Ihre Bewerbungsdaten
Egal, ob Sie eine Stelle für den Berufseinstieg suchen oder bereits Berufserfahrung mitbringen:
Bei uns werden Sie fündig!
Informationen zur Stelle
Stelle:
Head of Scientific Research Projects / Postdoc (m/f/x)
Unternehmen:
Technische Universität Berlin
Anforderungen:
Requirements
university and PhD degree in Computer Science, Artificial Intelligence, Mathematics, Physics, Computational Linguistics or a closely related field
a strong and proven publication record in top-tier venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, KDD, WWW, AAAI, etc.) in Natural Language Processing, Knowledge Graphs, or Machine Learning
proven success in securing research grants, with strong interest and experience in obtaining competitive grants
solid experience in developing AI models (NLP/ML) on HPC systems
experience in supervising PhD and Master''s students and in managing scientific research projects
excellent communication skills in English, both written and spoken
preferred qualification: Prior postdoctoral research experience
How to apply
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Aufgaben:
Tasks
initiating and leading independent, high-impact scientifically complex research projects in the above areas
presentation of the scientific research results at top-tier (CORE A) conferences and publishing in renowned journals
initiating, coordinating, and writing research grant proposals
fostering and managing collaborations within national and international research consortia, including with industry and interdisciplinary partners
taking a leading role in supervising and mentoring PhD and Master''s students
engaging in teaching activities, such as specialized and advanced seminars (no foundational lectures)
The position comes with access to high performance computing resources and access to training opportunities within ScaDS.AI.