Location: Upton, NY
Cap-Exempt H-1B Position — No lottery required
**Position Description** The Nuclear Science and Security Department has an opening for a Post Doc to assist with the development of AI/ML algorithms for remote sensing of uranium containing materials. These activities will be based on existing and new, high-quality laboratory spectral data that will be acquired as part of a multi-institutional and multi-disciplinary effort. The position will require close collaboration with the partner institutions. **Essential Duties and Responsibilities:** - Maintain spectral data base and upload data to community spectral data bases - Assist in and help coordinate experimental work to collect laboratory spectral data - Assist in the development of AI/ML algorithms for remote sensing applications **Required Knowledge, Skills, and Abilities:** - Ph.D. in Planetary Science, Earth Science, or Physical Geography - Experience in experimental method to develop data to support interpretation of remote sensing data - Excellent written and oral communication skills - Experience with Generative Adversarial Networks (GAN) frameworks or Multi-Modal Large Language models (MLLMs) - Ability to work collaboratively in a team-based research environment - Demonstrated track record of publication of research in high quality peer-reviewed journals and presentations - Ability to obtain and maintain a DOE Q clearance **Preferred Knowledge, Skills, and Abilities:** - Experience in Remote Sensing application to earth or planetary science problems - Experience with ENVI/IDL image processing analysis software - Experience with coding languages, such as python. - Experience with spectroscopy of minerals or related materials **Environmental, Health & Safety Requirements:** - Computer work - Lifting of 30 pounds - Arm/hand dexterity **Other Information:** - Participation in meetings and experimental work at Stony Brook University is expected. - Initial appointment will be for a one - year term. Renewal contingent on performance and funding. - Candidates must