PhD Student

KE:SAI is driven by a single mission: To advance the efficiency frontier of robust & safe physical AI through fully open and reproducible research.

Pursue a PhD at the cutting edge of physical AI, supervised by world-leading researchers. You will be embedded in a collaborative environment, with access to large-scale compute and real-world data, and are expected to publish at top-tier conferences.

Your profile

You have great analytical skills, are highly-motivated, curious, creative, and a good team player. You have a very good mathematical understanding, great coding skills, and prior research or engineering experience related to KE:SAI's mission. If you apply for a Technical Staff position, you have earned a PhD and authored papers at top-tier conferences in computer vision, robotics, or machine learning, or have equivalent industry experience. You are excited about KE:SAI's mission, committed to open science, and are looking to work with some of the most talented researchers in the field at the frontier of AI. Is this you? Then join KE:SAI on their mission!

Your application

To apply, send your application package as one single pdf with maximally 10 pages to: talent@kesai.eu. Your application ideally includes the following information in this order:

• A Cover Letter in which you state (i) why you want to work for KE:SAI and (ii) your most significant accomplishment. They are particularly interested in the how: the steps you took, and what you learned.
• Your Curriculum Vitae (CV) including links to your Google Scholar, Github, and a list of reference letter writers that know you and can be contacted by them.
• Your Research Statement describing your prior research as well as your future agenda. Include links to research papers or technical documentation (Technical Staff) and/or your Bachelor / Master thesis (PhD Student, Intern).
• Your University Transcripts, for both undergraduate as well as graduate level studies (if applicable).