Data Scientist [Post-Doc Research Fellow]

Buffalo Manufacturing Works, operated by EWI, is a one-of-kind center for advanced manufacturing focused on developing, maturing and implementing new technologies that have an impact on the clients we work with and the communities in which they live.  Located in Buffalo, New York, we are dedicated to building a nationally-recognized hub of manufacturing innovation and are looking for smart, passionate, entrepreneurial, inventive and driven people to help us achieve this goal.

We are searching for expertise, practical experience, and visionary thinking in manufacturing data science.  Our customers are based across the country and include world-class leaders in the aerospace, automotive, consumer products, electronics, medical, energy & chemical, government, and heavy manufacturing industries.

EWI’s Data science group acts as turbo charger for EWI’s innovation engine. We specialize in working cross-disciplinary with EWI’s cutting-edge manufacturing technology teams including additive manufacturing (3D printing), advanced stamping, robotics, ultrasonics, and lasers. Data science focuses include using in-line sensing to predict part quality, semi-analytical modeling, probabilistic modeling, and data modeling.

Work on projects such as these:

• Lithium Ion Battery Quality Control: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11591/115910I/Investigation-of-monitoring-methods-for-ultrasonic-metal-welding/10.1117/12.2583121.short
• Computed Tomography Algorithm Development: https://patentimages.storage.googleapis.com/5c/81/0c/9b7e0b34fbc450/US10969771.pdf
• Smart Forming: https://www.mdpi.com/2076-3417/11/20/9530
• Probabilistic Qualification: https://link.springer.com/article/10.1007/s11837-021-04770-3

We are currently looking to add a data scientist to our collaborative team of researchers.

ESSENTIAL FUNCTIONS:

• Collaborate with world-leading manufacturing process experts to understand manufacturing challenges in areas such as
  • Additive manufacturing (3D printing)
  • Advanced stamping
  • Robotics
  • Ultrasonics
  • Lasers
• Identify potential solutions that could bring clear value to manufacturers
• Instrument sensors and plan data acquisition
• Organize data so that it is findable, accessible, interoperable, and reusable
• Develop, apply, iterate, and test analytics
• Present results to stakeholders
• Establish thought leadership through conference presentations, peer reviewed publications, patents, and marketing pieces

KNOWLEDGE/SKILLS/ABILITIES:

The candidate must have all of the following general skills:

• Python and version control
• Experience with algorithms including big O time estimates
• Experience testing and applying a range of ML/AI approaches
• Ability to interface with manufacturing process experts
• Proficient in MS Office products (Word, Excel, PowerPoint, etc.)
• Ability to work well with ever-changing priorities and/or situations
• Exhibit and maintain positive, solutions-oriented attitude toward work and co-workers
• Excellent organizational skills and ability to work well under stress, despite numerous interruptions
• High degree of accuracy and attention to detail in assigned tasks on a consistent basis
• Outstanding interpersonal skills and ability to communicate effectively with all levels of associates
• Team-oriented attitude and focus with strong ability to collaborate with others

The candidate should have at least one of the following deep skills:

• Demonstrated expertise in data modeling including schema development and metadata curation. Experience with semantic web preferred.
• Demonstrated real-world applications of statistics including probability theory. Experience with Bayesian networks preferred.
• Demonstrated expertise in sensor interfacing, data logging, sensor interpretation, and controls. Additional experience in human interface development preferred.

PHYSICAL REQUIREMENTS:

• Laboratory/light production floor with ventilation, climate-control system, moderate lighting, and moderate noise level;
• Use finger dexterity to type, adjust, move, handle, perform, operate, install, attach, remove, apply, grasp, manipulate, and measure;
• Frequently move, transport, rotate, reach, pull, twist, adjust position, push, stoop, bend, and crouch; and
• Lift ten to 10 pounds on a frequent basis and 40 to 80 pounds occasionally

EDUCATION:

• B.S. in Computer Science, Statistics, Applied Mathematics, or similar discipline
• M.S. degree preferred

**US Citizenship is required for consideration**

EOE/M/F/Disability/Protected Veteran Status