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Postdoctoral Fellow in Materials Characterization using Machine Learning

Job Description


About SUNY Polytechnic Institute:

Employment is with the Research Foundation for The State University of New York Polytechnic Institute (SUNY Poly)

The Research Foundation for The State University of New York (SUNY) is the largest, most comprehensive university-connected research foundation in the country. The Research Foundation manages SUNY's research portfolio, providing essential sponsored programs administration and innovation support services to SUNY faculty, students and staff performing research in areas including life sciences and medicine; engineering and nanotechnology; physical sciences and energy; social sciences; arts and humanities; and computer and information sciences.

The Research Foundation, a private, not-for-profit corporation, is an employer separate from both SUNY and the State of New York, and offers comparable compensation and benefit plans. The Research Foundation is dedicated to the goal of building a diverse and inclusive teaching, research, and working environment. Potential applicants who share this goal, especially underrepresented minorities, women, persons with disabilities, and veterans are strongly encouraged to apply.


Job Description:

Job responsibilities include, but are not limited to: 

The post-doctoral fellow will program machine learning software to analyze data from materials characterization methods such as transmission electron microscopy, electron diffraction from transmission electron microscopy or electron backscattering, X-Ray diffraction, X-ray photoelectron spectroscopy, and optical methods such as scatterometry.  The post-doctoral fellow should be familiar with how to program software such as ResNet50 and Xception for machine learning applications.  The post-doctoral fellow with experience in materials characterization or scatterometry is highly desired.  The data from these methods will be obtained and simulated for samples provided by TEL Technology Center USA.  The post-doctoral fellow will work closely the scientists and engineers at TEL Technology Center USA.  Teaming skills are essential.

Other reasonable duties as assigned.

Salary Range:  $52,000.00-$55,000.00


Requirements:

The candidate must have a PhD in Physics, Materials Science, Chemistry, or Computer Engineering and must have considerable experience programing machine learning software.  The post-doctoral fellow should be familiar with how to program software such as ResNet50 and Xception or the equivalent for machine learning applications.  The candidate must be able to write proficiently had have a record of publishing in peer reviewed journals on machine learning topics.

The degree should come from a college or university accredited by the US Department of Education or internationally recognized accrediting organization.

Candidates must address in their applications their ability to work with culturally diverse populations.  This position is contingent on the satisfactory completion of a background check; this position may require annual background checks.

PREFERRED QUALIFICATIONS

The candidate should have proved experience programing machine learning software to analyze data from materials characterization methods such as one or more of the following: transmission electron microscopy, electron diffraction from transmission electron microscopy or electron backscattering, X-Ray diffraction, X-ray photoelectron spectroscopy, and optical methods such as scatterometry. 


Additional Information:

Research Foundation for SUNY Polytechnic Institute offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, tuition assistance, life insurance and long-term disability insurance.

As an Equal Opportunity / Affirmative Action employer, Research Foundation for SUNY at SUNY Polytechnic Institute will not discriminate in its employment practices due to an applicant's race, creed, religion, color, citizenship, national origin, sex, age, sexual orientation, predisposing genetic characteristics, gender identification or expression, genetic information, familial status, marital status, pregnancy, status as a domestic violence victim, criminal conviction, disability, military status, disabled veteran, recently separated veteran, Armed Forces Service Medal veteran, active duty or wartime campaign badge veteran, or other characteristic as protected by law. Please feel free to review your equal employment opportunities protections and laws pertaining to these protections at http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, without exception, prepare, publish and distribute an Annual Security Report. This report consists of two basic parts: disclosure of the College's crime statistics for the past three years; and disclosures regarding the College's current campus security policies. The SUNY Polytechnic Institute Annual Security Report is available in portable document format [PDF] by clicking this link:

https://sunypoly.edu/sites/default/files/University Police/Final-Clery-Report-Utica-2021.pdf

https://sunypoly.edu/sites/default/files/University Police/Final-Clery-Report-Albany-2021.pdf

Inquiries regarding the application of Title IX and other laws, regulations and policies prohibiting discrimination may be directed to the Title IX Coordinator TitleIX@sunypoly.edu at SUNY Polytechnic Institute. Inquiries may also be directed to the United States Department of Education's Office for Civil Rights, 32 Old Slip 26th Floor, New York, NY 10005-2500; Tel. (646) 428-3800; Email OCR.NewYork@ed.gov .

Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation.  If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at (518) 474-6988 or via email at info@goer.ny.gov .

Research Foundation employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation at the time of hire for review by the Research Foundation. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486-1-border/@@images/file

NOTE: Some positions may require access to export-controlled commodities, technical data, technology, and software. U.S. Government authorization may be required. For positions requiring such access, offers of employment are contingent upon the employer being able to obtain the necessary authorization, including, if required, an export license from the U.S. Department of Commerce's Bureau of Industry and Security, the U.S. Department of State's Directorate of Defense Trade Controls, or other government agencies. The decision to pursue an export license application is at The Research Foundation for SUNY's sole discretion and may require proof of status prior to employment in connection with such authorization.


Application Instructions:

Persons interested in the above position should submit a cover letter, resume, three letters of reference, letter of application, along with The Research Foundation for SUNY employment application.  In compliance with the Americans with Disabilities Act (ADA), if you have a disability and require a reasonable accommodation to apply for a position please email us at rfhr@sunypoly.edu or call 518-437-8686.  


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