Core4ce LLC
Optical Research Physicist/Materials Engineer/Software Engineer Beavercreek, OH
Core4ce LLC, Beavercreek, Ohio, United States,
The Accelerated Metamaterials Exploration and Design group at the Air Force Research Laboratories (AFRL) at Wright-Patterson Air Force Base (WPAFB) in Dayton, OH is looking for a qualified
research-grade postdoctoral
candidate with experience in the areas of
optics and photonics
to join a vibrant and active research effort relating to the
computational simulation and inverse design and optimization of optical metamaterials and metasurfaces .
Working at AFRL is a unique opportunity to solve important, long-term challenges that guide research efforts in an environment that strongly encourages collaboration (government/academic/industry), publication in top journals, and conference attendance, as well as opportunities to collaborate with internal and external teammates, customers, and partners to create objectives and work plans, review designs, support experimentation, and/or transition technical designs.
Responsibilities
Develop and apply advanced artificial intelligence and machine learning (AI/ML) techniques and computational electromagnetics simulations to accelerate the design of novel nanostructured optical metamaterials.
Utilize a range of both open source and closed source software on multiple operating systems and computing platforms, including local workstations, high-performance computing centers, and cloud computing resources.
Evaluate new and existing software resources for applicability to research areas of interest.
Aid in the documentation and publication of internally developed software resources.
Requirements
PhD: Physics, Optics, Materials Science & Engineering, or a closely related science or engineering field
Experience in computational materials simulation: the ideal candidate will have experience with photonics, optics, and/or computational electromagnetics modeling and simulation
Experience developing AI/ML models with software packages such as scikit-learn, Tensorflow, PyTorch, Theano, and/or Keras
Experience developing of cross-platform, open-source scientific software including the usage of distributed version controls systems, specifically git
Proficiency in Python; desired experience with scientific python packages including NumPy, SciPy, Matplotib, scikit, and pandas
Familiarity with Linux/Unix operating systems (e.g. Ubuntu, Red Hat) including the use of a terminal environment and bash scripting
Ability and desire to quickly learn new techniques, devise research plans, and develop expertise in technical topics related to photonics, optics, computational electromagentics, and AI/ML
Proficiency in advanced data analysis and visualization
Clearance Required:
Applicants selected will be subject to a security investigation and will need to meet eligibility requirements for access to a classified environment and information
Must be able to work in a lab environment
Must be able to lift or carry up to 25 pounds
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.
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research-grade postdoctoral
candidate with experience in the areas of
optics and photonics
to join a vibrant and active research effort relating to the
computational simulation and inverse design and optimization of optical metamaterials and metasurfaces .
Working at AFRL is a unique opportunity to solve important, long-term challenges that guide research efforts in an environment that strongly encourages collaboration (government/academic/industry), publication in top journals, and conference attendance, as well as opportunities to collaborate with internal and external teammates, customers, and partners to create objectives and work plans, review designs, support experimentation, and/or transition technical designs.
Responsibilities
Develop and apply advanced artificial intelligence and machine learning (AI/ML) techniques and computational electromagnetics simulations to accelerate the design of novel nanostructured optical metamaterials.
Utilize a range of both open source and closed source software on multiple operating systems and computing platforms, including local workstations, high-performance computing centers, and cloud computing resources.
Evaluate new and existing software resources for applicability to research areas of interest.
Aid in the documentation and publication of internally developed software resources.
Requirements
PhD: Physics, Optics, Materials Science & Engineering, or a closely related science or engineering field
Experience in computational materials simulation: the ideal candidate will have experience with photonics, optics, and/or computational electromagnetics modeling and simulation
Experience developing AI/ML models with software packages such as scikit-learn, Tensorflow, PyTorch, Theano, and/or Keras
Experience developing of cross-platform, open-source scientific software including the usage of distributed version controls systems, specifically git
Proficiency in Python; desired experience with scientific python packages including NumPy, SciPy, Matplotib, scikit, and pandas
Familiarity with Linux/Unix operating systems (e.g. Ubuntu, Red Hat) including the use of a terminal environment and bash scripting
Ability and desire to quickly learn new techniques, devise research plans, and develop expertise in technical topics related to photonics, optics, computational electromagentics, and AI/ML
Proficiency in advanced data analysis and visualization
Clearance Required:
Applicants selected will be subject to a security investigation and will need to meet eligibility requirements for access to a classified environment and information
Must be able to work in a lab environment
Must be able to lift or carry up to 25 pounds
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.
#J-18808-Ljbffr