Overview
Lots of data in scientific and engineering applications come with natural graph structures such as molecules in Chemistry, proteins in Biology, particles in Physics, planets in Astronomy, Bulk and MOF materials in Material Science, social and citation networks in Data Science, point clouds and meshes in Computer Vision and Graphics and so on.
Key Facts
To model the information of such objects with complex structures, Graph Machine Learning, especially Graph Neural Networks (GNNs), has been proven as one of the most promising tools. Graph neural networks are deep learning architectures that can be trained to represent graphs with node features and edge features. For example, a molecule can be represented by a graph, where each atom is a node in the graph, and each bond is an edge.
The Graph Neural Networks for Science and Engineering (Internship) project is offered at King Abdullah University of Science and Technology (KAUST)
Get more details
Visit programme websiteProgramme Structure
Curriculum includes:- Identifying the ground challenges of graph based problems in Science and Engineering;
- Collecting or processing the desired data into graph formats;
- Proposing novel GNN architectures and training techniques to tackle the challenges of learning on these graph data;
- Training and evaluating the proposed methods on specific metrics;
- Producing well-performing and reproducible results and releasing the modular and reusable codebase to the research community.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Application deadline: All year around
Language
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Delivered
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Computer Sciences View 61 other Short Courses in Computer Sciences in Saudi ArabiaExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Undergraduate students in 3rd year or above and master’s students.
- Minimum GPA: 3.5/4
- Curriculum Vitae (CV)
- Statement of purpose
- Contact details of 3 referees
- Official English language test score
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Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
Domestic Applies to you
Applies to youCitizens or residentsFree
Additional Details
- This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000.
Living costs
Thuwal
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
The KAUST Fellowship includes:
- Full coverage of tuition and bench fees (worth USD $35,000 per year)
- A monthly stipend (worth USD $20,000 per year for PG Diploma and M.S. students, and USD $25,000 to $30,000 for Ph.D. students depending on qualifications and academic progress)
- On-campus housing (worth USD $7,000 per year and covering utilities such as electricity and wifi)
- Health insurance (worth USD $1,450 per year)
- Relocation support (visa, relocation and travel costs)