The Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions in Applied Analysis, Partial Differential Equations, Applied probability, and Numerical Analysis, Mathematical Foundations of Data Science, Scientific Computing, Optimization, Applied Geometry, and Related Fields at any level (Assistant, Associate, or Full Professor), beginning in the Fall of 2022. Candidates applying for a position of Assistant Professor should have an excellent potential for high-impact research. Candidates applying for Associate and Full Professor positions should have a distinguished track record in research and a strong commitment to service, mentoring, teaching at the graduate level, and making an impact in interdisciplinary research. Candidates working on the interface of  KAUST initiatives, including artificial intelligence, climate and livability, resilient computing and cybersecurity, and smart health, are encouraged.

Candidates must have a doctoral degree in Mathematics or other relevant fields with publications in top journals and subject-matter journals/conferences. Moreover, experience in interdisciplinary research and a strong publication record commensurate with the level of the post he/she applies for are expected. The evidence of a track record in successfully attracting external funding and independent research for senior positions is essential. Women candidates are especially encouraged to apply.

The Computer Science program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology (KAUST) invites applications for multiple faculty positions at all levels (Full, Associate, and Assistant Professor). The CS program (http://cs.kaust.edu.sa) contributes to create computational infrastructure and developing and applying computational methods to a variety of areas, spanning all aspects of knowledge extraction from big data to achieve economic prosperity and improve the quality of life. All relevant research areas of Computer Science will be considered, including but not limited to Artificial Intelligence (broadly scoped, including Machine Learning, Robotics, Data Mining, NLP, etc.), Computer Systems and Networking, Resiliency and Security, High-Performance Computing and Computational Biosciences.

High priority will be given to the overall originality and promise of the candidate’s work rather than the candidate’s sub-area of specialization. Applicants on the interface of KAUST strategic initiatives, including artificial intelligence, climate and livability, resilient computing and cybersecurity, and smart health, are encouraged. An earned PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field, and a strong publication record in top-tier conferences and journals, are required. Senior candidates must have demonstrated strong leadership in the field. Women are strongly encouraged to apply. A successful candidate will be expected to teach courses at the graduate level and to build and lead a research group of postdoctoral fellows and graduate students. Faculty members enjoy secure research funding from KAUST and have opportunities for additional funding through several KAUST provided sources and through industry collaborations.

The Electrical and Computer Engineering (ECE) Program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions at all ranks (Assistant, Associate, and Full Professors), with a preference for candidates at the Assistant Professor level. Candidates applying for a position of Assistant Professor should have an excellent potential for high-impact research. Candidates applying for Associate and Full Professor positions should have a distinguished track record in research and a strong commitment to service and teaching at the graduate level.
We seek candidates in all fields pertaining to Electrical and Computer Engineering. Applicants with a focus on interdisciplinary research, in particular on the interface of KAUST strategic initiatives, including artificial intelligence, climate, environment, energy, and smart health, are particularly welcomed. Examples of such areas include, but are not limited to: 

• Smart grid technologies, energy storage systems, high-efficiency alternative and renewable energy technologies to assure secure access to energy resources while addressing climate change concerns. 
• Mobile and personalized biomedical technologies, signal processing algorithms, and sensors that advance a holistic paradigm of human wellness.
• Communication and computing technologies including high-speed communication systems, Information coding and cryptography.
• Connected and automated mobility systems and assistive technologies to enhance safety, efficiency, and accessibility, in modern smart cities. 
• Next generation smart materials, devices and platforms including but not limited to, system and algorithm development, flexible and wearable electronics, emerging device platforms, and photonic based devices and circuits. 
• Machine learning, artificial intelligence and cybersecurity.
• Robotics and their applications in numerous fields including but not limited to underwater exploration, soft robotics, manufacturing, agriculture, health care among others.

The current challenges that confront the statistical data sciences deal with the need to efficiently process massive data build powerful statistical models, and develop efficient computational tools. There are opportunities to develop impactful research that can address substantive inferential and forecasting problems on a wide array of complex processes including biological, social, physical, epidemiological, climatological and environmental. 
The Statistics Program (https://cemse.kaust.edu.sa/stat) at KAUST aims to contribute to statistical data science by developing modern approaches for conducting rigorous inference, which will help to advance research in these disciplines. Through our methods, researchers and policymakers will be equipped with information along with measures of uncertainty that are necessary for making sound decisions in a timely manner.
To address these current global needs, the Statistics Program at KAUST will be hiring multiple open-rank positions with expertise on these two modern core areas:

• Statistical Data Science with emphasis on high dimensional statistics.
• Statistical Data Science with computational methods.