POSTDOCTORAL RESEARCH FELLOW POSITION IN APPLIED ARTIFICIAL INTELLIGENCE AND IOT

King Abdullah University of Science and Technology (KAUST) invites applications for a Postdoctoral Researcher position in the field of Applied Artificial Intelligence and Internet of Things (IoT). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab, led by Prof. Gianluca Setti, and contribute to cutting-edge research at the intersection of AI and IoT.

We are seeking talented researchers who have recently completed, or are about to complete, their Ph.D. and are eager to advance their careers by engaging in challenging, innovative, and high-impact research. This position offers a unique opportunity to actively shape the lab’s research agenda and work on ambitious, multidisciplinary projects.

About KAUST

Established in 2009, King Abdullah University of Science and Technology (KAUST) is a graduate research university devoted to finding solutions for some of the most pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary

KAUST brings together the best minds from around the world to advance research. More than 100 different nationalities live, work and study on campus. KAUST is also a catalyst for innovation, economic development and social prosperity, with research resulting in novel patents and products, enterprising startups, regional and global initiatives, and collaboration with other academic institutions, industries and Saudi agencies.

What We Offer

• World-class research environment with state-of-the-art laboratory facilities.
• An exciting international workplace, hosting researchers from over 100 nationalities with opportunities to actively contribute with renowned experts and enhance your career development and training (https://opra.kaust.edu.sa).
• Comprehensive benefits package, including competitive salary, health insurance, and access to outstanding campus amenities and services.

• Ph.D. in a relevant field (e.g., Electrical/Computer Engineering, Computer Science, or related disciplines);
• Proven research track record with a strong publication record in relevant areas;
• Excellent written and verbal communication skills in English (mandatory);
• Ability to work independently, demonstrate critical thinking, and contribute to a collaborative research environment;
• Proven experience in mentoring graduate students is desired;
• Experience in anomaly detection, predictive maintenance, or related topics is preferred.

The position is open to applicants of all nationalities. Interested candidates should submit:

• Curriculum Vitae (CV), including your list of publications;
• Cover letter describing research interests and career goals;
• Copies of Transcripts showing courses taken during the M.S./Ph.D. degree programs;
• Contact information for three referees.