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​Ph.D. studentship in Data Science and Biomedical Applications (Posted on Nov. 9, 2017)

An opening for a Ph.D. or M.S./Ph.D. student position is available in the group of Robert Hoehndorf at the King Abdullah University of Science
and Technology, Thuwal, Saudi Arabia.
Start date: August 2018
Application deadline: Early 2018

Project description:
The student will work on combining methods from Symbolic Artificial Intelligence (formal logics, rule-based systems) with machine learning and statistical approaches to data mining, and apply these methods to biomedical datasets. Major application areas include understanding molecular mechanisms underlying traits, phenotypes, and disease, and identifying ways to perturb biological systems through bioactive compounds (drugs).
The student will join a productive research team at one of the fastest-growing research universities, located in Thuwal, KSA, by the Red Sea.
Expertise required:
- MSc degree (of BSc degree for MSc+PhD applicants) in Computer Science, Mathematics, or Statistics.
- Programming and software engineering experience.
- Proficiency in spoken and written English.
- Experience in one of the following areas:
  - machine learning or optimization
  - Big Data
  - applied statistics and statistical modelling
  - Semantic Technologies, knowledge representation, formal logics
Students are entitled to a competitive stipend, free, fully-furnished housing on the KAUST campus, medical and life insurance, and international education at KAUST schools for dependent children. KAUST will be responsible for the actual admission offer, stipend and benefits​.

How to apply:
Full application must be submitted through the application website here.
Before applying, please send your CV and a brief letter of motivation by email to



Postdoctoral Researcher Position (Posted on Nov. 9, 2017)

We are seeking to fill a position for postdoctoral researchers at the Computational Bioscience Research Center at King Abdullah University of Science and Technology.

The researchers will work in the research group of Robert Hoehndorf, a research group which is internationally recognized for their work in biomedical data mining, and which has strong collaborations with leading research institutes. The postdoctoral research will work on the development and application of Artificial Intelligence methods in bioinformatics and computational biology, with a particular focus on combining symbolic AI approaches (e.g., ontologies, knowledge graphs, rule-based systems) with machine learning methods.


- A completed PhD and Master degree in a relevant field (Computer Science or related), completed in the last 4 years.

- Proficiency in spoken and written English.

- Programming experience and experience in software development

- Experience, demonstrated by a publication record, in one of the following areas:

  - Machine Learning, Data Mining, Statistics, Data Science

  - Semantic Technologies and Ontologies, Knowledge Representation, Formal Logic

  - Development of novel methods in Bioinformatics or Biomedical data analytics


The postdoctoral researchers will be responsible for carrying out high-level research, including presentation of research results at conferences and in scientific journals.

Postdoctoral researchers are entitled to a competitive salary (commensurate with the applicant's qualifications), free, fully-furnished housing on the KAUST campus, medical and life insurance, international education at KAUST schools for dependent 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 your CV, a list of publications, the names and contact details of two referees, and a letter of motivation by email to:


For any questions related to the position, please contact Robert Hoehndorf (


About KAUST:

King Abdullah University of Science and Technology (KAUST) is an international, graduate-level research university dedicated to inspiring a new age of scientific achievement in the Kingdom of Saudi Arabia, in the region, and around the globe. As an independent, merit-based institution, KAUST's pioneering matrix structure of academic divisions and interdisciplinary research centers enables top researchers from around the globe and across all cultures to work together to solve challenging scientific and technological issues.


Research Internships and Visiting Students

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.