Postdoctoral Research Associate in Data Science for - Knoxville, United States - Oak Ridge National Laboratory

Mark Lane

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Mark Lane

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Description
Requisition Id 12691


Overview:


Purpose:


In this digital environment, you will use these data to gain a greater understanding of our systems and develop the data analytics algorithms or artificial intelligence techniques to process these data.

You will be actively engaged in the research and development of software and hardware techniques to explore three areas of interest:
(1) real time quality control of manufacturing processes; (2) understanding correlations between manufacturing intent, machine behavior, and part quality; and (3) optimization of manufacturing processes targeting higher throughput and part quality. You will have access to ample resources to be successful in this position, and therefore you are expected to publish new research in professional journals and to present your results to the scientific community at various conferences. With over 100 systems at the MDF, you will have the possibility to work on very different projects and multiple opportunities to explore multiple facets of data science, and to grow your skillsets and career while having a measurable impact in the success of the MDF.


Major Duties/Responsibilities:


  • Development of detection and measurement solutions for manufacturing systems
  • Development of software and algorithms to collect, visualize, and analyze data
  • Development of imaging and sensing systems for data collection
  • Support the implementation of various algorithms for computation at the edge
  • Design experiments for parameter space exploration
  • Publish research in peer reviewed journals and conferences
  • Mentor students
  • Support R&D staff members on their projects
  • General support of research and development needs within the MDF

Basic Qualifications:


  • Ph.
D. in electrical engineering, computer engineering, computer science, mechanical engineering, or closely related field

  • Experience in designing and building algorithms for 2D and 3D image understanding
  • Demonstrated experience conceiving and executing research and development projects
  • Substantial programming skills using modern C/C++ or Python
  • Experience with machine learning and deep learning libraries
  • Experience building AI models in platforms such as TensorFlow, Keras, or PyTorch
  • The ability to work in a very dynamic team environment is required
  • Excellent verbal and written communication skills

Preferred Qualifications:


  • Excellent written and oral communication skills.
  • Motivated selfstarter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fastpaced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:


  • Login to your account via
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  • Under the My Documents section, select Add a Document
This is a temporary assignment of
24 months with potential for extension.


Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people.

The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy.

Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include the following:

Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

LI-DNP

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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