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NRC Postdoctoral Research Fellowships in the ITL
The NIST/NRC Postdoctoral Associateship Program
NIST works with the National Research Council (NRC) to offer awards for postdoctoral research in the diverse fields of physical science in which NIST is actively involved. The program provides advanced training for highly qualified postdoctoral, while enhancing the research conducted in federal laboratories.
The NIST/NRC postdoctoral associateship program brings value to the federal research enterprise by inviting new ideas and skills and helping to build future generations of research leaders. For NIST positions, the NRC application process is very competitive and involves two application cycles with application deadlines of February 1 and August 1 of each year. The NRC evaluates all applications using a peer review process. Each application receives multiple reviews by scientists and engineers with expertise across the range of sponsored programs. Sponsor labs have input on the quality of applicants and the relevance to their programs. Successful applicants serve a two-year term, working directly with staff scientists
Additional information about the NIST/NRC program can be found here. Complete instructions on preparing an application for the NIST/NRC program can be found on the NRC Research Associate Program website. Those interested in applying should first identify a potential adviser from the list of opportunities below. It I important to contact the adviser before applying to ensure that the applicant’s proposed project is compatible with the adviser’s interests. The adviser can also provide advice on how the applicant’s interests intersect with NIST’s, which can help in writing an effective proposal.
NIST/NRC Postdoctoral Associateships are only open to US citizens.
Opportunities within the NIST Information Technology Laboratory:
Applied & Computational Mathematics Division
- Analysis and Theory of Microfluidic Systems
- Applied Optimization and Simulation
- Autonomous Control of Quantum Systems
- Combinatorial and Discrete Algorithms
- Complex Systems and Networks: Performance, Control, and Security
- Computational Methods for the Solution of the Time Dependent Schroedinger Equation
- Deep Learning Applied to Problems in Chemical Physics
- Immersive Visualization
- Mathematical Modeling and Simulation
- Mathematical Modeling of Magnetic Systems
- Modeling Complex Microstructures
- NRC Postdoctoral Research Position in Immersive Scientific Visualization
- Optical Quantum Metrology
- Orthogonal Polynomials, Special Functions, and Digital Repositories
- Parallel and Distributed Computing Algorithms and Environments
- Quantum and classical error correction
- Quantum communication
- Quantum Frequency Conversion for Hybrid Quantum Networks
- Quantum Information and Cryptography, and Machine Learning
- Quantum Network Testbeds
- Real-time Quantitative Visualization
- Scientific Datamining
- Standardizing of Measurements on Medical Images
- Stochastic Modeling, Verification, Validation, and Calibration of Computer Simulations
- Validated Computation of Special Functions: DLMF Standard Reference Tables on Demand
- Computational Electromagnetics
- Quantum Information Science
- Quantum Networking
- Statistics for Quantum Systems
- Uncertainty Quantification and Computational Materials Science
Computer Security Division
- Access Control (Authorization) Systems
- Autonomous Network Metrology and Analytics
- Cryptography Through the Lens of Quantum Information Science
- Lightweight Cryptography for Resource Constrained Applications
- Public Key Cryptography and Applications
Statistical Engineering Division
- Automated Functional Genomics: Active Learning of Promoter Architecture via Probabilistic Deep Networks
- Statistical Learning in Time Series and Images
- Statistical Methods for Extreme Values
- Using Point Processes to Study Occupant Egress from High Rise Buildings
- Indefinite causality in quantum parameter estimation
- Tailored Machine Learning Oracles to Guide Data Processing for Statistical Inference
Software and Systems Division
- Advancing Health Information Technology
- Computational Metrology for Neutron Interferometric Microscopy
- Computational Metrology for Systems Biology and Medicine
- Enabling Science from Big Microscopy Image Data
- Generating Ontologies from Domain Corpora using Artificial Intelligence Techniques
- Mathematical Foundations for System Interoperability
- Models and Protocols for Accelerated Simulations of Molecular Interactions and Dynamics
- Research in Cyber-Physical Systems
- Standards and Algorithms for Enhancing Quality in Medical Imaging
- Testing the Health Care Information Infrastructure
Contacts
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(301) 975-3812