Postdoctoral Scholar in Machine Learning, University of Colorado, USA

Postdoctoral Scholar in Machine Learning: The Computer Science Department and the Environmental Data Science Innovation and Inclusion Lab (ESIIL) within CIRES at the University of Colorado Boulder are seeking applications for a Postdoctoral Research Scholar in Machine Learning (ML) and/or Artificial Intelligence (AI) with a focus on Environmental Data Science (EDS). This interdisciplinary fellowship aims to strengthen the connection between core research in ML/AI and EDS.

Postdoctoral Research Scholar in Machine Learning for Environmental Data Science

Designation: Postdoctoral Research Scholar

Research Area: Machine Learning for Environmental Data Science

Location: Boulder, Colorado

Eligibility/Qualification:

• Ph.D. in computer science, or data science field (including but not limited to Computer Science, Data Science, Computer Engineering, Information Science, Math, Economics).
• Knowledge of python programming language and machine learning packages (e.g., Python, PyTorch).
• Commitment to Open Science and Open Education.
• Effective project management skills.
• Collaborative spirit and comfort working in scientifically and culturally diverse and inclusive teams.

Job Description:

• Develop and implement a research project that advances machine learning methods, analysis, and/or tools for environmental data science.
• Work collaboratively with members of the Computer Science Department and the ESIIL network, fostering bridges between these communities.
• Contribute to the open, reproducible science and education objectives of ESIIL.
• Share research results with colleagues and the broader science community through peer-reviewed publications, presentations, and other science products.
• Interact with a cohort of ESIIL postdocs working on ML/AI applied to various environmental topics.
• Actively participate in the CS and ESIIL communities and help to promote greater diversity, equity, and inclusion in open environmental data science.

How to Apply:
To apply, please submit the following materials:

1. Resume or CV.
2. A Cover Letter.
3. A 2-page Research Statement.
4. A 1-page Statement on Diversity, Equity and Inclusion.
5. List of contact information for three professional references.

(Optional) Transcripts/Proof of PhD

Please apply by December 15, 2024 for full consideration. Application materials will not be accepted via email.

Last Date for Apply: December 15, 2024

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