Post Doctorate RA - Materials Data Scientist
The atom probe tomography (APT) group is seeking a post-doctoral candidate with a PhD in Materials Science, Chemical Engineering, Applied Mathematics, Statistics, Computer Science or related discipline to contribute to research and development of artificial intelligence and machine learning applications for automated structure defect and/or phase determination in a wide variety of materials systems spanning structural, energy, and biological materials. Candidates with experience in other aspects of data-driven materials science will also be considered. The position will be focused on supporting and directing ongoing efforts in the development of modern data science techniques applied to atom probe tomography 3-D point cloud composition distributions designed to reduce the time required to connect structure/properties relationships and/or treatments for enhanced performance.
Staff at PNNL employ diverse methods to confront significant problems of national interest. The successful candidate will have a strong work ethic with a mindset for continuous improvement. The abilities to multitask and to work both independently and as part of a team are essential. A demonstrated ability to analyze data and publish results is required.
Qualifications, Skills, and/or Training Necessary for Position:
- Matlab, Python, R
- Deep learning
- Ordinary Differential Equations and surrogate modeling
- Atom Probe Tomography data analysis and modeling
- Super resolution and defect detection for atomic scale data
- Bayesian modeling
- Unsupervised learning
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
A Ph.D. in Materials Scientist, Chemical Engineering, Applied Mathematics, Statistics, Computer Science or related discipline. A Cumulative GPA of 3.00 or higher is preferred.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.