As a doctoral candidate in the group, you will have the opportunity to conduct cutting-edge research on topics related to databases and data management in conjunction with artificial intelligence (AI). The group's main focus is on systems for AI and AI for systems. Your task will be to help overcome technical challenges by going beyond today's AI systems and defining new, forward-looking research approaches and their solutions. The specific research tasks lie in the areas of LLM for Databases/Data Engineering, Learned Database Components and Natural Interfaces for Databases.
Table of Content
Summary
- Application DeadlineFebruary 8, 2026
- Study LevelPhD
- SponsorTechnical University of Darmstadt (TU Darmstadt)
- City to studyHesse
- School to studyTechnical University of Darmstadt (TU Darmstadt)
- Eligible CountryAll Countries
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Benefits
- Development and design – a comprehensive internal training program as well as opportunities for further qualification and development
- Vacation/Educational Leave – 30 days of vacation per year (for full-time employees) and 5 days of educational leave
- Sustainable and mobile – free travel entitlement in all regional transport in Hesse through the Hesse State Ticket according to the applicable fare regulations, as well as mobile working.
- Fit and healthy – free medical check-ups and a wide range of discounted sports activities
- Work-life balance – flexible working hours; company health management
- Old-age provision – supplementary pension scheme for public service employees (VBL) according to the applicable regulations
- Company bike/bike leasing
- Family-friendliness/Reconciliation of family/care/work – childcare services and payment of a child allowance (according to collective bargaining agreements), holiday programs
Requirements
A very good academic university degree (Master's or equivalent) in computer science/databases is required.
The applicants meet the following requirements:
- In-depth knowledge of machine learning and relational databases is required.
- Prior experience in the following specific topics is advantageous: Table Representation Learning, Learned Data Cleaning, Learned Cardinality Estimation.
- Practical experience in current programming languages such as Python, Java, JavaScript, C/C++ as well as technologies/frameworks such as PyTorch, Tensorflow, Git, LATEX, SQL, React and Linux is also advantageous.
TU Dresden expect excellent, independent research and encourage its publication at international conferences and in leading scientific journals. Successful applicants also possess very good written and spoken English skills, a high level of commitment, and the ability to work collaboratively. Reliability, creativity, flexibility, and excellent communication skills, as well as a cooperative, independent, and goal-oriented work style, are required.
Application Deadline
February 8, 2026How To Apply
Are you qualified and interested in this opportunity? Kindly go to
Technical University of Darmstadt (TU Darmstadt) on www.career.tu-darmstadt.de to apply
- For any questions regarding this position, please contact Ms. Mona Hajdu at +49 (0) 615116-25600 or by email at [email protected]
For more information, kindly visit TU Darmstadt scholarship webpage.
