Assistant Professor in Marine Systems Modeling

Position Description:

As part of a major initiative to strengthen its research in marine science, the Marine Science Program (MarS) in the Biological and Environmental Science and Engineering (BESE) Division at KAUST is seeking to expand research, higher education and innovations in the field of Marine Data Modelling and Integration. Applications for a faculty position at the rank of: Assistant Professor are invited from highly competitive candidates eager to pursue innovative research addressing fundamental questions and developing cutting–edge technologies for application in marine systems.

This position offers a unique opportunity to leverage KAUST’s unparalleled access to the Red Sea, serving as a catalyst for research that uses computational approaches to integrate biological, physical, and chemical data within a cohesive framework to study marine diversity and function.

Besides establishing a world-class research program, the successful candidate is expected to start a strong teaching program in Marine Systems Modeling and to develop multidisciplinary collaborations within the MarS Program and the BESE, and across divisions, Research Centers and Initiatives at KAUST.

Key Responsibilities:

• Drive forward-thinking research to address fundamental marine science questions, employing bioinformatics and advanced computational techniques to describe interactions, connectivity and/or functional traits within and across marine holobionts and/or ecosystems
• Spearhead the development and application of quantitative models for organismal or systemic networks, across a spectrum of marine life, that can include, for example, microbiomes, plants, benthic and pelagic organisms, and ecosystems
• Commit to offer a standout graduate course in marine data science
• Foster interdisciplinary collaboration within the MarS Program and the BESE Division, extending partnerships across KAUST’s various divisions, strategic initiatives in the Kingdom of Saudi Arabia and international peer

Qualifications:

• Ph.D. in Bioinformatics, Data Science, Marine Science, Microbiology, Environmental Science, or a closely related field
• A strong publication record in relevant scientific journals
• Demonstrated ability to secure external research funding
• Experience in developing quantitative models for organisms or ecosystems
• Excellent communication and collaboration skills
• Teaching and supervisory experience at the graduate student level
• (Preferred) Experience with Red Sea marine organisms or ecosystems

About KAUST

KAUST is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. KAUST attracts top international faculty, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s most pressing scientific and technological challenges. Located in Saudi Arabia, on the eastern shores of the Red Sea, KAUST provides an award-winning campus to live, work, study and play, and offers superb research facilities, with guaranteed baseline research funding, infrastructure support, entrepreneurship opportunities and internationally competitive salaries. For more information about KAUST, please visit http://www.kaust.edu.sa. More information about the BESE Division and the Marine Science Program is available at http://bese.kaust.edu.sa.

Application Instructions:

Interested candidates should upload the following materials:

• A cover letter
• Up-to-date Curriculum Vitae including a full publication list
• Statement of research interests (5 pages maximum)
• Statement of teaching philosophy and an outline of 1-2 graduate planned teaching course(s)
• Names and contact information of 4 to 5 referees. Referees must be acknowledged experts in the field and predominantly from academia
• Copies of most relevant publications (maximum of five)

Applications will be considered as they are received. The position will remain open until filled.

KAUST is an equal-opportunity employer, committed to fostering a diverse and inclusive academic community. We welcome applications from all qualified individuals, including women, minorities, and individuals with disabilities.