Lecturer in Cybersecurity, Faculty of Computer Science and Informatics – BSBI Hamburg (Freelancer)

GUS Germany GmbH

DEINE AUFGABEN Position •    Conduct teaching and examination duties in accordance with the applicable examination and study regulations for students. •    Creatively design and develop instructional materials that enhance the learning experience and engagement of students. •    Revise, design, and develop new curricula for assigned modules as required, ensuring alignment with academic standards and learning outcomes. •    Develop and set examinations or other assessment instruments to ensure that written/rewritten examinations are provided alongside regular examinations at least two weeks prior to the conclusion of the semester or as specified. •    Grade written examinations and other assessment results within the deadlines stipulated by the Administration Office and submit the evaluated materials to the office promptly. •    Organize and facilitate the inspection of written examinations or other assessed performances.  •    Actively participate in teaching evaluations by completing and submitting evaluation sheets prepared for each course. •    Supervise student dissertations, providing guidance and feedback, and assess and grade dissertations in accordance with academic standards. DEIN PROFIL Professional competencies •    PhD or PhD Candidate (in specific cases) with strong theoretical and practical knowledge in at least two of the following areas: 1.    Data Analytics and Visualisation  2.    Big Data Analytics  3.    Machine Learning / Deep Learning  4.    Computer Vision and Image Processing  5.     Natural Language Processing  6.    Conversational UI Design and Chatbot Development 7.    Robotics Software and Programming  8.    Robotics Operating Systems  9.    Robotics and Automation Systems  10.    Robotics Project Management •    Prior teaching experience in higher education at University level •    Very good knowledge of Windows OS, of MS Office suite (Excel, Word, Outlook, PowerPoint) and Microsoft Teams •    Scientific publications in a related discipline •    Fluent in spoken and written English (C2 level) •    Knowledge of German (for Germany) is desirable •    Knowledge of Educational Platforms (i.e. Canvas, Blackboard etc.) •    Working knowledge of timetabling software •    Sound knowledge of study regulations and rules Personal competencies •    Very good organizational and communication skills •    High social competence and assertiveness •    Maintaining an overview even with high workloads •    Entrepreneurial and economic way of thinking and working •    Resilient and flexible •    Motivated for further academic and professional development WARUM WIR? BSBI’s mission is to educate students to effectively shape the future and become excellent leaders of tomorrow in an ever-changing business world. It also aims to teach students to understand how businesses function and how economic success is generated. BSBI offers industry-relevant programs that focus on the development of practical entrepreneurial skills necessary for professional success. Located in the heart of Berlin, we are an international business school that offers academic excellence. We are a member of Global University Systems (GUS) and provide unlimited career opportunities for its students and staff.

HÖGSKOLAN KRISTIANSTAD

Join us in advancing research and education in Intelligent Systems. We are recruiting several Senior Lecturers in Computer Science specializing in Intelligent Systems. Join a growing research and education environment where you will contribute to developments in Artificial Intelligence, machine learning, distributed systems, computer engineering, computer security and embedded eystems. Research in Computer Science at Kristianstad University is conducted within the Research Environment of Computer Science (RECS), an expanding research environment focused on Intelligent Connected Systems. Research areas include Artificial Intelligence and Machine Learning, the Internet of Things, Cyber-Physical Systems, Embedded Systems, Distributed Systems, and Cybersecurity. RECS promotes interdisciplinary collaboration and addresses future societal and technological challenges through national and international partnerships. https://www.hkr.se/en/research/research-environment-of-computer-science/ The Department of Computer Science comprises approximately 30 staff members and offers education at bachelor’s, engineering, and advanced levels, including programmes in Software Development, Computer Science, Computer Engineering, and Machine Learning. You will be part of the Faculty of Natural Science. Read more about faculty’s research https://www.hkr.se/forskning/forskning-amnesvis/ Research of Computer Science Computer Science, see: https://www.hkr.se/en/research/computer-science-research/ Education https://www.hkr.se/en/about/organisation/faculty-of-natural-science/computer-science--education-and-research/  Responsibilities As a Senior Lecturer in Computer Science, you will play an important role in advancing and assuring the quality of our educational and research activities. Through your expertise and experience, you will actively contribute to our core areas of operation and help strengthen and further develop our research environment. The position includes conducting independent research within the Research Environment of Computer Science (RECS) and actively contributing to its continued development through scientific publications, national and international collaborations, and applications for external research funding. You are expected to strengthen the research foundation of our educational programmes and contribute to the development of future educational initiatives within the areas of Artificial Intelligence and Intelligent Systems. The duties include teaching, supervision, and examination at both undergraduate and advanced levels. You will contribute to the development, planning, and delivery of courses in Computer Science and Computer Engineering. Supervision of degree projects is also included, as is collaboration with industry and the wider community, particularly in relation to research and innovation. Administrative duties form a natural part of the position.   Qualifications A candidate who is qualified to be senior lecturer has displayed pedagogical proficiency and has a doctorate in Computer Science, Computer Engineering or another field relevant to the position or equivalent scholarly competence or other professional proficiency that is relevant to the position’s subject matter and the tasks that the position involves (HF chapter 4, section 4). You must have both scientific and pedagogical competence in Computer Science, Computer Engineering, or a closely related discipline. You have excellent oral and written communication skills in English. It is meritorious if you have: Proficiency in Swedish. If you are not proficient in Swedish, you will be expected to actively develop your ability to teach and communicate in Swedish within a reasonable period after your appointment. You are expected to have completed higher education teaching and learning training equivalent to 15 ECTS credits. Candidates who do not yet meet this requirement may complete the training within the first two years of employment. Postdoctoral experience, the Swedish qualification of docent (associate professor) or equivalent international academic qualifications Experience in collaboration and engagement with industry, the public sector, or the wider community Pedagogical qualifications and experience in educational development Experience of teaching in both Swedish and English Particularly meritorious is research within: Artificial Intelligence, Machine Learning, Data Analytics, Intelligent Connected Systems, Internet of Things (IoT), Cyber-Physical Systems, Cybersecurity, Embedded Systems, Computer Engineering, Real-Time Systems, Edge Computing, Distributed Systems or Autonomous Systems. We are looking for a professionally mature and self-driven individual with strong collaboration skills. You work effectively with others in a responsive, respectful, and flexible manner, while also demonstrating independence and initiative. The ideal candidate is goal- and results-oriented, skilled at building and maintaining positive relationships, and possesses strong pedagogical insight with the ability to adapt communication and support learning processes. You take a holistic perspective, work in a structured manner, and maintain a strong commitment to quality in all aspects of your work. Other Information The position is a full-time, permanent appointment starting by agreement. We normally apply a probationary period of employment. The workplace is located in Kristianstad on our beautiful campus, which offers good bus connections and parking facilities. Some teaching may be scheduled during evenings or weekends, and may also take place at locations other than Kristianstad.  Application You are welcome to submit your application below, together with a cover letter, CV, dissertation, and a link to publications or attached publications. The application must be prepared in accordance with the university’s Guidelines for Applications in the Recruitment and Promotion of Academic Staff. You can find the link to the guidelines at www.hkr.se/jobb. The application deadline is 2026-08-17. If you have questions about how to submit your application, please contact the system support at +46 (0)520-58 00 50 or via the support window.

ÖREBRO UNIVERSITET

Örebro University and the School of Science and Technology are looking for one doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. The PhD student will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Project description The PhD student will be affiliated with the Department of Computer Science and will carry on research within the field of cybersecurity for embodied AI. While cybersecurity threats in AI are often studied in software-based environments, the physical embodiment of AI in robots and autonomous systems introduces new, largely unexplored risks and opportunities. This PhD project will investigate: How embodiment and physical configuration affect the cybersecurity posture of AI-driven systems; The role of self-awareness in security, i.e., how robots can assess their own vulnerabilities based on their embodiment and operational state; How dynamic reconfiguration can enhance resilience, e.g., redistributing sensor reliance, modifying behaviour or adjusting control strategies in response to attacks. Rather than relying solely on traditional security mechanisms, this research aims to explore how AI systems can proactively evaluate their own weak points and autonomously adapt to mitigate security risks. Supervision: The doctoral student will be supervised by Dr. Alberto Giaretta (primary) and Professor Mauro Conti (secondary). The programme, doctoral studentship, entry requirements and selection To see the job advertisement in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260197 Information For more information about the programme and the doctoral studentship, contact Dr. Alberto Giaretta (alberto.giaretta@oru.se). For administration issues, contact Prof. Martin Magnusson (martin.magnusson@oru.se). At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterised by openness, trust and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentship The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: CV Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for bachelor's and master's degrees) Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility Description of research interests – detailing the field of research you are interested in, including, if applicable, theoretical and methodological approaches (2-5 pages). As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), http://www.kammarkollegiet.se/engelska/start. When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/ The application deadline is 3 August 2026. We look forward to receiving your application! As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.