Ausschreibung IV-31/24
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Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Machine Learning and Security

Research Assistant - salary grade E13 TV-L Berliner Hochschulen

part-time employment may be possible

The Chair of "Machine Learning and Security" explores the interface between computer security and artificial intelligence (AI). The chair develops new approaches to protect learning-based systems and defend against attacks and malware. It is part of the Al Competence Center BIFOLD in Berlin.

The chair is looking for a research assistant (PhD student) for the project AIGENCY. This project investigates the opportunities and risks of generative Al (such as ChatGPT) from the perspective of computer security. It explores the attack surface of generative Al models and develops novel attack and protection mechanisms. The aim is to scientifically assess security risks and contain them at an early stage.


  • Research and security analysis of generative Al models
  • Analysis of vulnerabilities and attacks on generative Al
  • Development of protection mechanisms for generative Al
  • Scientific publishing and possibility of pursuing a PhD


  • Successfully completed university degree (Master, Diplom or equivalent) in Computer Science or in a related technical area
  • Strong expertise in machine learning and/or computer security
  • Good knowledge of German and/or English required; willingness to acquire the respective missing language skills
  • Interest and enthusiasm for cutting-edge research
  • Innovative and collaborative mindset

Research Environment

  • Exciting and challenging research work
  • Collaborative and positive academic environment•
  • Renowned and dedicated team
  • Vivid network of researchers worldwide

How to apply

Please send your application with the reference number and the usual documents (one file max. 5
MB) only via email to

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: or quick access 214041.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The


Published 08.02.2024
Number of employees ca. 8300
Category TU Berlin Research assistant without teaching obligation
Start date (earliest) Earliest possible
Duration until 31/10/26
Full/Part-time full-time; part-time employment may be possible
Salary Salary grade E13


Qualification Master, Diplom or equivalent
Language skills
  • German (good knowledge of language)
  • English (good knowledge of language)


Reference number IV-31/24
Contact person Prof. Dr. Rieck


Application deadline 08.03.2024
Reference number IV-31/24
Application documents Cover letter, curriculum vitae, references
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