Postdoctoral Fellowship in AI, Advanced Materials, and Planetary Health At BIDMaP, UC Berkeley
UC Berkeley, Bakar Institute of Digital Materials for the Planet, United States
- Institution
- UC Berkeley, Bakar Institute of Digital Materials for the Planet
- Country
- United States
- Position type
- Postdoc
- Subject area
- Materials Science
- Salary
- Starting at $85,000/year
- Location
- Berkeley, California, US
- Funding
- Fully funded position
Want to be the strongest applicant for this position?
Book a free 15-minute call with our team. We will look at your profile against what UC Berkeley, Bakar Institute of Digital Materials for the Planet is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.
Book a free call about this position →No cost, no obligation. Mentors who have secured funded PhD positions themselves.
How our PhD admission mentorship works →
We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.
About this position
At BIDMaP (Bakar Institute of Digital Materials for the Planet) UC Berkeley, researchers are combining AI, machine learning, and data science with the physical sciences to confront climate change head-on.
BIDMaP’s Postdoctoral Fellows Program invites applications from recent PhDs in basic or data science fields who are passionate about using computation and discovery science to drive planetary solutions.
Applications Open: October 15, 2026
Application Deadline: December 1, 2026 for full consideration, review will continue until all available fellowships are filled
Target Start Date: Spring / Summer 2027
Duration: Initial 2-year appointment, renewable for a 3rd year upon mutual agreement.
Location: BIDMaP is housed in the beautiful new Barbara and Gerson Gateway at UC Berkeley
About You
Candidates should hold a PhD or equivalent degree awarded between January 2025 - August 2027 and have one of the following backgrounds
Quantitative focus: Advanced training in AI/ML, computer science, statistics, or data science with a strong drive to apply computational methods to physical science problems.
Domain science focus: Advanced training in chemistry, physics, biological sciences, or materials science with a strong vision for integrating AI/machine learning into discovery workflows.
Apply directly to UC Berkeley, Bakar Institute of Digital Materials for the Planet
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by UC Berkeley, Bakar Institute of Digital Materials for the Planet, and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →