Research Fellow in AI/ML for Autonomous Laboratory Systems

1 week ago


Oak Park, Illinois, United States Oak Ridge National Laboratory Full time
Position Overview:

We are seeking a Postdoctoral Scientist with expertise in the development and application of machine learning techniques for autonomous laboratory environments. This role is part of the Data NanoAnalytics (DNA) team within the Theory and Computation division at Oak Ridge National Laboratory (ORNL).

Primary Responsibilities:

  • Design and execute machine learning algorithms to enhance and innovate autonomous experimental processes.
  • Document and share developed software with collaborating institutions to promote teamwork and knowledge exchange.
  • Embrace and support ORNL's commitment to diversity and inclusion within the workplace.

Qualifications:

  • PhD in Physics, Chemistry, Biology, Computer Science, or a related discipline.
  • A minimum of 3 years of experience applying machine learning methodologies in scientific research.
  • Strong proficiency in Python programming with demonstrable contributions to code repositories.

Desirable Skills:

  • Familiarity with database management and computational workflows.
  • Previous experience in autonomous experimental setups.
  • Excellent communication abilities and a proactive work ethic.
  • Capability to work both independently and collaboratively.

Candidates should have obtained their Ph.D. within the last five years and must fulfill all degree requirements prior to commencing the position. The initial appointment is for a duration of up to 24 months, with the possibility of extension based on performance and funding.

Compensation and Benefits:

ORNL provides a competitive benefits package, including health and retirement plans, flexible working hours, fitness facilities, and additional resources to promote a balanced work-life experience.

Additional benefits include comprehensive insurance options, retirement plans, generous leave policies, wellness initiatives, educational assistance, and various employee discounts.

This position will remain open for applications until a suitable candidate is identified.

ORNL is dedicated to ensuring equal opportunities for all applicants, including individuals with disabilities and veterans.



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