Research Associate at the Institute of Software Security

• Conducting independent and world-class research in the field of security
• Publishing your research results in peer-reviewed journals and presenting at international conferences
• Collaborating with other researchers and visiting other research institutes for academic collaborations and exchanges
• Contributing to the institute´s teaching activities, including the supervision of master´s and bachelor´s theses
• Participating in the preparation of project proposals for the acquisition of external funding, * Opportunities to collaborate internationally with leading scientists and companies in the field of security
• Support and guidance to pursue a doctorate as well as develop and publish your reserach ideas
• Flexible working conditions
• 30-day vacation per year

At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions. With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.

Note regarding the Standard Enquiry under Section 34a of the Hamburg Security Clearance Act: The department will submit an enquiry to the State Office for the Protection of the Constitution regarding any information it holds on the person selected in the recruitment process, provided that the legal requirements are met ( and ).

• Completed scientific university studies (masters degree or equivalent), in particular in the subject Computer Science and Engineering or equivalent, * Outstanding academic results and qualifications
• Excellent communicaton skills in English (both oral and written)
• Programming competence in C/C++, Java, and Python
• Knowledge and experience in Machine Learning