Postdoctoral Scholar: Lipid Membrane Biophysics & Simulations

University at Buffalo; Buffalo (NY); On-site; USD 51,000 - 63,000; Full time

Job summary

University at Buffalo is seeking a Postdoctoral Associate in Chemical & Biological Engineering to join the Monje Group. The role focuses on computational research at the intersection of physics, biology, and computation, studying lipids in biomolecular mechanisms and material properties.

The successful candidate will develop and apply advanced simulation methods and data-driven approaches, collaborating with experimentalists and computational researchers to advance structural biology and lipid

Qualifications

• PhD in Chemical Engineering, Chemistry, Physics, Biophysics, or a related discipline with biomolecular simulation experience and programming/scripting (Bash, Python).
• Experience in molecular modelling, biophysics or materials design (all-atom or coarse-grained).
• Experience with enhanced sampling techniques; computational biophysics/chemistry.
• Usage of HPC clusters, preferably GPU-based computing.
• Proficiency in statistical analysis and hypothesis testing.
• Strong publication record.

Responsibilities

• Develop and apply advanced simulation techniques to study lipid-protein systems.
• Apply data-driven approaches to explore biophysical phenomena at cell membranes.
• Collaborate with experimental and computational researchers on high-impact projects.

Skills

Biomolecular simulation

Programming/scripting (bash, Python)

Education

PhD in Chemical Engineering, Chemistry, Physics, Biophysics, or related

Tools

High-performance computing clusters

GPU-based computing

Job description

University at Buffalo is seeking a Postdoctoral Associate in Chemical & Biological Engineering to join the Monje Group. The role focuses on computational research at the intersection of physics, biology, and computation, studying lipids in biomolecular mechanisms and material properties.

The successful candidate will develop and apply advanced simulation methods and data-driven approaches, collaborating with experimentalists and computational researchers to advance structural biology and lipid