
Overview
Due to its ecological and economic importance, persistent monitoring of its key areas is critical for marine biology research, economic development, and environmental protection.
Key Facts
However, long-term survey and observation of extensive marine environments are extremely labor-intensive and hence require new technological development. There have been a numerous efforts made in research and development of robots designed to autonomously survey and collect data in remote areas that are hard to access by human divers or require long-term and repeated monitoring. However, there remain technical challenges in implementing long-term autonomy in underwater robotics to allow a robot to navigate in close proximity of marine lives over an extended period of time while ensuring absolute safety and not interfering with their natural habitats. In this project, we explore learning-based planning/control approaches that combine optimization-based design and data-driven machine learning methods. The Safety-guaranteed Planning and Control for Autonomous Underwater Robots (Internship) is offered at King Abdullah University of Science and Technology (KAUST)
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Visit programme websiteProgramme Structure
- We adopt computational methods from optimization and reinforcement learning to design libraries that allow robots of various types to safely navigate in underwater environments for automated data collection applications.
- The students are expected to collaborate with the lab members to explore creative ideas and implement them on the underwater robot being developed in the robotics lab at KAUST.
- To fulfill the requirements of the project, the students are expected to have experience working with robotic systems/software and confidence in Python programming. Software library design and experiment reports are expected to be delivered at the end of the internship program.
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
Electrical Engineering RoboticsExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
- Official Transcript(s) in English from current and previous institutions
- Letter of Recommendation from faculty member in field of study
- Valid Passport(with six months validity)
- CV - Summary of your career, qualifications and education.
- Statement of Purpose-Explain your motivation to become a VSRP intern
Recommended student academic & research background
- Robotics
- Feedback Control Systems
- Optimization
- Machine Learning
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
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 Fee
-
International
FreeTuition FeeBased on the tuition of 0 SAR per year during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 SAR per year during 3 months.
- This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000.
Living costs for 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)