Research Assistant

Technische Universität Berlin

Faculty V - Mechanical Engineering and Transport Systems, Institute of Machine Tools and Factory Management / Quality Science

Research Assistant

part-time employment may be possible

Your responsibility

• Participation in the research project “CyResNet – Framework and Network for Cyber Resilience in SMEs”, focusing on the development of an SME-oriented Total Information Security Management framework based on TQM principles and the EFQM model
• Analysis and evaluation of existing information security standards and cyber resilience frameworks as well as identification and prioritization of SME-specific requirements
• Design, modeling, validation, and optimization of a criteria model for assessing, achieving, and continuously improving cyber resilience in SMEs
• Derivation and prioritization of suitable organizational, technical, and personnel-related measures as well as design and prototypical development of a digital assistance system
• Development and evaluation of a network concept and a collaborative platform, including interviews, workshops, and focus groups with SMEs and other project partners
• Contribution to project management, scientific publications, project documentation, practical recommendations, and knowledge-transfer activities for academia and industry

Your profile

• Successfully completed scientific university degree (Master, Diplom or equivalent) in industrial engineering, engineering, business information systems, computer science, quality management, or a related field
• Solid knowledge of quality management, Total Quality Management, information security management, and cyber resilience
• Very good knowledge of the MO²GO software system (Method for Object-Oriented Business Process Optimization)
• Knowledge of relevant management models and information security standards, particularly EFQM, ISO/IEC 27001, NIST, or comparable frameworks
• Experience in analysing, structuring, and prioritising organisational, technical, and personnel-related requirements
• Experience with empirical research methods, particularly online surveys, qualitative interviews, focus groups, and the systematic analysis and validation of results