Faculty Positions in Machine Learning
King Abdullah University of Science and Technology School of Computer, Electrical and Mathematical Engineering
Saudi Arabia

Job Title: Faculty Positions in Machine Learning
Employer:King Abdullah University of Science and Technology

Faculty Positions: Computer, Electrical and Mathematical  Engineering 

Location:KAUST, Thuwal, Kingdom of Saudi Arabia

 

 

 

Description


The Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions in Machine Learning and Applications of AI. Applications at any rank and of any demographic will be considered, although female candidates and junior researchers are particularly encouraged to apply.

 

KAUST is seeking candidates with an established track record of research in one of the subareas of Machine Learning or Artificial Intelligence, including basic methodology (e.g. Deep Learning, Reinforcement Learning, Online Learning, Optimization, and similar topics), as well as applications in areas such as Natural Language Processing, Robotics, and Health Care. Successful candidates will have a PhD in Computer Science or related fields, as well as a strong publication record in the top-tier venues of their respective areas (e.g. NIPS/NeurIPS, ICML, ICLR, AAAI, ACL, AISTATS, CoRL, ICRA, IROS, COLT, JMLR, as well as leading IEEE and SIAM Journals). Senior candidates must have demonstrated strong leadership in the field. Successful candidates will be appointed within the Computer Science program, but will have the opportunity to engage widely with other programs (including Statistics) as well as KAUST research centers.

 

These positions are part of a strategic expansion of KAUST in Machine Learning and Artificial Intelligence to complement existing strengths in Bioinformatics, Supercomputing, and Visual Computing. Additional faculty positions will be available in future years under this initiative. The KAUST Computer Science program offers a unique combination of an intellectually stimulating environment and access to world-class facilities, including KAUST's 5 Petaflop/s Shaheen-2 supercomputer. KAUST's unique funding and organizational structure allows faculty to prioritize their research program over other professional activities.

 

About us

 

KAUST (https://www.kaust.edu.sa) is an international, graduate level research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located on the shores of the Red Sea in Saudi Arabia, KAUST offers superb research facilities, generous assured research funding, and internationally competitive salaries, attracting top international faculty, scientists, engineers, and students to conduct curiosity-driven and goal-oriented research to address the world's pressing scientific and technological challenges related sustainability in energy, water, food, and the environment.

 

You will be required to complete a brief application form and upload a single PDF file including:


A complete curriculum vitae with a list of publications
A research plan
A statement of teaching interests
The names and contact information for at least 3 references for an Assistant Professor position
A list with the names and affiliation of potential referees for Associate Professor and Full Professor or Researchers who have equivalent positions in Industrial or National research laboratories.
Because of the high volume of applications that we receive, only applications submitted through the online form will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the positions are filled.


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