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Western Digital the premiere producer of hard disk drives is seeking a data scientist with advanced Transmission Electron Microscopy (TEM) expertise to join a growing team of electron microscopists who support WDs research development and manufacturing efforts in magnetic recording. The primary purpose of our work is to support the development of the next generation of head and media technology in addition to nanoscale Failure Analysis (FA) and process/tool qualification for wafer and magnetic media manufacturing lines. The candidate will design and integrate autonomous control algorithms and develop interactive software applications for automating highend TEMs. The candidate will develop efficient data management and infrastructure tools to improve turnaround time. The candidate will work closely with other team members to plan experiments and develop software tools to meet advanced analysis requirements. This position is located in our worldclass Analytical Sciences Laboratory in San Jose California.
Qualifications :
MUST HAVE THE FOLLOWING IN ORDER TO BE CONSIDERED FOR THIS POSITION
1. Ph.D. in Materials Science Physics or other related engineering discipline with focus on TEM research is required.
2. 3 or more years of experience with automation of the stateoftheart Thermo Fisher Scientific (TEMs) is required.
candidate should be fluent in Python and have solid background in data science machine learning computer vision and statistical data analysis.
4. Handson experience with FIB lamella preparation and automation is a plus. The applicant must demonstrate superior oral and written communication skills.
5. Strong problemsolving skills and the desire to work in a team environment are essential.
Additional Information :
Western Digital is an Equal Opportunity and Affirmative Action Employer. We make employment decisions without regard to race color religion sex national origin veteran status disability status pregnancy or any other basis protected by federal state or local law. All your information will be kept confidential according to EEO guidelines.
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Compensation & Benefits Details
Remote Work :
No
Employment Type :
Fulltime
Full-time