The Künze lab is looking for interested PhD student candidates who want to work in the area of deep learning and protein design. The position (75% TV-L) is part of the ScaDS.AI graduate school. You can submit your application through the online application portal: https://www.verw.tu-dresden.de/StellAus/stelle.asp?id=12032&lang=de&style=cms2
Indicate on your documents the topic ID 15.2 “Deep learning of protein-ligand interaction fingerprints based on functional atom matching for applications in drug discovery and protein design”
Requirements:
- outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA (at least finished before July 2025)
- very good programming skills and AI/ML knowledge
- good written and spoken English skills (CEFR level C1 or higher)
We offer:
- cutting-edge research in data science and artificial intelligence
- full funding (TV-L / minimum monthly gross salary of about 4.500 Euro full time)
- well-structured three-year qualification and research program in English with regular feedback and adjustment mechanisms (reading groups, summer schools, specialized courses, lecture series and soft skill courses)
- strong international orientation, guest program for research stays abroad, international mentoring and supervision by two principal investigators
- excellent hardware facilities for high performance computing and scalable AI
What to submit:
- master certificate and transcript of records (if not in German or English: original and official translation)
- curriculum vitae (as a PDF document)
- research statement (motivation to pursue PhD and the specific research topic you are interested in (maximum 3 positions))
- contact information of two references
- for non-native speakers: proof of English language test not older than 12 months (e.g. TOEFL, IELTS, CAE)
- proven language skills can be: completed degree program, school-graduation in Germany, TOEFL)
More information: