Postdoctoral – AI & Data Science: The University of Tübingen and Boehringer Ingelheim are collaborating to offer a Postdoctoral Research Fellowship in AI & Data Science. This fellowship program aims to explore cutting-edge AI and data science research topics to enhance healthcare in human and animal domains.
Postdoctoral Research Fellow – AI & Data Science
Designation:
Postdoctoral Research Fellow – AI & Data Science (f/m/d, E13 TV-L, 100%)
Table:
| Role | Postdoctoral Research Fellow |
|---|---|
| Duration | 2 years (possible extension) |
| Location | University of Tübingen, Germany |
| Application Deadline | November 15, 2024 |
Research Area:
The project focuses on addressing challenges in biocatalysis through the application of machine learning techniques to streamline enzyme discovery processes. It emphasizes predicting and optimizing enzymes for industrial biocatalysis, developing in-silico methods to identify promising enzyme candidates, and utilizing Machine learning models to enhance enzyme activity predictions.
Eligibility/Qualification:
- Ph.D. or equivalent in Cheminformatics, Biochemistry, Enzymology, Structural Biology, Machine Learning, Bioinformatics, Natural Products Biosynthesis, or related fields
- Demonstrated experience in bioinformatics, data science, machine learning/deep learning, and enzymology
- Strong track record of publications in reputable scientific venues
- Interest in interdisciplinary work with excellent communication skills
- Experience collaborating in cross-sector teams is advantageous
Job Description:
As a Postdoctoral Research Fellow, you will work on innovative research projects at Europe’s leading AI and Drug Discovery Campus, collaborating with academic researchers and industry experts. Your tasks will involve developing and applying machine learning models to optimize enzyme performance in biocatalysis. Besides, you will have the opportunity to supervise research assistants, attend conferences, and partake in professional development workshops.
How to Apply:
To apply for this position, please submit your application (including a cover letter, curriculum vitae with publication list, certificates, and 2 academic references) via email to nadine.ziemert@uni-tuebingen.de. Ensure your email subject is “BI AI & Data Science and Machine Learning Fellowship Application”.
Last Date for Application:
Application deadline: 15th November 2024
Don’t miss this exciting opportunity to be part of a dynamic research environment that fosters innovation and diversity in science! Apply now to contribute to cutting-edge AI and data science research in healthcare.
