[Filled] Open Position: Research Scientist (Systematic Review of Critical Data Gaps)

Position Summary
Climate Change AI (CCAI) is seeking two researchers to conduct a systematic review of critical data gaps in the climate change and machine learning (ML) space. These researchers will review the literature and engage domain experts to assess the availability of existing datasets, assess where new or modified datasets could accelerate progress or remove bottlenecks at the intersection of climate change and ML, and publicly document the results of this research. Researchers may optionally pursue additional activities in line with these objectives (such as academic publications or web-based portals), to be scoped and defined with CCAI leadership. We thank DeepMind for providing CCAI with the funding for this position.

Geographic location is flexible within the United States, and day-to-day communication will be virtual, as the CCAI team is distributed worldwide. We are an interdisciplinary and international team and believe that diversity, inclusion, and equity are not only fundamental to the organization but also to progress in addressing climate change as a whole.

Start date: March 2023 or earlier (negotiable)

Commitment: Full-time

Location: Remote within the United States

Eligibility: The applicant must be legally entitled to work in the United States.

Compensation: $80K (USD)

Duration: 1 year

Deadline for application: Applications will be evaluated on a rolling basis.

Roles and responsibilities


Experience and requirements:

Required skills:

Preferred skills:

Additional Attributes

We look for the following in all CCAI team members, in addition to the role-specific requirements listed above:

About CCAI
Climate Change AI (CCAI) is a nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning. Since it was founded in June 2019, CCAI has inspired, informed, and connected thousands of individuals from across academia, industry, and the public sectors, through its foundational reports on AI and climate change, networking and knowledge-sharing events, educational initiatives, and global grants programs. See the CCAI website for further details.


To apply, please send the following to climatechangeai.apply@gmail.com:

  1. Your current CV or resume
  2. Cover letter discussing why you are interested in this position and providing examples of relevant past experiences
  3. 1-2 samples of research, technical, or scientific writing (as attachments or links)

References may be requested at a later stage of the process.