Computational Environmental Scientist

Argonne National Laboratory

Lemont, USA

Job posting number: #7206830 (Ref:417092)

Posted: January 13, 2024

Job Description

Argonne National Laboratory is seeking a Computational Scientist with a background in atmospheric science and remote sensing. The key research to be carried out will be in the application of AI at the edge to atmospheric instrumentation and camera systems. This involves but is not limited to adaptive operations of instrumentation, the use of computer vision to identify environmental phenomena and the use of machine learning for anomaly detection in time series data.


In this role, you will work on a number of Department of Energy (DOE) projects including the Atmospheric Radiation Measurement Facility and the Community Research on Urban Science project. The position will involve publishing papers and contributing to open science projects (eg code on GitHub).

Position Requirements

Required skills and qualifications:

  • Knowledge and experience in the analysis of complex datasets in the Python programming language
  • A record of research using AI tools on real datasets
  • Experience in edge computing
  • Strong skills in collaborative coding. eg git/github
  • Knowledge of containerization (eg Docker)
  • Experience using open source tools such as tensor flow, keras, py-torch etc.
  • Ability to work in a highly collaborative environment as part of a large team
  • Effective communication skills, established publication record in journals of high repute.
  • Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
  • RD2: Bachelors degree and 5+ years of experience, or a Masters degree and 3+ years of experience, or a PhD and 0+ years of experience, or equivalent

Preferred skill:

  • Background in active remote sensing of the atmosphere (eg radar and/or lidar)

Job Family

Research Development (RD)

Job Profile

Computational Science 2

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.  

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.  Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements.  Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


Apply Now

Please mention to the employer that you saw this ad on Sciencejobs.org

More Info