The Berlin Institute for the Foundations of Learning and Data (BIFOLD) is offering 10 positions for doctoral students (Research Assistant, Salary Grade E13 TV-L Berlin) in the fields of Data Management and Machine Learning. This opportunity aims to engage students in cutting-edge research at one of the leading AI research centers in Germany, providing comprehensive guidance, professional development, and a family-friendly work environment.
Fact About The Technische Universität Berlin (TU Berlin)
- Rich History: Technische Universität Berlin (TU Berlin) was founded in 1879 and has a rich history of innovation and excellence.
- International Reputation: TU Berlin is one of the top universities in Germany and is ranked among the top 100 universities globally.
- Diverse Student Body: With over 35,000 students from more than 100 countries, TU Berlin has a diverse and international student body.
- Strong Industry Ties: TU Berlin has strong ties with industry partners, providing students with opportunities for internships, research collaborations, and job placements.
- Interdisciplinary Research: TU Berlin is known for its interdisciplinary research approach, combining expertise from various fields to tackle complex challenges.
- Berlin Institute for the Foundations of Learning and Data (BIFOLD): TU Berlin is home to BIFOLD, a leading research institute in AI and data science.
- State-of-the-Art Facilities: TU Berlin has state-of-the-art facilities, including modern laboratories, research centers, and libraries.
- Vibrant Campus Life: The university’s campus is located in the heart of Berlin, providing students with access to a vibrant cultural scene, historic landmarks, and a diverse range of restaurants and cafes.
- Strong Alumni Network: TU Berlin has a strong alumni network, with many graduates going on to become leaders in their fields.
- Sustainable Future: TU Berlin is committed to sustainability, with a focus on reducing its environmental impact and promoting sustainable development.
Eligibility For 2025 Scholarship At TU- Technische Universität Berlin
- A successfully completed academic university degree (Master’s, Diplom, or equivalent) in computer science or closely related fields with focus on BIFOLD core areas.
- Good programming skills (e.g., Python, Java, Scala, C/C++, Rust).
- For Data Management: experience in big data systems (e.g., Apache Flink, Apache Spark) or database systems (e.g., PostgreSQL).
- For Machine Learning: knowledge of ML theories, experience with ML algorithms, and familiarity with frameworks (e.g., NumPy, PyTorch).
- Teaching proficiency in German and/or English; willingness to acquire relevant language skills.
Description For 2025 Scholarship At TU- Technische Universität Berlin
Doctoral candidates at BIFOLD will engage in research projects focusing on current challenges in AI and Data Science. The work will involve developing novel theories, algorithms, and technologies, along with teaching responsibilities. BIFOLD promotes international collaboration and provides access to professional development opportunities such as conferences and workshops.
How To Apply For 2025 Scholarship At TU- Technische Universität Berlin
Interested candidates should send their application, quoting the job reference number IV-631/24, via email as a single PDF file to:
- Email: gsapplication@bifold.tu-berlin.de
- Documents Required:
- Completed application form (available at BIFOLD Application Form)
- Letter of motivation
- Latest CV
- Copies of Bachelor’s and Master’s certificates
- Official academic transcripts
- List of publications (if any)
- Names and contact details of at least 2 referees
Application Deadline is February 3, 2025