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Assistant Professor - AI for Biology - Electrical Engineering & Computer Sciences and Center for Computational Biology

Artificial Intelligence, Computational Biology and tenure-track assistant professor position at University of California, Berkeley

Apply by Tuesday, Nov 10 at 07:59 UTC

Berkeley, United States

About

Develop new AI and machine-learning methods for biological research in a tenure-track appointment shared by UC Berkeley’s EECS department and Center for Computational Biology. Topics include predicting cellular responses to genetic, molecular and environmental perturbations, molecular interactions, genotype-to-phenotype relationships, genome and biomolecule engineering, and methods that integrate single-cell, spatial, imaging and multimodal data.

The search emphasises broadly applicable methodology that reveals biological principles and supports prediction or manipulation of biological systems. The anticipated start is 1 July 2027. The advertised nine-month salary is USD 111,400–163,200, with possible additional compensation. Applications close on 9 November 2026 at 23:59 Pacific Time.

Topics

  • genotype-to-phenotype

Requirements

A completed doctoral degree or equivalent international degree, or enrolment in a doctoral programme at application. Submit a cover letter, CV/publication list, research statement of up to five pages excluding references, teaching/mentoring statement, three significant-publication summaries with links, authorization form, and three reference letters. Follow the full portal instructions.

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Source: aprecruit.berkeley.edu