Doctoral Positions at TU Berlin: 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.
Designation
Research Assistant (PhD Candidate)
Details Table
| Detail | Information |
|---|---|
| Number of Positions | 10 (5 in Data Management, 5 in Machine Learning) |
| Research Areas | AI, Data Management, Machine Learning |
| Location | Technische Universität Berlin, Germany |
| Eligibility/Qualification | Master’s degree in Computer Science or related field |
| Salary | Salary Grade E13 TV-L |
| Application Deadline | February 3, 2025 |
| Start Date | Earliest October 1, 2025 |
Research Area
- Data Management: Database Systems, Data Integration, Big Data Engineering, Analytics.
- Machine Learning: Machine Learning methods, Probabilistic Modeling, Intelligent Biomedical Sensing.
- Intersection of Data Management and Machine Learning: Data science pipelines, model evaluation, and data-centric ML.
Location
Technische Universität Berlin, Germany
Eligibility/Qualification
- 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
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
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
Last Date to Apply
February 3, 2025
For further information about the research groups and projects, please visit BIFOLD Research Opportunities and Thesis Opportunities.
