Faculty Positions in Computational Bioscience Research Center (CBRC) 2018-19

King Abdullah University of Science and Technology (KAUST) (http://www.kaust.edu.sa) is seeking a highly motivated and skilled faculty member for the Bioinformatics track whose research focuses on development of methods and tools for Bioinformatics and Computational Biology. 

KAUST is an international, graduate-only research university, located on the shores of the Red Sea in Saudi Arabia. KAUST offers superb research facilities, including the 5 Petaflop/s Shaheen-2 supercomputer and a large-scale virtual reality installation; generous assured research funding; and internationally competitive salaries. KAUST attracts 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.

The successful applicant is expected to develop world-leading research in domain of bioinformatics/computational biology with focus on development of novel computational approaches for efficient and accurate methods of analyzing biological phenomena at molecular level. The faculty member will be part of the Computational Bioscience Research Center (CBRC) within the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division. The position will remain open until filled. 

We invite applications for faculty positions at all levels (Full, Associate, and Assistant Professor) in the following areas:

 1. Data Integration in Bioinformatics:
   Research competence in the following areas is preferred:

  • New computational methods for analysis of and combining/integrating data and information from disparate existing biological repositories/databases/sources including those containing experimental data.
  • Analysis of biological networks.
 2. Bioinformatics and Computational Biology:

   Research competence in the following areas is preferred:

  • Analysis of next generation sequencing (NGS) and other ‘omics’ data (e.g. CAGE, ChIP-Seq, DHS, RNA-Seq, Ribo-Seq, proteomic, metabolic and NMR spectra, etc.).
  • Signaling, regulatory and metabolic pathways analysis.
  • Development of tools (web-based and standalone) suited for efficient computational biology/bioinformatics.     

 3. Data Management at Extreme Scale (affiliated with ECRC)
 4. Data Analytics at Extreme Scale (affiliated with ECRC)
 5. Algorithms and Software for Extreme Scale, related to Bioinformatics (affiliated with ECRC)

PhD or equivalent in a Computer Science, Mathematics or Engineering discipline. Candidates should be well-established within the research field relevant to the position grade. They should demonstrate original research and experience at the highest international level.

For more information about CBRC, please visit https://cb.kaust.edu.sa/Pages/Faculty-Opportunities.aspx​ 

 How to Apply:

  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.
Note: Due to the high volume of applications, only applicants who submitted through the online form will be considered. Applications will be evaluated as soon as they are received, and taken into consideration until the positions are filled.