24.10.01 Postdoctoral position, molecular modeling/computational biophysics, Atlanta GA, USA

Computational Chemistry List, Ltd. (CCL); Atlanta (GA); On-site; USD 55,000 - 95,000; Full time

Job summary

An exciting postdoctoral opportunity awaits in the vibrant city of Atlanta, focusing on molecular modeling and computational biophysics. This position offers the chance to work on groundbreaking research involving protein complexes and their dynamics through large-scale molecular dynamics simulations. Collaborate with leading experimental groups and utilize significant supercomputing resources to push the boundaries of scientific knowledge. Ideal candidates will possess a Ph.D. and a strong background in molecular modeling techniques, along with coding experience in Python or C/C++. Join a multicultural environment and contribute to innovative research that could shape the future of biophysics and structural biology.

Qualifications

• Ph.D. required in computational chemistry, biophysics, or related fields.
• Strong background in molecular modeling and simulations is essential.

Responsibilities

• Build structural models of protein complexes and investigate their dynamics.
• Apply advanced modeling techniques using experimental data.

Skills

Molecular modeling

Molecular dynamics simulations

Data analysis

Python

C/C++

Analytical skills

Communication skills

Machine learning methods

Education

Ph.D. in computational chemistry

Ph.D. in biophysics

Ph.D. in computational biology

Tools

NAMD

AMBER

Rosetta

PyEmma

UCSF Chimera

Job description

Postdoctoral Position in Molecular Modeling/Computational Biophysics

Location: Atlanta, GA, USA

A postdoctoral position is available in the Chemistry Department at Georgia State University in Atlanta, GA. The position will focus on building structural models of protein complexes involved in gene expression and investigating their dynamics by large-scale molecular dynamics simulations.

The work involves application of advanced modeling techniques to incorporate experimental data, specifically from cryo-electron microscopy, into models of biological assemblies. Candidates will have the opportunity to learn state-of-the-art molecular modeling methods and collaborate with leading experimental groups. Significant supercomputing resources will be made available.

The position is supported by federal funding from the National Institutes of Health and the National Science Foundation.

Required Qualifications:

1. Ph.D. in computational chemistry, biophysics, computational biology, or a related discipline
2. A strong background (and publication record) in molecular modeling, molecular dynamics simulations, and data analysis
3. Coding and scripting experience (e.g. Python or C/C++)

Desired Qualifications:

1. Familiarity with molecular modeling and visualization packages (e.g., NAMD, AMBER, Rosetta, PyEmma, UCSF Chimera)
2. Good analytical and communication skills
3. Machine learning methods, preferably in a field related to biophysics or structural biology
4. Ability to work independently

To be considered, please send a cover letter with a summary of research experience and a CV with a full list of publications together with names and contact details of three references to Prof. Ivaylo Ivanov (iivanov|a|gsu.edu). After initial screening of applications, letters of reference will be requested on behalf of competitive candidates.

Initial appointment is for one year, renewable upon mutual agreement. Georgia State University is in Atlanta - a multicultural city and one of the major metropolitan areas in the USA.

Contact:

Prof. Ivaylo Ivanov
Department of Chemistry, Georgia State University
ivanov-group.org
Email: iivanov|a|gsu.edu