersecurity aspects of AI, and reliability of AI-based systems. - Collaborate with colleagues at the institution, representatives from the business sector, and other colleagues in the academic world. - Develop international networks and contribute to increasing research funding at national and international levels. - Collaborate with the surrounding society for mutual benefit and ensure that the knowledge and expertise at the university benefit society. - Be present and participate in daily work and community. ## Requirements - Hold a PhD in computer science or a related field. - Demonstrated research excellence in AI and cybersecurity. - Experience in teaching at the university level. - Strong publication record in reputable journals and conferences. - Ability to work independently and collaboratively. - Excellent communication and interpersonal skills. - Proficiency in English for teaching and research. - Willingness to contribute to the development of the institution's research and teaching environment. ## Nice to Have - Experience with specific AI technologies or cybersecurity tools. - Experience in international collaboration or research projects. - Experience in supervising doctoral students. - Experience in curriculum development or educational innovation. - Experience in industry collaboration or applied research. ## Benefits - Opportunity to work in a dynamic and inclusive academic environment. - Collaborate with leading researchers and institutions. - Contribute to cutting-edge research in AI and cybersecurity. - Access to a wide range of research resources and facilities. - Support for professional development and international networking. - A welcoming and supportive work community. - A chance to shape the future of AI and cybersecurity education and research.