The Physical Biosciences team within the Catalysis Science Group at Pacific Northwest National Lab (PNNL) is looking for a Postdoctoral associate to join a multi-investigator team that explores the functional principles at the core of precise energy, mass and charge flow, and reactivity in enzymes. 

As part of the team you will be mentored by Simone Raugei and Bojana Ginovska, as you develop a line of computational research, working to understand the mechanism of important enzymes that catalyze activation of energy relevant molecules to empower the design of highly selective, efficient, and sustainable bio-inspired catalysts. 

What you will do:

• Conduct independent research and work on team assignments
• Lead manuscript development and maintain a strong overall publication record in the peer-reviewed scientific literature
• Interact, communicate, and problem solve with a diverse team of research staff within the Physical Biosciences group, PSD and across PNNL and numerous academic collaborators
• Present research at technical conferences and project/program review meetings
• Participate in the development of research proposals

Qualifications:

Minimum Qualifications:

• Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
• Ph.D. in Chemistry, Physical Chemistry, Physics, Biophysics, Biochemistry or related fields
• Training and aptitude in computational chemistry/physics/biophysics methods

Preferred Qualifications (not all need to be met):

• Strong verbal and written communications skills
• Knowledge of computational chemistry methodologies, such as ab initio electronic structure approaches and/or molecular dynamics.
• Experience with molecular dynamics simulation packages (Gromacs, NAMD, etc.), condensed phase density functional theory codes (CPMD, Quantum espresso, CP2K, VASP, etc.) and/or quantum chemical software (Gaussian, NWChem, Games, etc.).
• Programming skills (Fortran, C, C++, Python) and experience with modern high-performance computation platforms are desirable.

Candidates can apply at:

https://careers.pnnl.gov/psc/hrmsx/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?FOCUS=Applicant

Job ID: 309726

For more information contact Bojana Ginovska at [email protected]