BIDMaP Postdoctoral Fellow 2026: The Bakar Institute of Digital Materials for the Planet (BIDMaP) at the University of California, Berkeley, invites applications for the 2026 BIDMaP Postdoctoral Fellowship Program. This fellowship seeks exceptional recent PhD graduates in basic sciences or data sciences who are eager to work at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and Physical Sciences to tackle the planet’s most pressing challenges such as clean energy, sustainable chemistry, and advanced materials for environmental solutions.
Summary Table
| Position Title | BIDMaP Postdoctoral Fellow 2026 |
|---|---|
| Organization | Bakar Institute of Digital Materials for the Planet (BIDMaP), UC Berkeley |
| Location | University of California, Berkeley, USA |
| Research Areas | Climate Change, Artificial Intelligence, Advanced Materials, Data Science, Physical Sciences |
| Category | Postdoctoral Fellowship |
| Application Type | Open – Limited Submission Opportunity |
| Reference Letters Required | 3 |
| Internal Submission Deadline | Saturday, November 15, 2025 |
| Number of Awardees | Unlimited |
Designation
Postdoctoral Research Fellow
Research Area
- Artificial Intelligence (AI) and Machine Learning (ML)
- Advanced Materials and Nanoscience
- Climate Change and Environmental Sustainability
- Data Science and Computational Modeling
- Physical and Chemical Sciences
Location
Bakar Institute of Digital Materials for the Planet (BIDMaP)
College of Computing, Data Science, and Society (CDSS)
University of California, Berkeley, USA
Eligibility / Qualification
- Applicants must hold a Ph.D. (or equivalent) in basic science (e.g., chemistry, physics, materials science, or related fields) or data science.
- Candidates should have a demonstrated interest in AI/ML applications within the physical sciences.
- Strong interdisciplinary research background and publication record preferred.
- Ability to work collaboratively with scientists from diverse disciplines.
Job Description
The BIDMaP Postdoctoral Fellow will:
- Conduct independent and collaborative research integrating AI, ML, and data science with experimental natural sciences.
- Develop innovative algorithms, models, and techniques for materials discovery and optimization.
- Contribute to projects addressing clean energy, clean air, clean water, advanced batteries, and sustainable chemical production.
- Collaborate with world-renowned AI/ML experts, chemists, and physicists within UC Berkeley’s College of Computing, Data Science, and Society (CDSS).
- Publish findings in high-impact journals and present research at international conferences.
This fellowship offers a unique opportunity to contribute to planetary-scale solutions by harnessing the synergy of AI and materials science.
How to Apply
Interested candidates should:
- Prepare and submit an application through the BIDMaP Fellowship Portal (UC Berkeley website).
- Include the following materials:
- Curriculum Vitae (CV)
- Research Statement outlining interdisciplinary interests and goals
- Three (3) Letters of Recommendation
- Relevant Publications (if any)
- Ensure all materials are submitted before the internal deadline.
Note: Late or incomplete applications will not be considered.
Last Date to Apply
🗓 Saturday, November 15, 2025
