Postdoctoral Research Associate AI for Science
Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy national laboratory conducting multidisciplinary research in computing, AI, energy, materials, nuclear science, neutron science, isotopes, and national security.
Funding history
Investors
About Oak Ridge National Laboratory
ORNL is a government-owned, contractor-operated U.S. Department of Energy research laboratory in Oak Ridge, Tennessee. UT-Battelle operates ORNL for DOE; the laboratory currently provides AI and high-performance-computing capabilities alongside science and engineering research infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop, implement, and evaluate AI and machine-learning methods for scientific discovery. You will design workflows integrating simulation, experimental data, domain knowledge, and high-performance computing, and incorporate scientific constraints, models, knowledge graphs, ontologies, and expert feedback into machine-learning systems.
Requirements
- PhD in Computer Science, Applied Mathematics, Computational Science, or a related discipline
- Hands-on experience developing and applying high-performance computing algorithms to scientific and machine-learning models
- Research experience with AI and machine-learning techniques
- Complete all degree requirements before starting the appointment
- Have received a PhD no more than five years before the application date
- Obtain and maintain a federal Personal Identity Verification card or favorable Local Site Specific Only risk determination
- Pass a Federal Tier 1 background check investigation
- Submit three letters of reference
Responsibilities
- Develop AI, machine-learning, and knowledge-guided learning algorithms for scientific discovery and DOE applications
- Design scientific AI workflows integrating simulation, experimental data, domain knowledge, and high-performance computing
- Develop methods that incorporate scientific constraints, conservation laws, mechanistic models, knowledge graphs, ontologies, and expert knowledge into machine-learning systems
- Investigate scientific foundation models, surrogate models, and digital twins
Benefits
- Medical plans
- Retirement plans
- Flexible work hours
- On-site fitness facilities
- Banking facilities
- Cafeteria facilities
- Prescription drug plan
- Dental plan
- Vision plan
- 401(k) retirement plan
- Contributory pension plan
- Life insurance
- Disability benefits
- Vacation and holidays
- Parental leave
- Legal insurance with identity theft protection
- Employee assistance plan
- Flexible spending accounts
- Health savings accounts
- Wellness programs
- Relocation assistance
- Employee discounts