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Overview
The student will work on machine learning techniques applied to the study of divergence-free flow reconstruction. Specifically, the student will use different Neural Network architectures and training algorithms to reconstruct a divergence-free flow from sparse and noisy data.
Programme Outcomes
VSRP interns leave with a strong grasp of their research field, equipped with practical skills valuable in further studies or any career. Many participants of this Machine Learning Techniques for Divergence-free Field Reconstruction (Internship) project at King Abdullah University of Science and Technology (KAUST) have presented their findings at conferences or published papers.
For those interested in research or academia, the exposure to leading faculty and cutting-edge research environments provides a strong stepping stone towards pursuing a master’s or Ph.D. at KAUST or other globally ranked universities.
Recommended Student Background
- Education in applied & computational mathematics
- Education and possibly experience in machine learning and/or stochastic numerics
- Experience with code development and software engineering skills, such as C++ and/or python
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Visit programme websiteProgramme Structure
- As the main project deliverable, we expect a scientific report describing the methodology developed in the internship and its numerical use in various applications.
- The working environment the student will use should include a GIT repository for all project-related materials to facilitate proper verification processes. These materials include, among others, the codes and the saved input-outputs corresponding to all tested cases.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- Application deadline: All year around
Language
English
TOEFL® IBT 81
PTE Academic 62
IELTS 6.5
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- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
On Campus
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Mathematics Computer Sciences View 61 other Short Courses in Computer Sciences in Saudi ArabiaExplore more key information
Visit programme websiteWhat students do after studying
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Academic requirements
GPA 3.5
English requirements
TOEFL® IBT 81
PTE Academic 62
IELTS 6.5
Prepare for Your English Test
Cathoven AI IELTS Preparation 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
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at King Abdullah University of Science and Technology (KAUST) and/or in Saudi Arabia, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
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
Saudi Arabia
2270 - 3445 SAR / month
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)
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