Description

Multiple Faculty Positions in Machine Learning at All Levels

Our Machine Learning department is seeking applications for new faculty appointments. We invite candidates at all levels to apply.

The department undertakes rigorous, high-impact, and original research. Topics of interest include, but are not limited to, machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.

Applicants must have a PhD in machine learning or in a closely related area prior to the start of the appointment, and should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring graduate students. MBZUAI offers an attractive remuneration package and generous start-up funds (available every year) to stimulate cutting-edge research and support faculty in building strong research programs. It also offers financial support to all its graduate students.

Interested applicants should submit their materials through the Interfolio link and follow the application instructions below.

For any questions, please contact Prof. Chih-Jen Lin at chihjen.lin@mbzuai.ac.ae 

We strongly encourage early application for appointment. Applications will be accepted and reviewed on a rolling basis. For more information about MBZUAI, see https://mbzuai.ac.ae/

Apply now 

Application Instructions

Please include the following in the application:

·      A cover letter

·      A current Curriculum Vitae

·      A statement of research vision and interests (optional)

·      A statement of teaching interests, experience, and philosophy (optional)

·      A list of publications (optional)

·      The names and contact information of three referees. Reference letters submitted by applicants will not be accepted.

Equal Employment Opportunity Statement

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Location

Abu Dhabi, United Arab Emirates

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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