Postdoctoral Fellow, Machine Learning Force Fields
Schrödinger(5 days ago)
About this role
A Postdoctoral Fellow in Machine Learning will join the Materials Science team to develop advanced computational methods aimed at improving human health and quality of life. The role focuses on creating and applying state-of-the-art ML force fields for impactful materials science applications.
Required Skills
- Machine Learning
- Python
- Scikit-Learn
- NumPy
- SciPy
- Pandas
- PyTorch
- DFT
- Electronic Structure
- Data Management
+4 more
Qualifications
- PhD in Chemistry, Materials Science, Engineering, Computer Science, or Physics
About Schrödinger
schrodinger.comSchrödinger is a scientific leader that provides a physics‑based software platform for molecular discovery and design, delivering advanced molecular simulation, modeling, and predictive tools. Its solutions are used by pharmaceutical, biotechnology, and materials companies to accelerate drug discovery, materials innovation, and related R&D workflows. Schrödinger combines rigorous physics‑based methods with cheminformatics and data‑driven techniques, and supports customers with software, services, and partnerships to translate computational insights into experimental progress.
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