Spectroscopy Data Scientist Intern

General Description: 

Perform cutting edge research and development focused on automatic data processing for failure analysis of next generation quantum electronic semiconductor devices. This role will work closely with technical staff to develop Python script for automatic curve fitting of energy dispersive spectroscopy and electron energy loss spectroscopy transmission electron microscopy data. While prior knowledge and/or experience of electron microscopy and Python is encouraged, we’re also eager to support your learning journey in areas where you may be less experienced. 

Essential Duties:

Develop automatic curve fitting of energy dispersive spectroscopy

Develop automatic curve fitting of electron energy loss spectroscopy

Communicate results and troubleshooting efforts with technical staff

Collaborate with technical staff for data analysis

Required Skills: 

Prior experience or coursework on curve fitting (e.g. x-ray diffraction Rietveld/Pawley/Le Bail refinements, energy dispersive spectroscopy data analysis, electron energy loss spectroscopy data analysis)

Proficiency in Python or strong desire to learn Python with experience in troubleshooting

Excellent communication and organization skills

Required Education: 

Minimum 2 years completed of a Math, Science, Engineering, or related undergraduate program. Coursework or equivalent Experience of data or image processing and analysis using Python. Knowledge of transmission electron microscopy spectroscopy Techniques such as energy dispersive spectroscopy and electron energy loss spectroscopy is desired. 

Special Requirements:

U.S. citizenship or permanent resident status required

Compensation:

The pay range for this position is $30 – $35 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific range during the hiring process.