Position Description

The Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), created in partnership with Switzerland’s ETH Zurich and EPFL, invites applications for multiple faculty positions in robot learning.  

Founded in 2022, INSAIT’s mission is to establish itself as a world-class research institution in AI and computer science. In just three years, INSAIT has attracted outstanding faculty, postdocs, and PhD students of over 20 nationalities. The institute regularly publishes at leading AI-related conferences such as CoRL, ICLR, CVPR, NeurIPS, ICCV, ECCV, ICRA, IROS, and is at the forefront of research in embodied AI, with high-profile projects such as SPEAR-1. 

INSAIT is structured similarly to top U.S. and European research institutions and offers exceptional working conditions, including exclusive access to on-premise compute clusters with state-of-the-art accelerators, a growing pool of hardware platforms for robotics research, and outstanding salaries and faculty packages. 

We welcome excellent applicants – both tenure-track and tenured – with research interests in, but not limited to, generalist robot behaviour and control, robotic manipulation, multimodal learning for robotics, reinforcement learning. Tenure-track hires at INSAIT are eligible to participate in the INSAIT-MIT CSAIL Joint Research Program, a unique initiative that allows INSAIT faculty to spend a year at MIT CSAIL, collaborating with MIT researchers on joint cutting-edge projects, which continue after the visit. More about the program: INSAIT - MIT CSAIL Program Call. 

 Eligibility Requirements: 

• PhD in robot learning or a closely related field 
• Demonstrated ability to pursue an independent research program 
• Strong scientific publication record in leading venues such as CoRL, ICLR, CVPR, NeurIPS, ICCV, ECCV, RSS, ICRA, IROS. 
• Track record of delivering high-impact research projects in the field of robotics 

• Curriculum Vitae (CV) 
• Research statement (up to 5 pages) 
• Three or more letters of recommendation (sent by the referees to contact@insait.ai)