Post-Doctoral Fellow, Department of Chemical and Biological Engineering

Engineering a world of possibilities

Post Doctoral FellowTHE OPPORTUNITYA postdoctoral scholar position is available in Professor Alexander Pak’s research group in the Chemical and Biological Engineering Department at the Colorado School of Mines. The postdoctoral scholar will contribute to a research program focused on (i) the development of data-driven (e.g., machine-learned) methods for coarse-graining of macromolecules and (ii) their application to energy transduction systems across biology.

Of specific interest are methods that capture faithful dynamics under equilibrium and nonequilibrium conditions.

The successful candidate will hold a Ph.D. in chemical engineering, chemistry, physics, materials science, biophysics, applied mathematics, computer science, or related field. The candidate must have experience with molecular simulation, statistical mechanics, or closely related computational methods, as well as strong programming and scientific computing skills. The candidate should demonstrate the ability to conduct independent computational research, analyze complex numerical or simulation data, and communicate research effectively through scientific publications and presentations.

Preferred qualifications include experience with molecular dynamics, coarse-grained or multiscale modeling, and machine learning or other data-driven methods. Familiarity with stochastic or nonequilibrium thermodynamics is particularly relevant. The successful candidate will have flexibility to develop new methodological and scientific directions within the broader goals of the project and will work in a collaborative, interdisciplinary environment with other members of the group and external collaborators.

RESPONSIBILITIES Develop computational methodologies to improve the accuracy, transferability, and dynamical fidelity of low-resolution coarse-grained models of biomolecular systems

Apply computational strategies to characterize and control biomolecular self-organization, including protein reorganization during energy transduction processes

Develop, implement, and maintain open-source code for coarse-grained modeling and simulation

Prepare manuscripts for publication in peer-reviewed journals

Present research findings at conferences and symposia

Contribute to the preparation of technical reports and other deliverables for funding agencies

Contribute to the preparation of research proposals

Mentor graduate and undergraduate researchers and contribute to a collaborative research environmentJOB DEMANDS AND WORKING CONDITIONS Must be able to relocate and work in-person in the laboratory QUALIFICATIONS

Minimum Qualifications:

Ph.D. in chemical engineering, chemistry, physics, materials science, biophysics, applied mathematics, computer science, or related field, with demonstrated experience with molecular simulation, statistical mechanics, or closely related computational methods, as well as strong programming and scientific computing skills.

Knowledge of molecular simulation, statistical mechanics, and computational molecular science

Knowledge of molecular dynamics and the principles underlying coarse-graining and/or multiscale modeling

Ability to develop, implement, and critically evaluate new computational methodologies

Strong scientific programming, numerical analysis, and data analysis skills

Ability to independently formulate research questions, troubleshoot computational problems, and interpret simulation results

Ability to critically evaluate scientific literature and integrate concepts from multiple disciplines

Strong written and oral communication skills

Ability to work effectively both independently and as part of a collaborative, interdisciplinary team

Minimum Qualifications:

Experience with coarse-grained…