About The Position

This is an opportunity for a knowledgeable and creative individual to be part of a team developing advanced humanoid and dexterous robotic capabilities for scientific use-cases. Recent progress has solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory.

Requirements

  • Recently completed PhD within the last 0-5 years in computer science, mechanical engineering, artificial intelligence, or related engineering disciplines
  • Experience with state of the art AI methods for robotics
  • Experience with robotics research strongly preferred
  • Experience in deep learning including data collection, architecture development, model training, and validation
  • Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
  • Scientific productivity, as demonstrated by publications and conference presentations
  • Effective oral and written communication skills
  • Ability to model Argonne's core values of impact, safety, integrity, respect and teamwork.

Responsibilities

  • Development of AI models for robotic control
  • Demonstration of these methods via simulation and experiment

Benefits

  • comprehensive benefits are part of the total rewards package
  • Click here to view Argonne employee benefits!

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service