Postdoc: Quantum Tunneling Theory & Computation

The Computational Chemistry List; Amherst, Northern (MA, KY); Hybrid; USD 63,000 - 71,000; Full time

Job summary

The Auerbach Group at UMass Amherst is seeking a Postdoctoral Fellow to explore quantum tunneling phenomena in chemical reactions within complex systems. You will develop and refine semiclassical and grid-based computational methods, integrating theory with experimental data and striving for high-impact publications.

The role offers autonomy to select research areas, opportunities to mentor students, and collaboration across CNS with the potential for hybrid work arrangements and career

Qualifications

• PhD in Chemistry, Physics, Chemical Engineering, or closely related field.
• Strong fundamental background in theoretical chemistry or physics.
• Experience with computational chemistry methods and/or quantum mechanics calculations.
• Experience with programming languages relevant to computational chemistry.
• Demonstrated ability to conduct independent research and publish results.
• Excellent communication and collaborative skills.

Responsibilities

• Creating fundamental representations of quantum tunneling in chemical reactions.
• Developing and refining theoretical models (e.g., semiclassical) and computational methods (e.g., grid based approaches).
• Integrating quantum mechanical insights with experimental data.
• Designing studies of tunneling in materials science, catalysis, and other relevant fields of interest to the postdoc.
• Drafting manuscripts for publication.

Skills

Theoretical chemistry

Quantum mechanics

Computational chemistry

Programming

Research publication

Communication

Education

PhD in Chemistry, Physics, Chemical Engineering or closely related field

Tools

Grid-based methods

Semiclassical models

Molecular dynamics

Job description

The Auerbach Group at UMass Amherst is seeking a Postdoctoral Fellow to explore quantum tunneling phenomena in chemical reactions within complex systems. You will develop and refine semiclassical and grid-based computational methods, integrating theory with experimental data and striving for high-impact publications.

The role offers autonomy to select research areas, opportunities to mentor students, and collaboration across CNS with the potential for hybrid work arrangements and career