Postdoctoral Fellow – AI-Based Modeling: The Jan Kosinski group at EMBL Hamburg and the Fabian Theis group at Helmholtz Münich are seeking a highly motivated Postdoctoral Fellow to delve into AI methods for integrative structural modeling of macromolecular complexes. This role is a crucial part of the TransFORM consortium, funded by the prestigious ERC Synergy Grant, aiming to map the intricacies of protein translation machinery in human cells.
Postdoctoral Fellow – AI-Based Integrative Modeling of Macromolecular Complexes
Designation:
Postdoctoral Fellow
Research Area:
AI-Based Integrative Modeling, Structural Biology, Computational Modeling
Location:
EMBL Hamburg, Germany, with at least one year as a visiting postdoctoral fellow at Helmholtz Münich, Germany
Eligibility/Qualification:
- Ph.D. in Computer Science, Computational Structural Biology, or a related field
- Proficiency in numerical libraries such as NumPy and SciPy
- Experience with machine learning techniques and frameworks including Scikit-learn, TensorFlow, PyTorch, or JAX
- Experience in the dissemination and management of software packages
Job Description:
The Postdoctoral Fellow will:
- Develop computational methods for modeling the atomic structure of large macromolecular complexes using tools like AlphaFold, RoseTTAfold, and OpenFold, coupled with own innovative AI-based algorithms.
- Integrate experimental data from in-cell cryo-ET tomography and crosslinking mass spectrometry.
- Investigate and implement methods combining statistical techniques such as Bayesian inference and Monte Carlo sampling with non-linear optimization approaches and advanced deep learning (e.g., geometric deep learning and reinforcement learning).
- Contribute to open-source codebases such as OpenFold, AlphaPulldown, and Assembline.
- Disseminate code in well-organized, documented, and rigorously tested software packages.
- Use new methods for research projects within the TransFORM consortium.
You will be affiliated with the Jan Kosinski group at EMBL Hamburg, and you will also spend at least a year with the Fabian Theis group at Helmholtz Münich.
How to Apply:
Interested candidates should apply through EMBL Careers Page referencing HH00227. Detailed instructions and required application materials are available on the site.
Last Date for Apply:
19 August 2024
Join the EMBL Hamburg and Helmholtz Münich teams – leaders in computational biology and AI applications. Contribute to groundbreaking research with significant real-world applications in structural biology and develop your career in an inclusive, innovative, and collaborative international research environment.
