Thank you for your interest in applying to VSRP internships at KAUST.
We are happy to share that our in-person internship program has restarted!
However, due to the pandemic, all VSRP applicants applying for in-person internship, must obtain and show proof of full vaccination (vaccine certificates for COVID 19) with one of the following vaccines to be processed as VSRP interns: 2 doses of Pfizer BioNTech, 2 doses of Oxford AstraZeneca, 2 doses of Moderna, or 1 dose of Johnson and Johnson’s Janssen.
We are continuing to offer Remote/Virtual internship. If you are interested in a Remote VSRP internship, please check our “Internship page” and apply to the project of your choice. You may upload a blank page in lieu of vaccination proof in your application form, and mention that you are applying for a Remote internship in your Statement of Purpose.
The project aims to identify applications of deep learning to classification problems involving ontologies, and apply these methods to biological and biomedical datasets. The main challenges of the project are (1) to develop methods that can effectively be applied both to unstructured and structured data and classify instances into classes from ontologies, and (2) to utilize data already structured with ontologies effectively in classification and regression problems. The students will be provided with real-world several datasets and are expected to implement and evaluate deep learning approaches on these datasets. To evaluate the methods on a large scale, students will have access to one of the compute clusters at KAUST.
Program -Computer Science
Division - Computer, Electrical and Mathematical Sciences and Engineering
Center Affiliation -Computational Bioscience Research Center
Field of Study -Computer science, artificial intelligence, machine learning, data mining,bioinformatics, or related
About the Researcher
Associate Professor, Computer Science
Professor Hoehndorf is interested in artificial intelligence, knowledge representation, biomedical informatics, ontology.