Position Description

The Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), created in partnership with Switzerland’s ETH Zurich and EPFL, is seeking candidates for multiple faculty positions in theoretical computer science, algorithms, and complexity.

Founded in 2022, INSAIT’s mission is to establish itself as a world-class research institution and has attracted outstanding faculty, postdocs, and PhD students. The institute regularly publishes at STOC, FOCS, and SODA.

INSAIT is structured similarly to top U.S. and European research institutions and offers exceptional working conditions, including world-class facilities, attractive salaries and competitive packages. Faculty enjoy scientific autonomy, a de minimis teaching/advising load, and a large budget for hiring multiple postdocs, PhD students, and travel.

We invite excellent faculty applicants of all ranks. This includes tenure-track faculty, as well as tenured faculty who are excited to co-lead, shape and grow the newly established Theory@INSAIT group.

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. More about the program: INSAIT - MIT CSAIL Program Call. 

Eligibility Requirements:

• PhD in computer science or a closely related field by the start date

• Demonstrated ability to pursue a strong and independent research program

Application Documents:

• Curriculum Vitae (CV)

• Research statement (up to 5 pages)

• Three or more letters of recommendation (sent by the referees to contact@insait.ai)

Deadline: Applications received by 30 January 2026 will be assured full consideration; however, we will continue accepting applications until positions are filled.

Apply here: https://insait.ai/faculty

INSAIT is a strong proponent of equal opportunities, diversity, and inclusion, and as such, we strive to offer equal opportunities and access to all candidates regardless of their race, colour, ethnic or social origin, genetic features, language, religion or belief, political or any other opinion, minority membership, disability, age, gender identity, or any other protected characteristic. We strongly welcome applications from all under-represented groups in the field.