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Job Opportunities


  • Research Internships and Visiting Students in Bio-Ontology Research Group

    ​We currently have multiple research internships available. 


    Our group works on challenging problems on the boundary between artificial intelligence, biology and biomedicine. We are looking for visiting research students to join our team for a period of three to six months. The aim of the internship will be to work on computational algorithms to integrate, mine and analyze biological data and gain research experience.

    Candidates should be in their final year of a B.S. degree, or hold a B.S. degree, in computer science, mathematics, statistics, or bioinformatics. Candidates should have strong programming skills.  A background in algorithms, data mining, machine learning, or knowledge representation is desirable.

    Visiting research students are entitled to a monthly stipend, free accommodation, and round-trip airfare.

    Candidates who are willing to work in an exciting environment on computational biology, biomedical informatics, systems biology, and knowledge representation are encouraged to apply. To apply, please send a CV and a brief description of previous research to Robert Hoehndorf.
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  • Postdoctoral Researcher in Bio-Ontology Research Group

    ​We are seeking a post-doctoral researcher with research interests in applying machine learning in computational biology and biomedicine.

     

    Job description:

    The postdoctoral researcher will work on developing methods to analyze graph-structed data in biology and biomedicine. The main areas of application are understanding the molecular basis of disease and phenotypes, and the environmental influences that influence the development of the phenotype. The ideal candidate will have a background in machine learning or datamining and an interest in developing and improving methods to analyze data represented as graphs or characterized with biomedical ontologies. 
    The postdoctoral researcher will be responsible for carrying out research independently and collaboratively with other members of the research group, and present research results at conferences and in scientific journals.
     

    Benefits:

    Postdoctoral researchers are entitled to a competitive salary (commensurate with the applicant's qualifications), free, fully-furnished housing on the KAUST campus, free medical and life insurance, free education at KAUST schools for the postdoctoral researchers' children, and relocation allowance.
     
    KAUST will be responsible for the actual recruiting decision, appointment offers and employment benefits.

    ​​​How to apply:

    To apply, please send a CV and a brief description of previous research to Robert Hoehndorf.​ Learn more
  • ​Ph.D. studentships in Bio-Ontology Research Group

    ​Our group works on challenging problems on the boundary between artificial intelligence, biology and biomedicine. We are looking for Ph.D. students to join our team for developing novel computational algorithms to integrate, mine and analyze biological data. The focus of the position will be on novel methods in artificial intelligence to address problems in making sense of biological data. Areas of application include biomedicine (rare and common diseases), pharmacology (drug repurposing, drug target discovery), and biodiversity (understanding environments and ecosystems).


    Successful candidates should hold a M.S. or B.S. in computer science, mathematics, statistics, or bioinformatics. Candidates should have excellent programming skills and experience.  A strong background in algorithms, data mining, machine learning, or knowledge representation is desirable.

    Ph.D. students at KAUST are entitled to a full scholarship, including free housing, health care, and a monthly stipend (details).

    Candidates who are willing to work in an exciting environment on computational biology, biomedical informatics, systems biology, and knowledge representation are encouraged to apply. To apply, please send a CV and a brief description of previous research to Robert Hoehndorf. Applicants are required to enroll as Ph.D. students at KAUST, and the final recruitment decision is made by KAUST. All requirements for enrollment are available here.
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  • Ph.D. in Bioinformatics and Computational Biology

    ​Our group has openings for two Ph.D. students. The students are expected to work in the areas of bioinformatics and computational biology. The students will be fully covered for tuition fees, fully-furnished housing, and health insurance, plus paid a highly competitive stipend.

    The students will be funded for summer internship with KAUST academic or industry partners, such as Stanford University, UC Berkeley, University of Cambridge, and IBM.
    Successful candidates are expected to be self-motivated and hard working, and have good command of English. Background in Computer Science, Statistics, Bioinformatics, Computational Biology, or related field is preferred. To apply, please send your complete curriculum vitae to Dr. Xin Gao xin.gao@kaust.edu.sa and include the contact information for three references. Review of applications will begin immediately. Learn more
  • Faculty position (all levels): Bioinformatics & Computational Biology (06/02/2017)

    ​​​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-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 fundamental and goal-oriented research to address the world’s pressing scientific and technological challenges in the areas of food, water, energy, and the environment.

    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.

    Requirements

    PhD or equivalent in a relevant 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.

    Research competence

    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, and similar).
    • Signaling, regulatory and metabolic pathways analysis.
    • Development of tools (web-based and standalone) suited for efficient computational biology/bioinformatics.

    ​Apply here.​

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  • Faculty position (all levels): Data Integration in Bioinformatics (06/02/2017)

    ​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 Data Integration. ​

    KAUST 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 fundamental and goal-oriented research to address the world’s pressing scientific and technological challenges in the areas of food, water, energy, and the environment.

    The successful applicant is expected to develop world-leading research in domain of data integration with focus on novel approaches for efficient and accurate targeted information extraction. 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.

    Requirements

    PhD or equivalent in a relevant 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.

    Research competence

    Research competence in the following areas is preferred:

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

    Learn more
  • Graduate Students

    ​Our faculty welcome high performing graduate students to our programs from all over the world.

    We require proven high ability (GPA scores), a strong work ethic and competency in English.

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  • Postdoctoral Fellowships

    ​​Our faculty offer attractive Fellowships and unparalleled research faculties to attract the best available researchers globally.​

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  • Postdoctoral Positions in Bioinformatics and Computational Biology

    ​Postdoctoral Positions in Bioinformatics and Computational Biology

    Two postdoc positions are available immediately in our group. Candidates with previous experience in some of the following areas are strongly encouraged to apply:
    structural biology
    systems biology,
    biological sequence analysis
    machine learning
    statistics.
    Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field is required. Successful candidates are expected to have good publication record, self motivation, and good command of English.

    Successful candidates will have opportunities to work on collaborative research projects with Stanford University, University of Rome, Texas A&M University, and research centers and core facilities at KAUST. The salary is highly competitive depending on qualifications. Income is tax exempt and has a very attractive compensation and benefit packages. For more information please visit the KAUST HR website

    The initial appointment will be for one year, with annual renew up to three years depending on the performance. To apply, please send your complete curriculum vitae to Dr. Xin Gao (xin.gao@kaust.edu.sa) and the contact information for three references. The positions will remain open until filled. Learn more
  • Professor (all levels) in Biomolecular Engineering and Microbiology (20/10/2016)

    ​King Abdullah University of Science and Technology (KAUST) (http://www.kaust.edu.sa) is seeking a highly motivated and skilled faculty member whose research focuses on metabolic pathway design, optimization, simulation, and engineering aimed at industrial biotechnology applications.

    KAUST 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 fundamental and goal-oriented research to address the world’s pressing scientific and technological challenges in the areas of food, water, energy, and the environment.

    The successful applicant is expected to develop strong research in engineering of metabolic pathways and networks of microbial organisms. The faculty member is also expected to establish an experimental laboratory. The faculty member will be part of the Computational Bioscience Research Center (CBRC, www.cbrc.kaust.edu.sa) and affiliated with Biological and Environmental Sciences and Engineering (BESE) Division of KAUST. The position will remain open until filled.

    Requirements:

    PhD or equivalent in a relevant discipline. Candidates should be well-established within the research field. They should demonstrate original research and experience at the highest international level.

    Required documents:

    Application letter
    Detailed CV
    Complete list of publications
    Research statement
    Teaching statement
    List of references and their contact details

    Apply here.

    Learn more
  • Professor (all levels) in Metabolic Engineering (06/02/2017)

    ​​​​​​King Abdullah University of Science and Technology (KAUST) (http://www.kaust.edu.sa) is seeking a highly motivated and skilled faculty member whose research focuses on metabolic pathway design, optimization, simulation, and engineering aimed at industrial biotechnology applications.

    KAUST 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 fundamental and goal-oriented research to address the world’s pressing scientific and technological challenges in the areas of food, water, energy, and the environment.

    The successful applicant is expected to develop strong research in engineering of metabolic pathways and networks of microbial organisms. The faculty member is also expected to establish an experimental laboratory. The faculty member will be part of the Computational Bioscience Research Center (CBRC, www.cbrc.kaust.edu.sa) and affiliated with Biological and Environmental Sciences and Engineering (BESE) Division of KAUST. The position will remain open until filled.

    Requirements:

    PhD or equivalent in a relevant discipline. Candidates should be well-established within the research field. They should demonstrate original research and experience at the highest international level.

    Required documents:

    Application letter

    Detailed CV

    Complete list of publications

    Research statement

    Teaching statement

    List of references and their contact details

    Apply here.​

    Learn more
  • Professor (all levels) in Synthetic Biology (20/10/2016)

    ​King Abdullah University of Science and Technology (KAUST) (http://www.kaust.edu.sa) is seeking a highly motivated and skilled faculty member whose research focuses on synthetic biology, genome editing and genome engineering aimed at industrial biotechnology applications.

    KAUST 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 fundamental and goal-oriented research to address the world’s pressing scientific and technological challenges in the areas of food, water, energy, and the environment.

    The successful applicant is expected to develop strong research in synthetic biology, genome editing and genome engineering of microbial organisms. Candidates with experience in associated fields are encouraged to apply. The faculty member is also expected to establish an experimental laboratory. The faculty member will be part of the Computational Bioscience Research Center (CBRC, www.cbrc.kaust.edu.sa) and affiliated with Biological and Environmental Sciences and Engineering (BESE) Division of KAUST. The position will remain open until filled.

    Requirements:

    PhD or equivalent in a relevant discipline. Candidates should be well-established within the research field. They should demonstrate original research and experience at the highest international level.

    Required documents: 

    Application letter
    Detailed CV
    Complete list of publications
    Research statement
    Teaching statement
    List of references and their contact details

    Apply here.​

    Learn more
  • Vacancies

    ​​Joining the team of professionals at KAUST.

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