Research Assistant (PhD Candidate): Join Technische Universität Berlin as a Research Assistant at the Chair of “Machine Learning and Security.” This position, affiliated with the AI Competence Center BIFOLD in Berlin, focuses on exploring the interface between computer security and artificial intelligence (AI). The research aims to develop novel methods for enhancing the trustworthiness and privacy protection of AI models and systems, with a particular emphasis on detecting security and privacy vulnerabilities and implementing effective countermeasures.
Research Assistant (PhD Candidate) – Machine Learning and Security
Designation: Research Assistant (PhD Candidate)
Research Area: Machine Learning and Security
Location: Technische Universität Berlin, Berlin, Germany
Eligibility/Qualification:
- Successfully completed university degree (Master, Diplom, or equivalent) in Computer Science or a related technical area.
- Strong expertise in machine learning and/or computer security.
- Ability to teach in German and/or English; willingness to acquire missing language skills.
- Interest and enthusiasm for cutting-edge research.
- Innovative and collaborative mindset.
Job Description:
- Conduct research on the trustworthiness and privacy of learning models.
- Analyze security and privacy vulnerabilities in AI systems.
- Develop protection measures for enhancing trustworthiness and privacy.
- Engage in scientific publishing.
- Supervise teaching courses and theses.
How to Apply: Please send your application with the reference number (IV-30/24) and the usual documents (one file max. 5 MB) via email to hashmi@tu-berlin.de. By submitting your application via email, you consent to having your data electronically processed and saved. Ensure to include your application before the closing date for applications, which is 08/03/24.
Please find the data protection notice according to the General Data Protection Regulation (DSGVO) at the TU staff department homepage: Data Protection Notice or quick access here.
Last Date for Apply: Closing date for applications: 08/03/24
Research Environment:
- Exciting and challenging research work.
- Collaborative and positive academic environment.
- Renowned and dedicated team.
- Vivid network of researchers worldwide.
Note: 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 vacancy is also available on the internet at TU Berlin Job Portal.
