Responsibilities

As a Post Doctorate RA in the Materials Sciences group, you will be focused on performing computational materials modeling as part of a multi-investigator effort aiming to reveal the atomic-scale origin of interactions and mechanisms of processes that determine synthesis pathways, properties, and behavior of functional materials. You will contribute to cutting-edge research programs focused on designing and synthesizing multi-component nanostructures for applications in quantum information technologies, microelectronics, and catalytic conversions to better understand the linkages between synthesis conditions and resulting structures and between composition, strain states, and charge-density distribution in these structures and their properties. You will also be involved in the development of computational methods for materials design with a particular emphasis on structure-property relationships.

• Performing computational modeling of the structure, thermodynamic properties, and electronic characteristics of multi-component materials in the context of their synthesis and post-processing histories.
• Analyzing the effect of defects, disorder, and interfacial constraints on the synthesis pathways and the properties of materials.
• Developing testable mechanistic models of materials synthesis, behavior, and transformations in the context of conditions defined by their applications. Validating these models against experimental data.
• Contributing to the development of computational methodologies.
• Collaborating and solving technical problems with a multidisciplinary team.
• Supporting technical leadership with organized results for progress reports and lead manuscript writing.
• Presenting research at project meetings and conferences.
• Participating in training undergraduate and post-graduate student interns.

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.

Preferred Qualifications:

• Ph.D. in Condensed Matter Physics, Materials Science, Chemistry, or a related field.
• Hands-on expertise in ab initio modeling and molecular dynamics simulations and familiarity with a range of computational methodologies and codes demonstrated through publications.
• Proficiency in scientific coding.
• Solid grasp of the principles of statistical mechanics.
• Familiarity with atomistic foundational models and machine learning workflows for materials design.
• Excellent written and oral communication skills, demonstrated through publications and presentations.
• Ability to work independently with minimal supervision and collaboratively in a multidisciplinary team.

Hazardous Working Conditions/Environment

Not Applicable

Testing Designated Position

This is not a Testing Designated Position (TDP).

Rockstar Rewards

Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

* Research Associates excluded.

**All benefits are dependent upon eligibility.

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Notice to Applicants

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $69,000.00/Yr.
Maximum Salary

USD $119,100.00/Yr.